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<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>We are looking for a Business / Data Analyst who is responsible for building a clear, end-to-end understanding of how Temenos T24 core banking data is currently consumed for reporting and analytics, and for translating that understanding into the business and data requirements that will drive the Temenos Insight data migration and modernization programme.<br> The analyst conducts discovery with business, finance, regulatory-reporting, and channel stakeholders to inventory every existing report, dashboard, extract, and use case, map each back to its underlying T24 data and transformation logic, and define the reporting-continuity requirements needed so that outputs from the new solution can be validated against the legacy platform.<br> The role establishes the prioritization and requirements baseline used by architects and the Senior Data Engineer to design and sequence the migration.<br> (Note: this role supports the Temenos Insight migration; the Azure Databricks data lake is a separate initiative.<br>) Key Roles &amp; Responsibilities Conduct discovery workshops with business and technical stakeholders to gather reporting and analytics requirements.<br> Identify and document all existing reporting, analytics, and regulatory reporting use cases.<br> Capture business users, data consumers, owners, and downstream system dependencies.<br> Document business objectives, reporting requirements, and success criteria.<br> Inventory operational reports, dashboards, regulatory reports, and analytical solutions.<br> Map reports and dashboards to T24/Temenos Insight source data, transformations, and business logic.<br> Analyze multi-value fields, business rules, and data consumption patterns.<br> Identify duplicate reports and recommend consolidation opportunities.<br> Gather detailed data, metrics, dimensions, and historical retention requirements.<br> Define reporting frequency, latency, SLA, and compliance requirements.<br> Document dependencies between business processes, reports, and data assets.<br> Assess current data quality, availability, performance, and reporting challenges.<br> Support migration planning, reporting continuity, reconciliation, and validation activities.<br> Recommend migration priorities for reports and data domains.<br> Capture future reporting and analytics requirements for modernization initiatives.<br> Maintain reporting inventories, use-case documentation, and governance artefacts.<br> Produce functional documentation for architecture, engineering, testing, and UAT teams.<br> Support User Acceptance Testing (UAT) by validating migrated reports against the legacy Temenos platform.<br> 3+ years of experience as a Business Analyst, Data Analyst, or Technical Business Analyst, ideally in banking or financial services.<br> Strong experience gathering and documenting business and data requirements and producing source-to-report mappings.<br> Hands-on exposure to SQL and BI / reporting tools (Power BI preferred).<br> Understanding of data warehousing, ETL, and analytics concepts.<br> Experience supporting data migration or reporting-modernization projects.<br> Exposure to core banking (Temenos T24) and / or central-bank regulatory reporting is highly desirable.<br></span> </div>

Role: Financial Investment Analyst (Remote) Location: Remote (Work from Anywhere) Job Type: Contract Payout: $154 - $210/hour<br>Role Overview:We are hiring for one of our clients, seeking a Financial Investment Analyst to work on a contract basis. This role involves analyzing financial data, evaluating investment opportunities, and supporting strategic financial decisions. The position requires expertise in investment principles and financial modeling.<br>Key Responsibilities:• Analyze financial statements and market trends to assess investment viability.• Prepare detailed reports on financial performance and investment recommendations.• Collaborate with cross-functional teams to align investment strategies with business objectives.• Monitor portfolio performance and provide insights on risk and return metrics.• Conduct due diligence on potential investment opportunities.<br>Required Skills & Qualifications:• Proficiency in financial modeling and valuation techniques is required.• Experience with investment analysis and portfolio management is required.• Strong analytical skills and attention to detail are required.• Knowledge of financial markets and economic indicators is required.• Ability to interpret complex financial data and present findings clearly is required.<br>More About the Opportunity:This role offers a unique opportunity to work with a global leader in the financial services industry, contributing to data-driven investment decisions. The contract position provides flexibility and exposure to high-impact financial projects.<br>Equal Opportunity Employer:We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications.<br>Apply Now!

