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<strong>About The Role<br><br></strong>We're a rapidly scaling digital goods company, and security operations is a function you'll shape, not just run. As our first Security Operations hire, you'll own threat detection and incident response from start to finish: what we log, what we alert on, and how we respond when something happens. You'll work closely with engineering and our Product Security function to protect our cloud-native platform, and you'll improve our ability to spot and contain threats in ways we can measure. This is a high-impact role with plenty of autonomy. It suits someone who enjoys building security operations from first principles in a modern, fast-moving environment.<br><br>What You'll Do<br><br><ul><li>Build and run core detection and response capabilities: Design and operate our security operations across cloud, identity, endpoint and SaaS, from threat detection and threat hunting through to incident response</li><li>Build security data pipelines: Design and build the pipelines that bring logs from cloud, identity, endpoint and SaaS sources into our SIEM or security data lake. Normalize and enrich the data at ingestion, monitor pipeline health so a broken log source is caught quickly, and balance coverage against cost and retention requirements</li><li>Own our security operations tooling: Select, deploy, configure and tune the SIEM, EDR, cloud threat detection and automation tooling so it raises alerts with a high signal to noise ratio</li><li>Build detections that matter: Write detections as code, map them to MITRE ATT&amp;CK and base them on how attackers would realistically target our environment. Measure and test coverage, and focus effort where the risk is highest</li><li>Lead incident response: Own the incident response plan and playbooks. Act as incident commander for security events and coordinate containment and recovery across engineering, legal and leadership. Run blameless PIRs that leave us stronger<br><br></li></ul><strong>Requirements<br><br></strong><ul><li>Senior experience: Typically 5+ years in security operations, detection engineering or incident response, with hands-on experience building things yourself. A startup or scale-up background is a strong plus</li><li>Cloud detection and response ownership: You've built detections and investigated incidents in AWS, using sources like CloudTrail, GuardDuty, VPC Flow Logs and Kubernetes audit logs</li><li>Depth in key security operations domains: You're comfortable taking the lead in at least one (ideally several) of these:</li><ul><li>Detection engineering and detection-as-code</li><li>Incident response and cloud forensics</li><li>SIEM and security data pipeline architecture</li><li>Security automation (SOAR) and alert triage workflows</li><li>Threat hunting and threat intelligence</li></ul><li>Engineering mindset: You write code (Python, SQL or your SIEM's query language), treat detections and runbooks like software, and automate repetitive work so people can focus on judgment calls. </li><li>Calm, clear communication under pressure: You can run an incident and keep stakeholders informed while it's happening. You can turn technical findings into statements of impact and next steps for engineers, leadership, non-technical colleagues and, when needed, customers<br><br></li></ul>Nice to Have<br><br><ul><li>Experience building the incident response and logging controls needed for SOC 2, ISO 27001 or PCI audits</li><li>Experience managing an MDR or MSSP partner</li><li>Familiarity with breach notification obligations (e.g. UAE PDPL, customer contractual SLAs)</li><li>Experience hiring or mentoring security analysts or engineers as a function grows<br><br></li></ul>If you've ever looked at a wall of untuned alerts and thought, "I could build a detection and response program that actually catches things," this is your chance to do it.<br><br><strong>Benefits<br><br></strong><ul><li>Immediate, large-scale impact on a high-growth business</li><li>Top-of-the-market compensation packages</li><li>Work alongside top regional talent, with team members from Talabat, Careem, Etisalat, and more</li></ul>

<p>The GCC Data Analyst turns sales, inventory, pricing, finance and marketplace data into clear reporting and practical recommendations for the Consumer Electronics and Home Appliances business. The role provides a consistent view of performance across six GCC markets, supports timely commercial decisions, and improves the quality and reliability of business data.</p><p>&nbsp;<strong>Regional performance reporting</strong></p><ul><li><p>Build and maintain daily, weekly and monthly dashboards for sales, gross margin, collections, targets and budget versus actual performance.</p></li><li><p>Analyse results by country, emirate, channel, customer, brand, category, product and salesperson; explain key movements and exceptions.</p></li><li><p>Prepare concise performance packs and commentary for management reviews and country business meetings.</p></li></ul><p><strong>Planning, forecasting and target setting</strong></p><ul><li><p>Coordinate GCC annual, quarterly and monthly target submissions with country and channel teams; consolidate them into a regional view.</p></li><li><p>Prepare sales forecasts using historical run rates, seasonality, confirmed orders, sell-out trends, stock availability, promotions and commercial plans.</p></li><li><p>Track forecast accuracy and highlight gaps, risks and upside opportunities with clear assumptions.</p></li></ul><p><strong>Inventory, PSI and supply planning</strong></p><ul><li><p>Monitor stock on hand, incoming shipments, committed stock, coverage, stock-outs, aging, slow-moving and fast-moving items by market and SKU.</p></li><li><p>Prepare purchase and replenishment analysis using sales history, forecast demand, lead times and target coverage; flag excess and shortage risks.</p></li><li><p>Support liquidation and clearance reviews with aging, margin, stock exposure and recommended action lists.</p></li></ul><p><strong>Pricing and commercial analysis</strong></p><ul><li><p>Maintain analysis of recommended retail prices, dealer and contract prices, promotions, discounts, rebates and pricing support by market.</p></li><li><p>Build and review product value chains and margin scenarios using approved cost, freight, duty, insurance and local charge inputs.</p></li><li><p>Compare market prices and competitor offers from approved research sources; identify price gaps and changes requiring review.</p></li></ul><p><strong>Retail and e-commerce analysis</strong></p><ul><li><p>Consolidate retailer sell-out, point-of-sale, online and marketplace data where available, and distinguish sell-in from consumer sell-out.</p></li><li><p>Track online listings, availability, pricing, Buy Box or seller position, ranking and sales indicators for priority products.</p></li><li><p>Evaluate promotions, campaigns and channel initiatives against sales, margin, stock and agreed success measures.</p></li></ul><p><strong>Data quality, systems and stakeholder support</strong></p><ul><li><p>Maintain reliable product, brand, category, customer, channel, country and salesperson mappings across reporting files and systems.</p></li><li><p>Reconcile dashboard outputs to ERP, finance and source reports; document metric definitions, refresh timing and data limitations.</p></li><li><p>Work with Sales, Finance, Buying, Supply Chain, E-commerce, Customer Care and country teams to resolve data gaps and answer business questions.</p></li><li><p>Automate recurring reports and reduce manual consolidation while maintaining transparent calculations and access controls.</p></li></ul><p><strong>Desired Candidate Profile</strong></p><ul><li><p>Bachelor’s degree in Business Analytics, Statistics, Finance, Economics, Information Systems or a related field.</p></li><li><p>At least 4–6 years of experience in commercial or sales analysis, business intelligence, demand planning or finance analysis; GCC experience is preferred.</p></li><li><p>Experience in consumer electronics, home appliances, retail, distribution or FMCG is strongly preferred.</p></li><li><p>Advanced Excel skills, including PivotTables, Power Query and data modelling; strong Power BI dashboard and DAX skills; working knowledge of SQL. Experience extracting and reconciling ERP data. Familiarity with SAP, Oracle or comparable ERP platforms and marketplace reporting is an advantage.</p></li><li><p>Strong numerical reasoning, attention to detail, written communication and the ability to explain findings to non-technical stakeholders.</p></li><li><p>Professional English required. Arabic or other GCC market languages are an advantage; willingness to travel within the GCC when needed.</p></li></ul>

Binance is a leading global blockchain ecosystem behind the world’s largest cryptocurrency exchange by trading volume and registered users. We are trusted by 300+ million people in 100+ countries for our industry-leading security, user fund transparency, trading engine speed, deep liquidity, and an unmatched portfolio of digital-asset products. Binance offerings range from trading and finance to education, research, payments, institutional services, and more. Our mission is to increase the freedom of money and financial access for people around the world.<br><br><strong>Key Responsibilities<br><br></strong><ul><li>Conduct market research to understand the market landscape and user needs, and translate insights into clear inputs for internal product and technical teams to support end-to-end product delivery.</li><li>Lead business requirements definition and support the delivery of key strategic projects for the region.</li><li>Identify product and user experience optimization opportunities, and define product requirements based on user feedback, data analysis, and business growth objectives.</li><li>Support market expansion initiatives and the launch of new services by coordinating with marketing, development, and regulatory stakeholders.</li><li>Analyze market trends, competitor dynamics, and user needs to identify growth opportunities and market gaps.</li><li>Act as the “eyes and ears” of the company in the market, feeding local insights back into the regional and global product roadmap.</li><li>Develop and implement growth strategies to drive improvements in core business metrics.</li><li>Track and assess competitive positioning and product performance across the region.</li><li>Define product propositions and support go-to-market strategy development.</li><li>Manage day-to-day operational activities, including content governance, user experience monitoring, and cross-functional coordination.</li><li>Track performance metrics and user feedback post-launch, and use insights to inform future product iterations.<br><br></li></ul><strong>Requirements<br><br></strong><ul><li>7+ years of experience in product, operations, strategy, or a related function; crypto/Web3 industry experience is required, and trading product experience is a strong plus.</li><li>Strong analytical skills, with hands-on experience using analytics tools; SQL is a plus.</li><li>Fluent in written and spoken English as a working language.</li><li>Excellent cross-functional collaboration and communication skills, with the ability to drive projects effectively in a fast-paced environment.</li><li>Proven ability to engage confidently with senior internal and external stakeholders, including leadership teams and regulators.</li><li>Demonstrated ability to independently plan and execute growth initiatives.</li><li>Proven success working in a matrix organization<br><br></li></ul><strong>Why Binance<br><br></strong><ul><li>Shape the future of finance </li><li>Collaborate with world-class talent in a user-centric global organization with a flat structure</li><li>Tackle challenging projects in a fast-paced and innovative enviornment with autonomy</li><li>Thrive in a results-driven workplace with opportunities for career growth and continuous learning</li><li>Competitive salary and company benefits</li><li>Remote-first, work-from-home arrangement (may vary depending on the nature of the role and team)<br><br></li></ul>Binance is committed to being an equal opportunity employer. We believe that having a diverse workforce is fundamental to our success.<br><br>By submitting a job application, you acknowledge that you have read our Candidate Privacy Notice.<br><br>We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> Data Scientist About the Role <p>We are seeking an experienced <strong>Data Scientist</strong> to design, develop, and deploy advanced machine learning and artificial intelligence solutions that address complex business challenges. The successful candidate will work across the full data science lifecycle, leveraging structured and unstructured data to build scalable, production-ready models and deliver measurable business value.</p><br><br> <p>Working closely with Engineering, Product, and DevOps teams, you will contribute to the development of innovative AI-driven products and solutions, ensuring best practices in model development, deployment, and operationalization.</p><br><br> Key Responsibilities <ul> <li>Design, develop, and deploy machine learning and deep learning models to solve business and operational challenges. </li><li>Apply advanced statistical, machine learning, and AI techniques to extract insights from structured and unstructured datasets. </li><li>Perform data acquisition, exploration, cleansing, preprocessing, and feature engineering activities. </li><li>Evaluate and select appropriate algorithms, architectures, and modelling approaches based on business requirements. </li><li>Build, optimize, and maintain end-to-end machine learning pipelines. </li><li>Fine-tune and enhance model performance through experimentation, testing, and continuous improvement. </li><li>Identify new data sources and automate data collection and preparation processes where possible. </li><li>Develop solutions across predictive analytics, natural language processing (NLP), and AI-driven automation use cases. </li><li>Integrate machine learning models into production environments using APIs and containerized deployment approaches. </li><li>Collaborate with engineering and DevOps teams to support model deployment, monitoring, and operational excellence. </li><li>Contribute to research and innovation initiatives, evaluating emerging AI and machine learning technologies. </li><li>Work closely with stakeholders to translate business requirements into scalable data science solutions. </li><li>Present insights and technical recommendations to both technical and non-technical audiences. </li><li>Support solution rollout, user adoption, and ongoing optimization activities. </li></ul> Required Qualifications <ul> <li>Bachelor's degree in Data Science, Artificial Intelligence, Computer Science, Mathematics, Engineering, Business Analytics, or a related discipline. </li><li>Relevant industry certifications in AI, Machine Learning, Data Science, or Cloud Technologies are advantageous. </li></ul> Experience <ul> <li>7–10 years of experience in Data Science, Machine Learning, Artificial Intelligence, or related analytical roles. </li><li>Proven experience delivering machine learning solutions in enterprise environments. </li><li>Demonstrated experience working across the complete machine learning lifecycle, from data preparation through deployment and monitoring. </li></ul> Technical Skills Machine Learning &amp; AI <ul> <li>Strong understanding of machine learning and deep learning concepts and methodologies. </li><li>Experience developing models for both structured and unstructured datasets. </li><li>Hands-on experience with: <ul> <li>TensorFlow </li><li>PyTorch </li><li>Scikit-learn </li></ul> </li><li>Knowledge of model evaluation, optimization, and performance tuning techniques. </li></ul> Natural Language Processing (NLP) <ul> <li>Hands-on experience building NLP solutions using: <ul> <li>Hugging Face </li><li>spaCy </li><li>Gensim </li></ul> </li><li>Experience working with transformer-based architectures and modern NLP frameworks. </li></ul> Programming &amp; Data Engineering <ul> <li>Advanced Python programming skills. </li><li>Knowledge of Java or R is desirable. </li><li>Strong experience with: <ul> <li>SQL </li><li>Pandas </li><li>Apache Spark </li></ul> </li><li>Experience handling large-scale datasets and distributed data processing. </li></ul> Deployment &amp; MLOps <ul> <li>Experience developing and exposing models through REST APIs. </li><li>Experience with Docker and containerized deployments. </li><li>Familiarity with ML lifecycle and experiment-tracking tools such as MLflow. </li><li>Understanding of CI/CD processes and production deployment best practices. </li></ul> Desirable Skills <ul> <li>Experience working with Large Language Models (LLMs) and Generative AI solutions. </li><li>Exposure to offline and on-premises AI deployment environments. </li><li>Experience with cloud platforms such as AWS, Microsoft Azure, or Google Cloud Platform (GCP). </li><li>Familiarity with Jupyter Notebooks, Git, and collaborative development workflows. </li><li>Experience with business intelligence and data visualization tools. </li><li>Industry experience within Financial Services, Banking, FinTech, Education, or related sectors would be advantageous. </li></ul> <br><br> </div>

<strong>Own paid and performance growth across the full funnel.<br><br></strong>Finanshels is looking for an AI-native performance marketer to own paid acquisition and funnel<br><br>conversion from first touch to booked call.<br><br>You will plan, launch, measure and optimise campaigns across Google, Meta and LinkedIn (plus emerging channels), pair paid media with AI-assisted<br><br>creative production, and turn regulatory moments - e-invoicing, VAT and Corporate Tax deadlines -<br><br>into qualified demand for Finanshels' services.<br><br>This is a hands-on, metrics-first role for someone who treats AI as their default co-pilot for creative, research, analysis and automation.<br><br><strong>What You Will Own<br><br></strong><strong>In this role you will:<br><br></strong><ul><li> Own the paid acquisition roadmap and budget across Google Search/Performance Max,<br><br></li></ul>Meta, LinkedIn and TikTok, and evaluate new channels as they emerge.<br><br><ul><li> Build, test and scale full-funnel campaigns - awareness, consideration and conversion - with<br><br></li></ul>a clear path to demo/consultation bookings and qualified pipeline.<br><br><ul><li> Produce and iterate ad creative at speed using AI generation tools (copy, static, video and<br><br></li></ul>landing-page variants), running a disciplined test-and-learn cadence.<br><br><ul><li> Own conversion rate optimization: landing pages, forms, offers, WhatsApp and sales-chat<br><br></li></ul>entry points, and hand-off quality into the sales pipeline.<br><br><ul><li> Build attribution and reporting you trust - blending platform data with CRM outcomes - and<br><br></li></ul>report CAC, ROAS, payback and channel mix weekly.<br><br><ul><li> Run account-based experiments for high-value segments (VC-backed startups, funds, multi-<br><br></li></ul>entity groups) in partnership with sales.<br><br><ul><li> Scale winning creatives into repeatable templates and automation so a small team can<br><br></li></ul>operate at a much larger volume.<br><br><ul><li> Partner with SEO, content, RevOps and the pre-sales team so paid and organic reinforce<br><br></li></ul>each other instead of competing for the same keyword.<br><br><strong>Must-have Experience And Skills<br><br></strong><ul><li> 5-7 years in performance/growth marketing with direct ownership of paid budgets and<br><br></li></ul>demonstrable CAC/ROAS improvements.