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p><span><span><strong>Role: Associate Analyst- Model Risk Management&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;</strong></span></span></p><br><p><span><span><strong>Location: Abu Dhabi</strong></span></span></p><br><p><span><span><strong>This position is for fresh graduates UAE Nationals only.</strong></span></span></p><br><p><span><span><strong>Role purpose:</strong></span></span></p><br><ul><li><p><span><span>The role supports the Model Risk Management and AI Risk team in day-to-day activities covering model governance, AI risk governance, independent review support, model inventory administration, monitoring, issue tracking and management information.&nbsp;</span></span></p><br></li><li><p><span><span>The position is designed for a fresh graduate or early-career hire who will develop a sound foundation in model lifecycle risk and the responsible use of artificial intelligence in banking.</span></span></p><br></li><li><p><span><span>Under supervision and with structured training, the role holder will assist with evidence gathering, analytical review, documentation and coordination across stakeholders.&nbsp;</span></span></p><br></li><li><p><span><span>The role requires curiosity, attention to detail, sound quantitative aptitude, integrity and the ability to communicate clearly with technical and non-technical colleagues.</span></span></p><br></li></ul><p><span><span><strong>Key accountabilities / Responsibilities:</strong></span></span></p><br><ul><li><p><span><span>Provide proactive administrative, analytical and coordination support to the Model Risk Management and AI Risk team.</span></span></p><br></li><li><p><span><span>Assist in maintaining complete and accurate model and AI use-case inventory, including ownership, purpose, status, risk tier, validation, monitoring and approval information.</span></span></p><br></li><li><p><span><span>Support model identification, risk classification, initial screening and lifecycle governance activities using approved templates and procedures.</span></span></p><br></li><li><p><span><span>Assist with independent model and AI review activities by collecting documentation, checking data completeness, reproducing basic analyses and documenting observations under supervision.</span></span></p><br></li><li><p><span><span>Support basic quantitative testing using Excel and, as capability develops, Python, R or SAS for data quality, performance, stability, sensitivity, fairness and monitoring analyses.</span></span></p><br></li><li><p><span><span>Help review AI use cases for responsible AI considerations, including data quality, fairness, transparency, explainability, human oversight, privacy, security, robustness and appropriate use.</span></span></p><br></li><li><p><span><span>Support preparation of committee packs, dashboards, risk appetite reporting, regulatory assessments and management information for model and AI risk oversight.</span></span></p><br></li><li><p><span><span>Track validation plans, monitoring submissions, model or AI changes, conditions, findings and remediation actions, and follow up with stakeholders on agreed timelines.</span></span></p><br></li><li><p><span><span>Maintain clear working papers, evidence, version control and audit trails in line with approved policies, procedures and information-handling requirements.</span></span></p><br></li><li><p><span><span>Contribute to automation and process improvement opportunities that improve the quality, consistency and efficiency of governance, validation and reporting activities.</span></span></p><br></li><li><p><span><span>Participate in training and progressively build knowledge of banking models, AI and machine learning, model risk, responsible AI, statistics, regulation and ADIB governance processes.</span></span></p><br></li><li><p><span><span>Escalate incomplete information, control concerns, missed timelines or potential policy breaches&nbsp;</span></span></p><br></li></ul><p><span><span><strong>Specialist skills / technical knowledge required for this role:</strong></span></span></p><br><ul><li><p><span><span>Bachelor's degree in Statistics, Mathematics, Data Science, Computer Science, Artificial Intelligence, Quantitative Finance, Economics, Engineering, Actuarial Science or a related quantitative discipline.</span></span></p><br></li><li><p><span><span>Fresh graduate or up to two years of relevant internship or work experience. Banking experience is advantageous but not mandatory.</span></span></p><br></li><li><p><span><span>Foundation knowledge of statistics, data analysis, machine learning or model development concepts, with a strong willingness to learn risk governance and validation.</span></span></p><br></li><li><p><span><span>Good working knowledge of Microsoft Office, particularly Excel and PowerPoint. Exposure to Python, R, SAS, SQL, Power BI or similar analytical tools is advantageous.</span></span></p><br></li><li><p><span><span>Strong analytical, research, problem-solving and documentation skills, with careful attention to data quality and detail.</span></span></p><br></li><li><p><span><span>Clear written and verbal communication, professional judgement, teamwork, adaptability and commitment to continuous development.</span></span></p><br></li><li><p><span><span>Awareness of responsible AI, model risk, data privacy, information security or banking regulation is advantageous but not mandatory.</span></span></p><br></li></ul><br> </div>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><ul><li>Provide support in developing operational expenses (opex) budget plans and schedules in line with Group policies and procedures.</li><li>Execute budgetary plans in coordination with concerned departments to ensure smooth preparation of budgets.</li><li>Act as a liaison between entity/department heads and finance team for collating information required to develop annual budgets.</li><li>Support in monitoring budget implementation and subsequent recalibrations or forecasts required by management.</li><li>Assist in preparation of periodic and ad hoc Management Information Reports to provide timely and relevant information for decision making.</li><li>Develop and maintain appropriate KPI information reporting systems.</li><li>Investigate variances and prepare financial reviews recommending upward or business requirements.</li><li>Analyze monthly reporting related to operational performance, variances, and metrics to forecast budgetary exceptions during the operating year.</li><li>Contribute to developing budgetary, IS and project reporting policies, processes, procedures, forms and templates ensuring adequate controls and reporting structure.</li><li>Provide inputs to develop and enhance budgeting, planning, controlling and reporting tools to minimize variance and improve accuracy.</li><li>Maintain full control over budgeting models to ensure budgets are prepared, maintained and monitored accurately within software.</li><li>Identify and raise issues to technical team for resolution.</li><li>Review financial statements ensuring preparation is based on financial records and compliance with financial statement standards.</li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>Graduate in Accounting/Finance; CA/ACCA/CPA or similar preferred.</li><li>In-depth understanding of real estate business, accounting matters, and relevant regulatory matters.</li><li>Proficiency in Microsoft Office Suite, particularly Excel with complex data analysis and modeling capabilities.</li><li>Well versed in Management Information Systems (MIS), Oracle, and budgeting software.</li><li>Ability to manage complex general ledger accounts.</li><li>Proficient in financial reporting including balance sheets, income statements, and cash flow statements.</li><li>Strong numerical and analytical skills.</li><li>Attention to detail.</li><li>Ability to work in fast-paced environment with multiple deadlines.</li><li>Strong team orientation and exceptional work ethic.</li><li>Change management skills.</li><li>Excellent communication and presentation skills in English.</li></ul><p></p></section>

Role: Data Analyst - Finance (Remote) Location: Remote (Work from Anywhere) Job Type: Contract Payout: $40 - $65/hour<br>Role Overview:We are hiring for one of our clients, seeking a Financial Data Analyst to work on a contract basis. This role involves analyzing financial data to support decision-making and reporting. The position requires expertise in financial modeling, data visualization, and regulatory compliance.<br>Key Responsibilities:• Collect, process, and analyze financial data from multiple sources to identify trends and anomalies.• Develop and maintain financial models to forecast revenue, expenses, and cash flow.• Prepare detailed reports and dashboards for stakeholders to support strategic planning.• Ensure data accuracy and compliance with accounting standards and regulatory requirements.• Collaborate with cross-functional teams to integrate financial insights into business operations.<br>Required Skills & Qualifications:• Proficiency in financial data analysis tools such as Excel, SQL, or Python.• Experience with financial modeling and forecasting techniques.• Strong understanding of accounting principles and financial reporting standards.• Ability to create visualizations using tools like Tableau or Power BI.• Familiarity with data cleaning and validation processes.<br>More About the Opportunity:This role offers a unique opportunity to work with a global leader in the financial services industry, contributing to accurate financial reporting and strategic decision-making.<br>Equal Opportunity Employer:We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications.<br>Apply Now!

NOT LOOKING FOR SECURITY ENGINEERS / SECURITY ANALYSTSSnr Business Analyst with Cyber security / Information Security project experience<br>MUST HAVE at least 3-5 years hands-on experience on cybersecurity-focused projects / Information Security (Infosec) / Cybersecurity / Sec Ops specifically <br>Salary: R25 000 - R35 000 per month12 Months Contract (Renewal - 3 year programme)<br>???? Minimum Requirements✔ 5+ years' experience as a Business Analyst within large-scale enterprise transformation programmes✔MUST HAVE at least 3-5 years hands-on experience on cybersecurity-focused projects / Information Security (Infosec) / Cybersecurity / Sec Ops specifically <br>If cybersecurity or any security related projects not mentioned in profile or CV - you will automatically be rejected (we need to see mentions of security in CV)<br>✔ Experience translating security, compliance, audit, risk, or governance requirements into business and technical solutions✔ Experience working within regulated, compliance-driven, or audit-focused environments✔ Ability to work across business, security, technology, and delivery teams<br>An industry-leading global organisation is seeking an experienced Security Business Analyst to play a pivotal role in a major enterprise transformation programme.<br>You'll operate at the intersection of Cybersecurity, Information Security, Business Transformation, Compliance, and Technology Delivery, helping ensure security is embedded into every stage of programme execution.<br>What You'll Be Doing Security & Transformation Delivery Lead the Business Analysis approach across critical security workstreams Translate security policies, risks, and compliance requirements into practical business solutions Define and document security requirements, processes, controls, and operating procedures Ensure traceability from business requirements through to technical implementation Business Process Design Design end-to-end business processes that embed security by design Create process maps, data flows, RACI models, governance frameworks, and operational procedures Identify gaps, risks, dependencies, and opportunities for improvement Stakeholder Management & Workshops Facilitate workshops with senior business and technical stakeholders Drive alignment across Security, Technology, Compliance, PMO, and Delivery teams Act as the bridge between business objectives and security requirements Governance, Risk & Compliance Support audit readiness and compliance initiatives Contribute to risk reduction and security governance programmes Help define success measures, benefits realisation, and programme reporting