<br><br><ul><li> Fluency in Google Ads, Meta Ads Manager and at least one B2B channel (LinkedIn strongly<br><br></li></ul>preferred).<br><br><ul><li> Strong analytical skills: comfortable setting up and using Google Tag Manager, GA4, ad<br><br></li></ul>platforms, spreadsheets and attribution modelling; able to explain why a number moved.<br><br>8<br><br><ul><li> Proven, daily use of AI tools for creative generation, research, copy and analysis - with<br><br></li></ul>examples of the workflow, not just familiarity.<br><br><ul><li> Experience building or optimizing landing pages and running structured A/B tests.</li><li> A test-and-learn mindset and the discipline to kill losers fast and scale winners.</li><li> Excellent written English.<br><br></li></ul><strong>Nice to have<br><br></strong><ul><li> Experience marketing professional services, fintech, accounting, tax or B2B SaaS.</li><li> Working knowledge of UAE compliance topics (VAT, Corporate Tax, e-invoicing) or a<br><br></li></ul>willingness to learn them fast.<br><br><ul><li> Hands-on with marketing automation, CRO tools and SQL/BI for deeper analysis.</li><li> Arabic language skills.<br><br></li></ul><strong>AI and tooling you will work with<br><br></strong><ul><li> AI creative and copy generation for rapid ad and landing-page variant production.</li><li> AI-assisted audience research, competitor monitoring and keyword/offer ideation.</li><li> Automation between ad platforms, CRM (Zoho) and reporting to keep data clean end-to-<br><br></li></ul>end.<br><br><ul><li> AI agents for reporting summaries, anomaly flagging and budget pacing.<br><br></li></ul><strong>How Success Is Measured<br><br></strong><ul><li> Cost per qualified lead / cost per booked consultation across channels.</li><li> Return on ad spend and blended CAC, with payback within target.</li><li> Conversion rate from click to booked call, and lead-to-opportunity quality.</li><li> Volume of validated creative tests shipped per month.</li><li> Contribution of paid channels to new-clients won.</li></ul>

<ul><li><p>To understand business requirements from multiple stakeholders and accurately translate them into technical requirements for software solutions.</p></li><li><p>Ensuring that requirements are delivered on time and within scope.</p></li><li><p>Design of technical solutions that align with business requirements.</p></li><li><p>Creating detailed documentation (functional specifications, system requirements, workflows, UMLs) for development teams.</p></li><li><p>Ensuring the technical feasibility of the proposed solutions and identifying risks or limitations early on.</p></li><li><p>Acting as the liaison between technical teams (developers, testers, etc.) and business stakeholders to ensure clear communication and understanding.</p></li><li><p>Providing ongoing support and clarification to the development team during the software development lifecycle.</p></li><li><p>Collaborating with QA teams to define acceptance criteria and test cases based on business requirements.</p></li><li><p>Ensuring that software meets functional requirements, performance benchmarks, and quality standards.</p></li><li><p>Assisting in UAT (User Acceptance Testing) and validating that the delivered solution meets business needs.</p></li><li><p>Suggesting improvements to business processes and system features based on feedback from stakeholders and end-users.</p></li><li><p>Monitoring and analysing product performance post-deployment to identify areas for improvement.</p></li><li><p>Working alongside project managers to ensure timely and efficient project delivery.</p></li><li><p>Leveraging AI tools (e.g. Claude) to accelerate requirements analysis, documentation drafting, and workflow automation, while critically reviewing AI-generated outputs for accuracy before use.</p></li><li><p>Writing requirements for integrations with third party providers (telcos, payment gateways, banking partners) and coordinating dependencies across external vendors.</p></li></ul><p><strong>Desired Candidate Profile</strong></p><ul><li><p>Degree in Computer Science, Engineering, Information Technology, or a related field is a must. Certifications in CBAP, PMI-PBA or related certification in Business Analysis is strongly preferred.</p></li><li><p>At least 8 years of hands-on BA experience in a software development environment, with exposure to technical aspects of the development process.</p></li><li><p>Have a deep understanding and knowledge of Banking and Mobile Money domains.</p></li><li><p>Proven track record of writing business requirements for financial systems – knowledge of banking and mobile money is preferred.</p></li><li><p>Deep understanding of Waterfall and Agile methodologies and familiarity with project management tools (e.g., JIRA).</p></li><li><p>Experience in writing detailed business and technical specifications, user stories, and acceptance criteria.</p></li><li><p>Proficient in the Software Development Life Cycle (SDLC).</p></li><li><p>Proficiency with tools for requirements management, such as Microsoft Office, MS Visio, Adobe XD, Confluence or specialized business analysis tools.</p></li><li><p>A good understanding of software development principles, databases (e.g., SQL), and web technologies (e.g., HTML, CSS, JavaScript, APIs), programming languages or frameworks to understand technical discussions.</p></li><li><p>Experience in creating UML diagrams (Use Case, Activity, Sequence, and Class Diagrams) for system design.</p></li><li><p>Ability to develop workflows and process flow diagrams to represent business processes.</p></li><li><p>Ability to understand and explain complex technical concepts to non-technical stakeholders and vice versa.</p></li><li><p>Strong verbal and written communication skills (English) for documentation, reports, and stakeholder meetings.</p></li><li><p>Analytical thinking to break down complex business issues and propose technical solutions.</p></li><li><p>Proactive in identifying problems early in the development cycle and helping find solutions.</p></li><li><p>Working effectively in cross-functional teams, including developers, QA engineers, product owners, and project managers.</p></li><li><p>Managing multiple tasks, meeting deadlines, and adapting to changes in project scope or timelines.</p></li><li><p>Working knowledge of AI/LLM tools, particularly Claude, for requirements analysis, documentation and process automation is a strong plus.</p></li><li><p>Understanding prompt engineering principles and the judgement to critically evaluate AI-assisted outputs for accuracy and business relevance.</p></li><li><p>Experience with API documentation and specification tools such as Postman is an advantage.</p></li><li><p>Awareness of payment rails, regulatory and compliance considerations relevant to mobile money such as PCI-DSS and Data Protection, is an advantage.</p></li><li><p>Exposure to data/reporting tools such as Power BI to interpret product and transaction performance metrics is a plus.</p></li></ul>

<p><strong>About Cognita:</strong></p><p>Cognita is a global leader in independent education. Founded in 2004, we are a growing community of 90 schools in 20 countries - in Europe, North America, Latin America, Asia and the Middle East - serving more than 100,000 students. Each of our schools are proudly unique, however our collective purpose is to create an environment where everyone can, "Thrive in a rapidly evolving world".</p><p><br></p><p><strong>About the Role:</strong></p><p>As a Business Insight Analyst, you will be the key analytics partner for our Education function, helping to transform data into actionable insights that enhance outcomes for students and schools. Embedded within the Education team while reporting into the central data function, you will build strong relationships with stakeholders, translate business questions into analytical solutions, and develop impactful Power BI dashboards and reports using trusted enterprise data models. Working directly with data held within the Databricks platform, you will analyse academic, attendance, wellbeing, pastoral and destination data from a range of school systems, combining both quantitative and qualitative insights to support Cognita's Standards for Transformational Education: Confident, Capable and Connected students. You will play a central role in evaluating educational performance, supporting data quality and governance, contributing to the development of Cognita's Performance Framework and Intelligence Centre, and helping to identify innovative AI-powered tools that improve decision-making. This is an exciting opportunity to influence educational outcomes at scale while championing data literacy and evidence-based practice across our global school community.</p><p><br></p><p>Working Arrangement: 4 days per week in Dubai office, 1 day working from home</p><p><br></p><p>To view the role profile, click here</p><p><br></p><p><strong>Who We Are Looking For:</strong></p><p>We are looking for an experienced and insight-driven analyst who is passionate about using data to improve educational outcomes. The successful candidate will have 3-5 years' experience in a business-facing analytics, insight or BI role, ideally within the education, schools or edtech sector, and be confident working with stakeholders at all levels, including school leaders and academic teams. You will possess strong SQL skills, with the ability to query and explore data directly to answer complex business questions, alongside advanced Power BI expertise for developing impactful dashboards and reports. An understanding of educational performance measures, including attainment, progress and value-add, is highly desirable, as is the ability to translate data into clear, actionable insights that support decision-making. Comfortable working in Agile environments, you will be skilled at gathering requirements, managing priorities and communicating effectively with both technical and non-technical audiences. Experience handling sensitive pupil, safeguarding and school data with professionalism, discretion and a strong understanding of data protection requirements is essential. A degree in a relevant field and Microsoft Power BI certification would be advantageous. Above all, you will be a collaborative and proactive individual who is committed to using data to drive continuous improvement across our schools and education community.</p><p><br></p><p><strong>How to Apply:</strong></p><p>Complete this application before the closing date. The Closing Date for Applications is: <strong>Sunday 18th October 2026</strong></p><p><br></p><p>Cognita Schools is committed to safeguarding and promoting the welfare of children and young people. We expect all staff and volunteers to share this commitment. All appointments are subject to safer recruitment checks, including an enhanced DBS check. Our Safeguarding and Child Protection Policy is available on the school website. Details on Recruitment of Ex-Offenders is included within the Application Guidance.</p><p><br></p><p>We are an equal opportunities employer committed to diversity and treating all employees with dignity and respect regardless of background</p>

<strong>About Cognita:</strong> Cognita is a global leader in independent education. Founded in 2004, we are a growing community of 90 schools in 20 countries - in Europe, North America, Latin America, Asia and the Middle East - serving more than 100,000 students. Each of our schools are proudly unique, however our collective purpose is to create an environment where everyone can, "Thrive in a rapidly evolving world".<br><br><strong>About the Role:<br><br></strong>As a Business Insight Analyst, you will act as a trusted analytics partner to our Finance and People teams, helping turn data into meaningful insights that drive business performance and decision-making. Reporting into the central data team while working closely with stakeholders across the organisation, you will develop and maintain impactful Power BI reports and dashboards, analyse data directly from the Databricks platform, and combine financial and workforce metrics to provide a holistic view of performance. You will translate business questions into clear analytical solutions, deliver actionable recommendations, and support enterprise reporting aligned to Cognita's KPI framework. The role also offers the opportunity to contribute to the development of AI-powered tools and self-service analytics capabilities, while collaborating with colleagues across Data Engineering, Analytics Engineering and AI Enablement to strengthen data-driven decision-making across the organisation. Flexibility, curiosity and a proactive approach will be key as you support both ongoing business priorities and ad hoc analytical projects across a range of functions.<br><br>Working Arrangement: 4 days per week in Dubai office, 1 day working from home<br><br>To view the role profile, click here<br><br><strong> Who We Are Looking For:</strong> We are looking for a commercially minded and analytically driven Business Insight Analyst with experience partnering closely with stakeholders to turn data into meaningful business insight. The successful candidate will have 2-4 years' experience in a business-facing analyst, insight or BI role, ideally working with finance, HR or people-related data, and will be confident using SQL to explore data, answer ad hoc business questions and identify trends and opportunities. You will have strong Power BI skills, with the ability to build and maintain engaging dashboards and reports, alongside excellent analytical capabilities to interpret financial and workforce metrics and translate findings into clear, actionable recommendations. Comfortable working with stakeholders at all levels, you will be able to gather requirements, prioritise competing demands and convert business needs into well-defined analytical solutions. Experience working in Agile environments is essential, while a degree in a relevant field and Microsoft Power BI certification would be advantageous. Above all, you will be a proactive communicator who enjoys solving problems, building relationships and helping drive data-informed decision-making across the organisation.<br><br><strong>How to Apply:<br><br></strong>Complete this application before the closing date. The Closing Date for Applications is: <strong>Sunday 18th October 2026<br><br></strong>Cognita Schools is committed to safeguarding and promoting the welfare of children and young people. We expect all staff and volunteers to share this commitment. All appointments are subject to safer recruitment checks, including an enhanced DBS check. Our Safeguarding and Child Protection Policy is available on the school website. Details on Recruitment of Ex-Offenders is included within the Application Guidance.<br><br>We are an equal opportunities employer committed to diversity and treating all employees with dignity and respect regardless of background

<p><strong>About Cognita:</strong></p><p>Cognita is a global leader in independent education. Founded in 2004, we are a growing community of 90 schools in 20 countries - in Europe, North America, Latin America, Asia and the Middle East - serving more than 100,000 students. Each of our schools are proudly unique, however our collective purpose is to create an environment where everyone can, "Thrive in a rapidly evolving world".</p><p><br></p><p><strong>About the Role:</strong></p><p>As a Business Insight Analyst, you will act as a trusted analytics partner to our Finance and People teams, helping turn data into meaningful insights that drive business performance and decision-making. Reporting into the central data team while working closely with stakeholders across the organisation, you will develop and maintain impactful Power BI reports and dashboards, analyse data directly from the Databricks platform, and combine financial and workforce metrics to provide a holistic view of performance. You will translate business questions into clear analytical solutions, deliver actionable recommendations, and support enterprise reporting aligned to Cognita's KPI framework. The role also offers the opportunity to contribute to the development of AI-powered tools and self-service analytics capabilities, while collaborating with colleagues across Data Engineering, Analytics Engineering and AI Enablement to strengthen data-driven decision-making across the organisation. Flexibility, curiosity and a proactive approach will be key as you support both ongoing business priorities and ad hoc analytical projects across a range of functions.</p><p><br></p><p>Working Arrangement: 4 days per week in Dubai office, 1 day working from home</p><p><br></p><p>To view the role profile, click here</p><p><br></p><p><strong>Who We Are Looking For:</strong></p><p>We are looking for a commercially minded and analytically driven Business Insight Analyst with experience partnering closely with stakeholders to turn data into meaningful business insight. The successful candidate will have 2-4 years' experience in a business-facing analyst, insight or BI role, ideally working with finance, HR or people-related data, and will be confident using SQL to explore data, answer ad hoc business questions and identify trends and opportunities. You will have strong Power BI skills, with the ability to build and maintain engaging dashboards and reports, alongside excellent analytical capabilities to interpret financial and workforce metrics and translate findings into clear, actionable recommendations. Comfortable working with stakeholders at all levels, you will be able to gather requirements, prioritise competing demands and convert business needs into well-defined analytical solutions. Experience working in Agile environments is essential, while a degree in a relevant field and Microsoft Power BI certification would be advantageous. Above all, you will be a proactive communicator who enjoys solving problems, building relationships and helping drive data-informed decision-making across the organisation.</p><p><br></p><p><strong>How to Apply:</strong></p><p>Complete this application before the closing date. The Closing Date for Applications is: <strong>Sunday 18th October 2026</strong></p><p><br></p><p>Cognita Schools is committed to safeguarding and promoting the welfare of children and young people. We expect all staff and volunteers to share this commitment. All appointments are subject to safer recruitment checks, including an enhanced DBS check. Our Safeguarding and Child Protection Policy is available on the school website. Details on Recruitment of Ex-Offenders is included within the Application Guidance.</p><p><br></p><p>We are an equal opportunities employer committed to diversity and treating all employees with dignity and respect regardless of background</p>