CAR Retail Planning (CAR Merchandise Planning, Assortment Planning and Replenishment Planning): Position - Senior Retail Planning Analyst... Location - Dubai Position Overview Senior Retail Planning Analyst - Merchandise Planning, Assortment & Replenishment Department Reports to Planning Manager with dotted line to Category Management Key Responsibilities Merchandise Planning:Develop strategic merchandise plans aligned with financial targets and market trends and seasons Manage open-to-buy (OTB) planning at merchandise category level using SAP Planning for Retail Execute forecast-based requirements planning and monitor consumption patterns Analyse sales performance, margin optimization, and GMROI across product categories Coordinate planning process flow and define key performance indicators for future seasons Assortment Planning:Optimize product mix and assortment modules for specific store locations and distribution centres Manage article-to-store assignments through listing processes and master data generation Execute assortment versioning and adapt assignment periods across multiple planning versions Coordinate follow-on article replacements and store-specific exclusions within assortment modules Collaborate with category management on space allocation and presentation stock requirements Replenishment Planning:Execute automated replenishment planning using SAP Replenishment Planning. Manage dynamic and static target stock determination with safety stock optimization Monitor demand influencing factors (DIFs) including promotions, seasonality, and local events Coordinate multi-echelon replenishment (MER) between stores and distribution centres Generate and process purchase requisitions, stock transport orders, and purchase orders Technical Skills:Proficiency in SAP Retail modules (MM, SD, LE) and SAP Customer Activity Repository (CAR) Experience with SAP Forecasting and Replenishment or SAP Replenishment Planning solutions Knowledge of MRP procedures, reorder point planning, and time-phased planning<br>At least two End-to-End Retail Implementation.<br>Nice to have but not mandatory: CAR POSDTA, Pricing and Promotion etc.

Role: Cyber Security Analyst (Remote) Location: Remote (Work from Anywhere) Job Type: Part-Time Payout: $20 - $80/hour<br>Role Overview:We are hiring for one of our clients, seeking a Cyber Security Analyst to work on a part-time basis. The role involves monitoring and analyzing security events to protect systems and data. Responsibilities include identifying vulnerabilities and responding to incidents.<br>Key Responsibilities:• Monitor and analyze security events from multiple sources including SIEM tools, firewalls, and IDS/IPS systems.• Investigate security incidents and determine their scope, impact, and root cause.• Implement and maintain security controls to mitigate risks and prevent future incidents.• Conduct vulnerability assessments and recommend remediation actions.• Prepare detailed incident reports, documenting findings, actions taken, and recommendations.<br>Required Skills & Qualifications:• Experience with SIEM tools such as Splunk, QRadar, or similar platforms.• Knowledge of network security protocols, firewalls, and intrusion detection/prevention systems.• Familiarity with vulnerability assessment tools like Nessus, Open VAS, or Qualys.• Understanding of common security frameworks such as NIST, ISO 27001, or CIS Controls.• Ability to analyze logs and network traffic to detect anomalies and potential threats.• Experience with incident response procedures and best practices.• Strong problem-solving skills with attention to detail.• Ability to work independently and manage time effectively in a remote environment.<br>More About the Opportunity:This role offers a unique opportunity to work with a global leader in the Technology, Information and Internet industry, contributing to the protection of critical infrastructure and sensitive data. The position supports a distributed team across multiple time zones.<br>Equal Opportunity Employer:We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications.<br>Apply Now!

Role: Business Data Analyst (Remote) Location: Remote (Work from Anywhere) Job Type: Contract Payout: $50 - $60/hour<br>Role Overview:We are hiring for one of our clients, seeking a Data Analyst to work on a contract basis to extract, transform, and load data, and perform statistical analysis to identify trends and insights. The role involves creating data visualizations and dashboards to support business decision-making. Responsibilities include collaborating with cross-functional teams to define data requirements and ensure data accuracy.<br>Key Responsibilities:• Extract, clean, and transform raw data from multiple sources for analysis.• Perform statistical analysis and modeling to identify trends, patterns, and insights.• Develop and maintain interactive dashboards and reports using BI tools.• Validate data integrity and ensure consistency across datasets.• Present findings and recommendations to stakeholders in clear, actionable formats.<br>Required Skills & Qualifications:• Proficiency in SQL for querying and manipulating large datasets.• Experience with Python or R for data analysis and automation.• Hands-on experience with data visualization tools such as Tableau or Power BI.• Strong understanding of statistical methods and data modeling techniques.• Ability to work with unstructured data and large-scale datasets efficiently.<br>More About the Opportunity:This role offers a unique opportunity to work with a global leader in the Data Infrastructure and Analytics industry, contributing to data-driven decision-making and operational efficiency. The position supports key business initiatives through accurate and timely data insights.<br>Equal Opportunity Employer:We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications.<br>Apply Now!