<p><strong>About Cognita:</strong></p><p>Cognita is a global leader in independent education. Founded in 2004, we are a growing community of 90 schools in 20 countries - in Europe, North America, Latin America, Asia and the Middle East - serving more than 100,000 students. Each of our schools are proudly unique, however our collective purpose is to create an environment where everyone can, "Thrive in a rapidly evolving world".</p><p><br></p><p><strong>About the Role:</strong></p><p>As our Senior Analytics Engineer, you will play a pivotal role in shaping Cognita's enterprise analytics capability by building and governing the analytical and semantic layer that transforms raw data into trusted, reusable insights. Working within Databricks and reporting to the Analytics &amp; Insight Manager, you will design and maintain scalable transformation pipelines, analytical data models and KPI frameworks that ensure consistent, certified definitions are used across Finance, HR, Education and Commercial functions. This hands-on role will see you lead the development of Cognita's semantic layer, implement robust testing and data quality controls, and apply governance standards that enable users to confidently discover, understand and utilise data. Partnering closely with Data Engineering, Data Architecture, Business Insight and Customer Insight teams, you will translate business requirements into high-performing data models that support reporting, analytics, self-service BI and emerging AI-driven solutions. You will also drive best practice in analytics engineering, continuously evolving Cognita's data modelling standards and ensuring analytical assets remain scalable, performant and aligned to changing business needs.</p><p><br></p><p>Working Arrangement: 4 days per week in Dubai office, 1 day working from home</p><p><br></p><p>To view the role profile, click here</p><p><br></p><p><strong>Who We Are Looking For:</strong></p><p>We are seeking an experienced and technically strong analytics professional with a proven track record of building scalable, reusable data models and semantic layers that support enterprise-wide reporting and decision-making. The successful candidate will have at least five years' experience in analytics engineering, data engineering or a similar data-focused role, with hands-on expertise in Databricks, including Lakeflow, Unity Catalog, Delta Lake, Git integration and CI/CD deployment practices. You will possess advanced SQL and Python skills, strong dimensional modelling expertise, and a thorough understanding of data quality, testing and governance principles. Comfortable working in agile, engineering-led environments, you will be able to translate complex business requirements into clear, trusted data models that serve multiple stakeholders and use cases. Experience with Power BI or similar business intelligence tools is essential, along with the ability to build strong relationships with both technical and non-technical colleagues. A degree in Data, Computer Science, Statistics, Economics or a related field is desirable, as are Databricks and Microsoft Power BI certifications. Above all, you will be passionate about delivering high-quality analytical assets that enable consistent, data-driven decision-making across the organisation.</p><p><br></p><p><strong>How to Apply:</strong></p><p>Complete this application before the closing date. The Closing Date for Applications is: <strong>Sunday 18th October 2026</strong></p><p><br></p><p>Cognita Schools is committed to safeguarding and promoting the welfare of children and young people. We expect all staff and volunteers to share this commitment. All appointments are subject to safer recruitment checks, including an enhanced DBS check. Our Safeguarding and Child Protection Policy is available on the school website. Details on Recruitment of Ex-Offenders is included within the Application Guidance.</p><p><br></p><p>We are an equal opportunities employer committed to diversity and treating all employees with dignity and respect regardless of background</p>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <br> <b>About Us:</b><br> First Abu Dhabi Bank (FAB) is the largest bank in the UAE and one of the world's largest and safest financial institutions. We offer a comprehensive range of personal and private banking services, including credit cards, Islamic banking, investments, loans, and mortgages. Our commitment to excellence and innovation drives us to provide top-tier financial solutions to our clients.<br> <b>Life at FAB:</b><br> Working at FAB means being part of a team of talented and passionate individuals with a shared vision to support the ambitions of our stakeholders to "Grow Stronger." We embrace the needs of our customers across the globe with a sense of responsibility and confidence driven by extensive expertise that can only be delivered by an ambitious world-class organization<br> <b>Career Development:</b><br> FAB offers unique career choices, a chance to innovate, craft solutions for the future, and express yourself in a performance-based culture that will unleash the best in you. Whether you are an experienced professional or just starting your career, FAB provides a range of learning and development initiatives to support all employees through training and skill development.<br> <b>Our Values:</b><br> At FAB, we place our customers at the core of our activities, live our values each day in every way, celebrate achievements, and empower each other to deliver leading solutions. We have structured plans for the recruitment and career progression of Emirati talent to enable them to make a mark in the financial and banking sector both regionally and globaly that rewards your hard work and dedication.<br> Join our team and be part of a journey to shape the future of banking.<br><br>Responsibilities:<br><p><strong>Job Purpose</strong></p><br><p>Support the AVP, Data Analysis &amp; Reporting and Head of Business Governance in delivering analytics, reporting, business intelligence, automation, and decision-support solutions across Consumer Banking and other business units. The role focuses on data-driven insights, ad hoc analysis, CRM lead performance, digital analytics, and reporting automation to support strategic decision-making.</p><br><p><strong>Key Responsibilities&nbsp;</strong></p><br><ol><li>Source, validate, and maintain data from Enterprise Data Warehouse (EDW) and other banking systems to ensure data accuracy and integrity.</li><li>Perform ad hoc analytics and deep-dive analyses to support business decision-making across Consumer Banking and other bank functions.</li><li>Develop and deliver daily, weekly, monthly, and quarterly management reports, dashboards, and performance packs.</li><li>Drive reporting automation and business intelligence initiatives using EDW, Power BI, and other analytics tools.</li><li>Monitor, analyze, and report on CRM campaign effectiveness, lead management performance, and conversion metrics.</li><li>Track and provide insights on digital customer journeys, digital adoption, and sales funnel performance.</li><li>Collaborate with business, technology, compliance, and stakeholder teams to support strategic projects, regulatory requirements, and process improvements.</li><li>Conduct proactive business performance analysis and provide actionable recommendations to enhance customer, sales, and operational outcomes.</li></ol><p><strong>Qualifications &amp; Experience</strong></p><br><ul><li>Bachelor's degree in Management Information Systems, Business Analytics, Statistics, Computer Science, or a related discipline.</li><li>Minimum 3 years of experience in Business Intelligence, Analytics, Reporting, or Decision Support functions within the banking sector.</li><li>Strong understanding of Consumer Banking products, processes, and business models.</li><li>Proficiency in SQL and advanced Microsoft Excel.</li><li>Experience with BI and visualization tools such as Power BI, OBIEE, Business Objects, or similar platforms.</li><li>Knowledge of data warehousing, ETL processes, and data governance principles is preferred.</li><li>Strong analytical, problem-solving, presentation, and stakeholder management skills.</li><li>Ability to communicate effectively with senior stakeholders and deliver under tight deadlines.</li></ul> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p>Ready to do the most impactful work of your career? At&amp;nbsp;Coinbase, we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for 'good enough,' you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.”&amp;nbsp;learn more about working at Coinbase.</p><br><br><p><strong>What you’ll do:&amp;nbsp;</strong></p><br><ul><li>Own key activities in the monthly and quarterly close, including reconciliations, journal entries, balance-sheet analysis, reporting, and resolution of breaks or unusual activity.</li><li>Support the preparation, review, and submission of VARA regulatory reporting, including data-quality checks, reconciliations, reporting controls, and audit trails.</li><li>Execute and strengthen SOX controls, maintain process documentation and evidence, and support Internal Audit and external-audit requests and remediation.</li><li>Partner with cross-functional teams on new product launches and business initiatives, ensuring accounting and regulatory readiness from inception.</li><li>Review flow of funds, legal-entity impacts, posting rules, ledger and subledger design, reconciliations, testing, and launch readiness for new products.</li><li>Identify and implement opportunities to automate and scale accounting operations through technology and process improvement.</li><li>Identify accounting, reporting, regulatory, and operational risks early and drive issues to resolution.</li></ul><p><strong>Required Skills and Experience:</strong></p><br><ul><li>Bachelor’s degree in Accounting, Finance, or a related field; CPA, CA, ACCA, or equivalent qualification preferred.</li><li>5+ years of progressive experience in accounting, controllership, audit, financial services, fintech, capital markets, exchange, custody, clearing, or digital assets.</li><li>Strong experience with monthly close, financial reporting, reconciliations, audit support, and internal controls.</li><li>Experience with SOX, regulatory reporting, process documentation, control testing, or remediation; exposure to VARA is strongly preferred.</li><li>Ability to understand end-to-end transaction flows and assess impacts across legal entities, systems, ledgers, and reporting outputs.</li><li>Strong analytical, organizational, communication, and stakeholder-management skills, with the ability to operate independently across international time zones.</li><li>Familiarity with derivatives, digital assets, OmniLedger/ABOR, NetSuite, SQL, or finance analytics tools is preferred.</li><li>Utilizes generative AI responsibly, maintaining human oversight to deliver business-ready outputs and drive measurable improvements in workflow efficiency, cost, and quality.</li></ul><p><strong>Pay Transparency Notice:</strong> The target annual <strong>base</strong> salary for this position can range as detailed below. Total compensation mayalso include equity and bonus eligibility and benefits (including medical, dental, and vision).</p><br><br>Annual base salary range (excluding equity and bonus):<br><span>410,000 د.إ</span><span>&amp;mdash;</span><span>410,000 د.إ AED</span><br><br><br><ul><li><strong><em>Application Limit: </em></strong>Candidates may submit a maximum of 3 applications within a 6-month period.</li><li><span><em><strong>Equal Opportunity Employer: </strong>Coinbase is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or genetic information. Applicants with criminal histories will be considered consistent with applicable federal, state, and local laws.</em></span></li><li><span><em><strong>US Applicants: </strong>View Employee Rights, Know Your Rights, and E-Verify Notice of Participation.</em></span></li><li><span><em><strong>Accommodations: </strong>If you are an individual with a disability who needs a reasonable accommodation, email us your request and contact info at accommodations[at]coinbase.com.&amp;nbsp;Need screen reading technology? Click here to download a free compatible screen reader and view thetutorial.</em></span></li><li><span><em><strong>Data Privacy &amp;amp; Arbitration: </strong>By submitting your application, you agree to our Candidate Privacy Notice. US applicants: By submitting your application, you agree to Arbitration of Disputes.<br></em></span></li></ul><br> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> Binance is a leading global blockchain ecosystem behind the world’s largest cryptocurrency exchange by trading volume and registered users. Binance is trusted by more than 320 million people in 100+ countries for its industry-leading security, transparency, trading engine speed, protections for investors, and unmatched portfolio of digital asset products and offerings from trading and finance to education, research, social good, payments, institutional services, and Web3 features. Binance is devoted to building an inclusive crypto ecosystem to increase the freedom of money and financial access for people around the world with crypto as the fundamental means.<br> <strong>About Binance Accelerator Program</strong><br> Binance Accelerator Program (BAP) is a 3-6 month internship program designed for Early Career talent to have firsthand experience in the rapidly expanding digital assets space. You will be given the opportunity to develop your skills at Binance and understand what it’s like to work at the world's leading blockchain ecosystem. As part of your internship in the BAP, there will also be opportunities for networking and development, which will expand your professional network and build transferable skills to propel you forward in your career. Learn about the BAP Program HERE.<br> <strong>Who may apply</strong><br> Current university students and recent graduates.<br> <em>*Terms of employment / engagement shall be subject to contract and local applicable laws</em><br> <p><strong><span>About the Role</span></strong></p><br> <p><span>We're looking for someone to join our VIP Institutional Growth &amp; Operations team, supporting the growth, activation, and day-to-day operations of our institutional and VIP client products. You'll drive client growth initiatives while keeping the operational engine running cleanly. It's a high-exposure role for someone early in their career who wants to learn how an institutional product grows and operates end to end.<br></span></p><br> <strong><span>What You'll Do</span></strong><span><br>- Growth and Operations Support&nbsp;</span><br> <p><span>Help identify and research high-potential institutional, broker, and VIP prospects.</span></p><br> <p><span>Support growth initiatives, prospect lists, account expansion plans, reactivation of dormant high-value accounts.</span></p><br> <p><span>Assist POCs and the growth team in preparing client proposals, incentive structures, and follow-ups.</span></p><br> <p><span>Coordinate operational workflows between growth, middle office, and support functions to remove onboarding and activation friction.<br></span></p><br> <p><span>- Data &amp; Reporting&nbsp;</span></p><br> <p><span>Produce recurring reports (daily/weekly) on client volume, concentration, activation, and program performance.</span></p><br> <p><span>Pull and sanity-check data from internal data warehouses / BI tools and flag anomalies early.</span></p><br> <p><span>Support ad-hoc analysis for the growth and product teams.<br></span></p><br> <p><span>- Cross-Functional Coordination&nbsp;</span></p><br> <p><span>Partner with Product, Compliance, and Legal on client eligibility and incentive setup where required.</span></p><br> <p><span>Help maintain product documentation, process playbooks, and internal knowledge bases.</span></p><br> <p><span>Identify repetitive manual steps and suggest improvements or automation.<br></span></p><br> <p><strong><span>What We're Looking For<br></span></strong></p><br> <ul> <li><span>0–2 years of experience (internships count) in operations, business/commercial analytics, product ops, growth, or a related function.</span></li> <li><span>Strong attention to detail and comfort working with numbers, thresholds, and structured criteria.</span></li> <li><span>Working proficiency with spreadsheets; basic SQL or a clear willingness to learn quickly.</span></li> <li><span>Clear written communication, able to summarize data and decisions crisply for stakeholders.</span></li> <li><span>Highly organized; able to juggle recurring deadlines and batch processes without dropping details.</span></li> <li><span>Based in the UAE or able to work effectively on a UAE-aligned schedule (remote).<br></span></li> </ul> <p><strong><span>Nice-to-have</span></strong></p><br> <ul> <li><span>Familiarity with crypto / exchange / fintech products and VIP or institutional client programs.</span></li> <li><span>Understanding of trading mechanics (spot/futures, maker/taker, fee tiers, rebates).</span></li> <li><span>Exposure to BI tools and data warehouses.</span></li> </ul> <br><br> </div>

<p><strong>Overview</strong></p><p><br></p><p>ADSS is a successful retail and institutional brokerage based in Abu Dhabi. The company is currently undergoing a multi-year transformation to become a fast growing, purpose-led, data-driven enterprise that delivers market-leading personalized content, propositions and experiences to traders. To reinforce client-centricity the company structure, technology and operations are being redesigned alongside the crafting of a high-performance culture underpinned by The ADSS Way. The objective is for ADSS to become a dynamic and innovative, trusted market leader as measured by feedback from clients, talent, shareholders and competitors.</p><p><br></p><p>The Associate, Liquidity Management supports the Liquidity desk with daily, weekly and monthly analysis, reporting and administrative tasks that underpin Front Office objectives and strategies. The role monitors liquidity provider (LP) performance and client flow and helps ensure liquidity is allocated efficiently to ADSS’s hedging accounts and external counterparties.</p><p><br></p><p>The role operates under the guidance of the Liquidity Manager, follows established desk controls and escalates pricing, execution and connectivity issues to senior team members for resolution.</p><p><br></p><p><br></p><p><strong>Key Responsibilities and Accountabilities</strong></p><p><br></p><ul><li>Prepare and distribute weekly taker performance reports, analysing give-up client volumes and fill-to-reject ratios.</li><li>Continuously monitor spreads and support adjustments to the volatility spreader in line with guidance from the Liquidity Manager.</li><li>Engage directly with global banks and counterparties to share analysis and identify flow optimisation opportunities that enhance desk revenue.</li><li>Prepare and distribute monthly liquidity provider (LP) reports to all FX and Metals counterparties.</li><li>Conduct daily, weekly and monthly analyses of LP performance to support internal liquidity management discussions.</li><li>Monitor client flow using the Kx FX Analytics suite and flag unusual patterns or optimisation opportunities.</li><li>Use client flow analysis to provide feedback to the Liquidity Manager, Sales coverage teams or clients, as directed.</li><li>Perform routine connectivity checks on LP streams across data centres and platforms, escalating issues to the Liquidity Manager and the Quant and IT teams.</li><li>Support the investigation and resolution of spread, pricing and execution queries raised by the Sales and Trading teams.</li><li>Prepare monthly invoices for give-up clients billed on a per-million (PPM) basis.</li><li>Support competitor and market analysis to help keep ADSS aligned with industry developments.</li><li>Maintain flexibility in working hours to support desk coverage during the London and US trading sessions.</li><li>Undertake other duties as assigned to support the effective operation of the Liquidity Desk.</li></ul><p><br></p><p><strong>Qualifications</strong></p><p><br></p><ul><li>Bachelor’s degree in Finance, Economics, Business, Mathematics or a related discipline.</li></ul><p><br></p><p><strong>Experience</strong></p><p><br></p><ul><li>1–3 years’ experience in an FX, liquidity management, eFX trading, trading support or related analytical role within financial services.</li><li>Exposure to OTC derivative markets (FX Spot, CFDs, Bullion) and to LP or client flow analysis is desirable.</li><li>Working knowledge of the basic controls of trading operations and the systems used on a liquidity desk.</li></ul><p><br></p><p><strong>Skills and Competencies</strong></p><p><br></p><ul><li>Strong analytical skills with the ability to work with large datasets and produce clear reports.</li><li>Proficiency in Excel, PowerPoint and Word; familiarity with Bloomberg.</li><li>Ability to communicate confidently in English, in meetings and with counterparties.</li><li>Attention to detail, organisation and the ability to meet daily, weekly and monthly deadlines.</li><li>Willingness to learn the technology used on the Liquidity Desk (e.g. Kx FX Analytics); knowledge of Python/SQL/KDB is beneficial but not essential.</li><li>Self-starter attitude with the ability to work under guidance and escalate appropriately.</li></ul><p><br></p>