Role: Quantitative Analyst (Remote) Location: Remote (Work from Anywhere) Job Type: Contract Payout: $60 - $120/hour<br>Role Overview:We are hiring for one of our clients, seeking a Statistician to work on a contract basis. The role involves analyzing complex data sets to derive meaningful insights and support decision-making processes. The position requires expertise in statistical modeling and the ability to interpret results for non-technical stakeholders.<br>Key Responsibilities:• Design and implement statistical models to analyze data trends and patterns.• Develop and validate hypotheses using statistical methods and tools.• Collaborate with cross-functional teams to define data collection requirements.• Prepare reports and visualizations to communicate findings to stakeholders.• Ensure compliance with data privacy and security protocols.<br>Required Skills & Qualifications:• Proficiency in statistical software such as R, Python, or SAS.• Strong background in statistical analysis and experimental design.• Experience with data visualization tools like Tableau or Power BI.• Knowledge of SQL for data extraction and manipulation.• Ability to translate complex statistical concepts into actionable insights.<br>More About the Opportunity:This role offers a unique opportunity to work with a global leader in the Data Infrastructure and Analytics industry, contributing to the development of data-driven solutions. The contract duration is flexible, with potential for extension based on project needs.<br>Equal Opportunity Employer:We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications.<br>Apply Now!

Role: Quantitative Analyst (Remote) Location: Remote (Work from Anywhere) Job Type: Contract Payout: $60 - $120/hour<br>Role Overview:We are hiring for one of our clients, seeking a Statistician to work on a contract basis. The role involves analyzing complex data sets to derive meaningful insights and support decision-making processes. The position requires expertise in statistical modeling and the ability to interpret results for non-technical stakeholders.<br>Key Responsibilities:• Design and implement statistical models to analyze data trends and patterns.• Develop and validate hypotheses using statistical methods and tools.• Collaborate with cross-functional teams to define data collection requirements.• Prepare reports and visualizations to communicate findings to stakeholders.• Ensure compliance with data privacy and security protocols.<br>Required Skills & Qualifications:• Proficiency in statistical software such as R, Python, or SAS.• Strong background in statistical analysis and experimental design.• Experience with data visualization tools like Tableau or Power BI.• Knowledge of SQL for data extraction and manipulation.• Ability to translate complex statistical concepts into actionable insights.<br>More About the Opportunity:This role offers a unique opportunity to work with a global leader in the Data Infrastructure and Analytics industry, contributing to the development of data-driven solutions. The contract duration is flexible, with potential for extension based on project needs.<br>Equal Opportunity Employer:We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications.<br>Apply Now!