<strong>Description<br><br></strong>Zeal Group is an award-winning global FinTech powerhouse with 700+ professionals across London, Europe, Asia, MENA, and South America. Through our subsidiary Traze, we deliver advanced multi-asset trading solutions across Gold, Oil, FX, Indices, and Cryptocurrencies, built for today's fast-moving, high-volatility markets.<br><br><strong>About The Role<br><br></strong>We are looking for a <strong>Junior Trading Operations Executive</strong> to join our Trading Operations team, operating under our CMA Category 1 licensed activity. This is a <strong>pure A-Book brokerage. </strong>This role offers hands-on exposure to the operational, technical, and analytical functions that support a regulated multi-asset brokerage. You will work closely with Trading, Risk, Operations, Compliance, and Technology teams to support platform administration, liquidity connectivity, trade monitoring, reconciliations, and reporting activities.<br><br>This is an excellent opportunity for someone at the beginning of their career who is passionate about financial markets and wants to develop expertise in trading operations, platform management, and market surveillance within a fast-growing FX/CFD environment.<br><br>Key Responsibilities<br><br><ul><li>Trading Operations &amp; Client Support: Support the day-to-day administration of trading accounts and trade-related activities, ensuring client requests, account records, and trade information are processed accurately and in accordance with internal procedures and regulatory requirements</li><li>Platform Administration &amp; Liquidity Operations: Support the administration and monitoring of MT5 trading infrastructure, including MT5 Groups, Gateways, liquidity provider connectivity, FIX API integrations, pricing feeds, trading instruments, and market configurations to ensure smooth and efficient trading operations</li><li>Trade Monitoring &amp; Market Surveillance: Monitor trading activity to identify unusual, suspicious, or prohibited trading behaviour, supporting internal investigations and ensuring compliance with company policies, client agreements, and regulatory standards</li><li>Reconciliation, Reporting &amp; Analytics: Perform daily reconciliations and operational reporting, helping to ensure the accuracy of trade records, account balances, and transaction data while highlighting discrepancies and operational risks</li><li>Process Improvement &amp; Automation Support: Contribute to operational efficiency initiatives by supporting system enhancements, testing new configurations, and assisting with the development of reporting and monitoring tools</li><li>Cross-Functional Collaboration &amp; Compliance: Work closely with Trading, Risk, Compliance, Operations, and Technology teams to support smooth trade processing, regulatory compliance, audit requirements, and ongoing business operations<br><br><br></li></ul><strong>Requirements<br><br></strong>Must-have:<br><br><ul><li>Bachelor's degree in Finance, Economics, Mathematics, Statistics, Business, Computer Science, or a related field</li><li>0-2 years of experience in Trading Operations, FX/CFD brokerage, financial markets, fintech, or banking</li><li>Basic understanding of financial markets, trade lifecycle, order types, and trading platforms</li><li>Strong Excel skills and proficiency in data analysis and reporting</li><li>Strong attention to detail, analytical thinking, and problem-solving abilities</li><li>Excellent communication skills and ability to work collaboratively across teams</li><li>Comfortable working within a rotating shift environment, including some nights/weekends as required<br><br></li></ul><strong>Desirable Skills<br><br></strong><ul><li>Experience with MetaTrader 5 (MT5) administration or support</li><li>Knowledge of MT5 Gateways, Group configurations, and liquidity provider connectivity</li><li>Understanding of FIX API connectivity and trade routing concepts</li><li>Exposure to trade monitoring, market surveillance, fraud detection, or risk management processes</li><li>Working knowledge of SQL and/or Python</li><li>Experience within an FX/CFD brokerage or multi-asset trading environment</li><li>Arabic language skills are an advantage<br><br><br></li></ul><strong>Benefits</strong>:<br><br>Competitive monthly salary based on experience, with the opportunity to grow within a regulated, multi-asset trading business in Dubai and progress toward more senior trading operations roles.

<strong>About Us<br><br></strong>Dyson's Test &amp; Quality Assurance ensures the products we sell represent the high Quality and Reliability of the Dyson brand, by using the world class techniques to implement automated methods of testing. This can involve simulating elements of the product to allow testing of all scenarios, to using image recognition or advanced technologies for automatic identification of elements displayed on the user interface. Quality is ensured and actively maintained during the Scaled Agile Framework development process by our QMS experts, and accepting customer correspondence to improve future products. Our labs allow unattended testing of partial to full products including moving robots, allowing the team to work remotely.<br><br><strong>About The Role<br><br></strong><ul><li>Lead and manage home (alpha) test initiatives to capture issues at product development early stage and assess product performance in real-world conditions.</li><li>Validate lab test outcomes against design quality to ensure seamless integration.</li><li>Analyse in-life product quality and other data streams to develop actionable insights.</li><li>Build and drive a leading quality dashboard that functions as an early indicator for both software and hardware quality (SWHWPS).</li><li>Develop robust product-level test specifications and perform detailed product level requirement analytics.</li><li>Ensure detailed and accurate test specifications are ready and aligned before Target Set milestones, supporting design and engineering teams from concept through production post launch.</li><li>Drive innovations in test methodologies, including the application of AI/ML and advanced data analytics to enhance detection reliability and test efficiency.</li><li>Act as a technical authority within the Test &amp; QA team, collaborating with Development, Operations, Quality and Design teams to integrate test processes seamlessly into the product development lifecycle.</li><li>Report projects test progress &amp; software quality status to senior stakeholders and ensure clear communication across teams.<br><br><br></li></ul><strong>About You<br><br></strong><ul><li>Minimally 7 years product quality or software test relevant experience.</li><li>Bachelor’s or Master’s degree in computer engineering / Electronic Engineering, or related fields.</li><li>Highly proficient in Python for data manipulation and statistical analysis. You have hands-on experience using libraries such as Pandas and NumPy for data processing, and Matplotlib, Seaborn, or Plotly for creating automated quality visualizations.</li><li>Skilled in building professional, automated dashboards using tools such as Tableau or Power BI. You can translate raw Python-processed data into intuitive visual interfaces for senior leadership tracking.</li><li>Proficient in SQL for querying complex datasets and experienced in working with modern cloud data platforms like AWS Redshift.</li><li>Possess a strong understanding of electronics hardware, its interfacing to software systems.</li><li>Knowledge of software in IOT products, such as embedded, app, cloud and ML.</li><li>Excellent written and verbal communication skills, capable of presenting complex technical information clearly to executives and non-technical leaders.</li><li>Strong ability to multi-task across multiple product deliverables and manage multiple schedules simultaneously.<br><br><br></li></ul><strong>Benefits<br><br></strong>Dyson monitors the market to ensure competitive salaries and bonuses. Beyond that, you’ll enjoy a transport allowance and comprehensive medical care and insurance. But financial benefits are just the start of a Dyson career. Professional growth, leadership development and new opportunities abound, driven by regular reviews and dynamic workshops. And with a vibrant culture, the latest devices and a relaxed dress code reflecting our engineering spirit, it’s an exciting team environment geared to fuelling and realising ambition.<br><br>Dyson is an equal opportunity employer. We know that great minds don’t think alike, and it takes all kinds of minds to make our technology so unique. We welcome applications from all backgrounds and employment decisions are made without regard to race, colour, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other any other dimension of diversity.

<strong>About Us<br><br></strong>Dyson's Test &amp; Quality Assurance ensures the products we sell represent the high Quality and Reliability of the Dyson brand, by using the world class techniques to implement automated methods of testing. This can involve simulating elements of the product to allow testing of all scenarios, to using image recognition or advanced technologies for automatic identification of elements displayed on the user interface. Quality is ensured and actively maintained during the Scaled Agile Framework development process by our QMS experts, and accepting customer correspondence to improve future products. Our labs allow unattended testing of partial to full products including moving robots, allowing the team to work remotely.<br><br><strong>About The Role<br><br></strong><ul><li>Lead and manage home (alpha) test initiatives to capture issues at product development early stage and assess product performance in real-world conditions.</li><li>Validate lab test outcomes against design quality to ensure seamless integration.</li><li>Analyse in-life product quality and other data streams to develop actionable insights.</li><li>Build and drive a leading quality dashboard that functions as an early indicator for both software and hardware quality (SWHWPS).</li><li>Develop robust product-level test specifications and perform detailed product level requirement analytics.</li><li>Ensure detailed and accurate test specifications are ready and aligned before Target Set milestones, supporting design and engineering teams from concept through production post launch.</li><li>Drive innovations in test methodologies, including the application of AI/ML and advanced data analytics to enhance detection reliability and test efficiency.</li><li>Act as a technical authority within the Test &amp; QA team, collaborating with Development, Operations, Quality and Design teams to integrate test processes seamlessly into the product development lifecycle.</li><li>Report projects test progress &amp; software quality status to senior stakeholders and ensure clear communication across teams.<br><br><br></li></ul><strong>About You<br><br></strong><ul><li>Minimally 7 years product quality or software test relevant experience.</li><li>Bachelor’s or Master’s degree in computer engineering / Electronic Engineering, or related fields.</li><li>Highly proficient in Python for data manipulation and statistical analysis. You have hands-on experience using libraries such as Pandas and NumPy for data processing, and Matplotlib, Seaborn, or Plotly for creating automated quality visualizations.</li><li>Skilled in building professional, automated dashboards using tools such as Tableau or Power BI. You can translate raw Python-processed data into intuitive visual interfaces for senior leadership tracking.</li><li>Proficient in SQL for querying complex datasets and experienced in working with modern cloud data platforms like AWS Redshift.</li><li>Possess a strong understanding of electronics hardware, its interfacing to software systems.</li><li>Knowledge of software in IOT products, such as embedded, app, cloud and ML.</li><li>Excellent written and verbal communication skills, capable of presenting complex technical information clearly to executives and non-technical leaders.</li><li>Strong ability to multi-task across multiple product deliverables and manage multiple schedules simultaneously.<br><br><br></li></ul><strong>Benefits<br><br></strong>Dyson monitors the market to ensure competitive salaries and bonuses. Beyond that, you’ll enjoy a transport allowance and comprehensive medical care and insurance. But financial benefits are just the start of a Dyson career. Professional growth, leadership development and new opportunities abound, driven by regular reviews and dynamic workshops. And with a vibrant culture, the latest devices and a relaxed dress code reflecting our engineering spirit, it’s an exciting team environment geared to fuelling and realising ambition.<br><br>Dyson is an equal opportunity employer. We know that great minds don’t think alike, and it takes all kinds of minds to make our technology so unique. We welcome applications from all backgrounds and employment decisions are made without regard to race, colour, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other any other dimension of diversity.

<strong>About Us<br><br></strong>At Dyson, we’re driven by a relentless pursuit of innovation—pushing boundaries in engineering, AI, and robotics. Our new Data Intelligence team sits at the heart of this mission: shaping Dyson’s future through data. Here, we blend creativity, precision, and audacity to power intelligent products. We craft data strategies and pipelines that fuel the next generation of connected devices.<br><br>You’ll work alongside brilliant minds from Dyson global engineering team and external software/hardware partners in an environment built for exploration, discovery, delivery and impact.<br><br><strong>About The Role<br><br></strong>As the Lead Data Intelligence Project Manager, you ensure that every project has the resources it needs to take off, you'll orchestrate data operations that power product development across Dyson’s global teams. Key responsibilities include:<br><br><ul><li>Act as the primary liaison between our external project teams and our internal technical departments (Data Curation and MLOps). You will own the "data logistics" for the entire project lifecycle—from initial storage setup to final delivery of high-quality training sets.</li><li>You will be the strategic lead for our labelling workforce, managing the balance between our in-house contractors and 3rd party service providers to ensure we never hit a capacity bottleneck.</li><li>Overseeing data storage setup and maintenance to guarantee security, accessibility, and compliance.</li><li>Maintaining rigorous documentation and workflows that ensure project transparency and repeatability.</li><li>Supporting cross-functional communication between data teams, contractors, and engineering partners.<br><br><br></li></ul><strong>About you<br><br></strong><ul><li>8+ years in Project or Program Management, with at least 2 years specifically in AI/ML Data Operations or Data Management. You’ve delivered complex projects on time and within scope—often in fast-changing settings.</li><li>Demonstrated success in managing 3rd party vendors or service providers, including contract negotiation, quality assurance, issue resolution, and ongoing relationship management.</li><li>Machine Learning Lifecycle Knowledge: Strong understanding of how data flows from collection → cleaning → labeling → training → deployment.</li><li>Tooling Familiarity: Experience with labeling platforms (Labelbox, CVAT, Label Studio) and project management tools (Jira, Asana, or Airtable).</li><li>Data Literacy: Basic understanding of data storage architectures (S3, SQL, Snowflake) and data privacy regulations (GDPR, CCPA).</li><li>Communication: Exceptional "translation" skills—the ability to explain technical MLOps constraints to business stakeholders and vice versa.</li><li>A solid understanding of modern data storage solutions (cloud, on-premises, hybrid), including principles of data security, privacy, access control, and regulatory compliance.</li><li>Able to translate complex technical requirements into clear actions for both technical and non-technical audiences. You’re adept at influencing and building consensus.</li><li>Confident interfacing with cross-functional teams—coordinating with data scientists, engineers, product managers, and external stakeholders to deliver smooth handovers and alignment.</li><li>Well-versed in project management tools and methodologies (e.g., Agile, Scrum, or Waterfall). Known for driving continuous improvement, clear documentation, and repeatable processes.</li><li>Thorough, highly organized, and relentless in troubleshooting issues and removing blockers before they impact delivery.</li><li>Proactive, accountable, and comfortable juggling competing priorities. You always keep end goals in focus and balance urgency with quality.</li><li>Bachelor’s degree in a relevant discipline (e.g., Computer Science, Data Engineering, Engineering, or Information Technology); higher degree or PMP/Prince2 certification is a plus.<br><br><br></li></ul>Dyson is an equal opportunity employer. We know that great minds don’t think alike, and it takes all kinds of minds to make our technology so unique. We welcome applications from all backgrounds and employment decisions are made without regard to race, colour, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other any other dimension of diversity.