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>???? ???? ?? ??? ??? ?? ??? ???????'? ??????? ?????? ?????: ?? ??????? - ?? ??????? (?? ??? ??-?? ???) Experience: 5+ yrs Location: United Arab Emirates Job Type: Full-time We are seeking an experienced and analytical Corporate Credit Analyst with a strong background in Corporate Banking , Credit Risk , and AI-enabled credit assessment .<br> This role is ideal for professionals who understand corporate credit evaluation and can bridge the gap between business requirements and technology by supporting the development and adoption of AI-driven credit solutions.<br> As a Corporate Credit Analyst, you will collaborate with business, risk, and technology teams to translate corporate credit processes into scalable AI-powered solutions that enhance credit decision-making, risk management, and operational efficiency.<br> You will play a key role in defining business requirements, validating AI use cases, supporting implementation, and ensuring compliance with regulatory and governance standards while driving continuous improvement across credit operations.<br> Key Responsibilities Collaborate with business, risk, and technology teams to align AI-driven credit solutions with corporate banking processes and business objectives.<br> Translate corporate credit use cases into clear functional, business, and data requirements for technical implementation.<br> Define, prioritize, and manage business requirements to support the successful delivery of AI-enabled credit solutions.<br> Partner with Credit, Risk, Finance, and business stakeholders to validate AI use cases, model outputs, and business impact.<br> Support AI solution implementation through user acceptance testing (UAT), process integration, and change management activities.<br> Ensure AI initiatives comply with internal risk frameworks, regulatory guidelines, model governance, and ICAAP requirements.<br> Identify opportunities to improve corporate credit assessment, underwriting, and risk management using AI and advanced analytics.<br> Monitor solution performance, gather stakeholder feedback, and recommend enhancements to improve credit processes and operational efficiency.<br> Collaborate with cross-functional teams to ensure seamless communication between business users and technology teams.<br> Prepare documentation, business process maps, and reports to support solution delivery and continuous improvement initiatives.<br> What Makes You a Great Fit 5+ years of experience in Corporate Banking , Corporate Credit Analysis , or Credit Risk Management .<br> Strong understanding of corporate lending, financial statement analysis, credit underwriting, and risk assessment methodologies.<br> Knowledge of how AI and Machine Learning can enhance credit decision-making and risk management processes.<br> Experience translating business requirements into functional specifications for technology or analytics teams.<br> Familiarity with regulatory frameworks, model governance, ICAAP, and enterprise risk management practices.<br> Strong analytical, problem-solving, and business process improvement skills.<br> Excellent stakeholder management, communication, and cross-functional collaboration abilities.<br> Experience supporting AI adoption, UAT, process integration, or digital transformation initiatives is highly desirable.<br> Ability to balance business priorities with technical solution requirements in a fast-paced environment.<br> Self-driven, detail-oriented, and committed to delivering innovative, data-driven solutions that improve credit evaluation and business outcomes.<br></span> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>We are seeking an experienced Business Analyst to bridge the gap between business stakeholders and technical teams in the implementation of a Telecom Data Lakehouse/Data Warehouse.<br> The Business Analyst will gather business requirements, analyze telecom processes and data, define business rules, and translate business needs into detailed functional specifications, ensuring successful delivery of data products, reports, and analytics solutions.<br> Key Responsibilities Gather and analyze business requirements from stakeholders across telecom domains such as Customer, Billing, CRM, Network, Revenue Assurance, Finance, Sales, Marketing, and Digital Channels.<br> Conduct workshops and interviews with business users to understand reporting, analytical, and operational requirements.<br> Document business processes, functional requirements, and business rules.<br> Capture business requirements into functional specifications for Data Engineers, Data Modelers, ETL Developers, and BI Developers.<br> Define source-to-target mapping requirements and validate data transformations.<br> Collaborate with Solution Architects and Data Modelers to ensure business requirements are accurately reflected in the Data Lakehouse/Data Warehouse design.<br> Identify data sources, business definitions, KPIs, dimensions, and measures required for reporting and analytics.<br> Support the definition of data quality rules, validation criteria, and reconciliation requirements.<br> Review ETL mapping documents and ensure business logic is correctly implemented.<br> Work closely with Data Engineers during development to clarify business rules and resolve functional issues.<br> Participate in User Acceptance Testing (UAT) by preparing test scenarios, validating results, and obtaining business sign-off.<br> Maintain business glossaries, metadata, and documentation.<br> Facilitate communication between business stakeholders and technical teams throughout the project lifecycle.<br> Support Agile ceremonies including backlog refinement, sprint planning, and requirement prioritization.<br> Strong business analysis and requirement elicitation skills.<br> Excellent stakeholder management and communication skills.<br> Experience documenting business requirements and functional specifications.<br> Strong analytical and problem-solving skills.<br> Understanding of relational databases and SQL.<br> Basic knowledge of data warehousing concepts such as: Facts and Dimensions Star Schema Snowflake Schema Slowly Changing Dimensions (SCD) Data Lineage Metadata Management Data Quality Experience working in Agile/Scrum environments.<br> Preferred Technical Knowledge SQL Data Warehouse / Data Lakehouse architecture ETL concepts and data integration Data Mapping documentation Data Quality frameworks BI and Reporting platforms Knowledge of Hadoop ecosystem, Hive, Impala, Spark, or cloud data platforms is an advantage.<br> Deliverables Business Requirement Documents (BRD) Functional Requirement Specifications (FRS) KPI Definitions Data Dictionary Business Glossary Data Validation and UAT Test Cases Qualifications Bachelor's degree in Information Technology, Computer Science, Business Information Systems, Engineering, or a related field.<br> 2–4 years of experience as a Business Analyst in Data Warehouse, Data Lakehouse, or Business Intelligence projects.<br> Experience in the telecommunications industry is highly preferred.<br></span> </div>

Company Description This opportunity is advertised on behalf of a partner company. All applications, interviews, and subsequent hiring steps will be managed directly by the partner organization. Our partner is seeking a Junior Data Analyst / Data Scientist to join their remote team and contribute to data-driven projects across Financial Services, Retail, E-commerce, Logistics, Business Intelligence, Artificial Intelligence (AI), and Machine Learning (ML). This role is well suited to an early-career data professional who is curious about how data can be used to solve business problems, uncover trends, and support better decision-making. The successful candidate will have the opportunity to work on a variety of analytics and data science projects, ranging from business reporting and data visualization to predictive modeling and machine learning.<br>Key Responsibilities Collect, clean, transform, and analyze data from different internal and external sources Use Python, SQL, and statistical techniques to investigate business and operational questions Conduct Exploratory Data Analysis (EDA) to uncover trends, relationships, anomalies, and opportunities Build and maintain reports, dashboards, KPIs, and Business Intelligence (BI) solutions Perform descriptive and statistical analyses to support business and strategic decisions Assist in developing and evaluating Machine Learning (ML) and predictive models Contribute to customer, product, commercial, marketing, and operational analytics projects Analyze areas such as customer behavior, transactions, sales performance, product usage, and operational efficiency Support forecasting, customer segmentation, classification, and other predictive analytics initiatives Assist with A/B testing, experimentation, and hypothesis-driven analysis Develop clear and meaningful data visualizations to communicate analytical findings Present insights and recommendations to both technical and non-technical stakeholders Contribute to AI, automation, and other data-driven initiatives Help identify opportunities to improve data quality, reporting processes, and analytical workflows Work collaboratively with teams across Product, Engineering, Finance, Marketing, Operations, and Business Translate business requirements and questions into structured analytical approaches<br>Requirements Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, Economics, Engineering, Business Analytics, Information Systems, or another quantitative discipline Solid foundational knowledge of Python and SQLGood understanding of statistics, probability, and fundamental data analysis concepts Hands-on experience working with datasets and conducting Exploratory Data Analysis (EDA) Familiarity with Python data and Machine Learning libraries such as pandas, Num Py, and scikit-learn Experience with or understanding of dashboarding and reporting tools such as Power BI, Tableau, Looker, or similar platforms Strong analytical thinking and problem-solving abilities Ability to interpret data and communicate insights in a clear and structured manner Strong written and spoken English Comfortable working both independently and as part of a distributed, remote team<br>Preferred Qualifications Internship, academic, bootcamp, freelance, or personal project experience in Data Analytics, Data Science, Business Intelligence, or Machine Learning Exposure to data-driven industries such as Financial Services, Fin Tech, Retail, E-commerce, Logistics, or Technology Familiarity with Git and Git Hub Experience working with Jupyter Notebook Basic exposure to cloud environments such as AWS, Microsoft Azure, or Google Cloud Platform (GCP) Familiarity with modern data warehouses and platforms including Big Query, Snowflake, Redshift, or Databricks Experience using Excel or BI and visualization tools such as Power BI, Tableau, or Looker Exposure to predictive modeling, Machine Learning, or statistical modeling techniques Familiarity with Generative AI, Large Language Models (LLMs), or AI-based applications Portfolio demonstrating practical data work, such as Git Hub repositories, Kaggle notebooks, university assignments, bootcamp projects, or personal Data Analytics / Data Science projects

Role: Machine Learning Analyst (Remote) Location: Remote Job Type: Part-Time Payout: Competitive, based on experience<br>Role Overview:We are hiring for one of our clients, seeking a MLE Bench – Data Analyst to work on a part-time basis. This role involves hands-on analytical work with production-like datasets, metrics, and ML outputs to help evaluate, diagnose, and improve the performance of advanced AI systems. The ideal candidate is comfortable working at the intersection of data analysis and machine learning, with strong analytical rigor and the ability to work with real datasets and ML evaluation workflows.<br>Key Responsibilities:• Analyze structured and unstructured datasets generated from ML training, inference, and evaluation pipelines.• Define, compute, and validate metrics used to evaluate model performance and behavior.• Investigate data distributions, model outputs, failure modes, and edge cases relevant to benchmark tasks.• Write and run Python and SQL code to analyze data, create reports, and support evaluation workflows.• Validate data quality, consistency, and correctness across datasets and experiments.<br>Required Skills & Qualifications:• Minimum 3+ years of experience as a data analyst or analytics-focused engineer.• Strong proficiency in Python for data analysis.• Solid experience with SQL and relational datasets.• Experience analyzing ML outputs and evaluation metrics.• Strong understanding of statistics and analytical reasoning.<br>More About the Opportunity:This role offers a unique opportunity to work with a global leader in the Software Development | Technology, Information and Internet | Data Infrastructure and Analytics industry, contributing to benchmark-driven evaluation projects focused on real-world machine learning systems. The position involves collaboration with ML engineers and researchers to design challenging evaluation scenarios.<br>Equal Opportunity Employer:We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications.<br>Apply Now!

Role: Finance Business Analyst (Remote) Location: Remote (Work from Anywhere) Job Type: Full-Time Payout: Competitive, based on experience<br>Role Overview:We are hiring for one of our clients, seeking a Business Analyst (Finance) to work on a full-time basis. Finance experts with strong domain knowledge and analytical skills will collaborate with researchers to improve the performance of AI models. This role allows professionals to apply finance expertise across corporate finance, investment banking, accounting, FP&A, private equity, and consulting without prior AI experience.<br>Key Responsibilities:• Evaluate AI model outputs for finance-related tasks and identify performance gaps• Develop structured rubrics and assessments for specialized areas such as deal analysis and M&A assessments• Collaborate with AI researchers and finance experts to design training methods and evaluation strategies• Create benchmarks for financial model performance in investment scenarios• Provide detailed feedback on model outputs to refine AI system accuracy<br>Required Skills & Qualifications:• 2+ years of experience in investment banking, private equity, venture capital, FP&A, accounting, or financial consulting• Strong understanding of financial concepts including corporate finance, investment analysis, asset management, and risk management• Excellent written and verbal communication in English• CFA (Level I/II/III) cleared, CA/CPA/MBA in Finance preferred• Experience with on-job training or relevant certifications considered equivalent<br>More About the Opportunity:This role offers a unique opportunity to work with a global leader in the Technology, Information and Internet industry, contributing to the advancement of AI systems through financial expertise. Candidates will gain exposure to advanced AI systems and insights into their training processes.<br>Equal Opportunity Employer:We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications.<br>Apply Now!

Role: Finance Business Analyst (Remote) Location: Remote (Work from Anywhere) Job Type: Full-Time Payout: Competitive, based on experience<br>Role Overview:We are hiring for one of our clients, seeking a Business Analyst (Finance) to work on a full-time basis. Finance experts with strong domain knowledge and analytical skills will collaborate with researchers to improve the performance of AI models. This role allows professionals to apply finance expertise across corporate finance, investment banking, accounting, FP&A, private equity, and consulting without prior AI experience.<br>Key Responsibilities:• Evaluate AI model outputs for finance-related tasks and identify performance gaps• Develop structured rubrics and assessments for specialized areas such as deal analysis and M&A assessments• Collaborate with AI researchers and finance experts to design training methods and evaluation strategies• Create benchmarks for financial model performance in investment scenarios• Provide detailed feedback on model outputs to refine AI system accuracy<br>Required Skills & Qualifications:• 2+ years of experience in investment banking, private equity, venture capital, FP&A, accounting, or financial consulting• Strong understanding of financial concepts including corporate finance, investment analysis, asset management, and risk management• Excellent written and verbal communication in English• CFA (Level I/II/III) cleared, CA/CPA/MBA in Finance preferred• Experience with on-job training or relevant certifications considered equivalent<br>More About the Opportunity:This role offers a unique opportunity to work with a global leader in the Technology, Information and Internet industry, contributing to the advancement of AI systems through financial expertise. Candidates will gain exposure to advanced AI systems and insights into their training processes.<br>Equal Opportunity Employer:We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications.<br>Apply Now!

<ul><li>Translate complex business needs into detailed technical specifications and user stories for development teams, ensuring clarity and feasibility.</li><li>Collaborate with stakeholders across business units and IT to define project scope, objectives, and deliverables, fostering alignment and managing expectations.</li><li>Conduct in-depth analysis of existing systems and processes to identify areas for improvement and propose innovative technical solutions.</li><li>Facilitate effective communication between business users and technical teams, bridging gaps and ensuring mutual understanding throughout the project lifecycle.</li></ul><p><strong>Desired Candidate Profile</strong></p><ul><li>Bachelor's degree in Computer Science, Information Technology, Business Administration, or a related field.</li><li>Minimum of 5 years of experience as a Technical Business Analyst or in a similar role within the technology sector.</li><li>Proven experience in agile and waterfall methodologies, with a strong understanding of software development lifecycles.</li><li>Proficiency in requirements gathering tools (e.g., JIRA, Confluence) and modeling techniques (e.g., UML, BPMN).</li></ul>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> Job Description<br><p>Nair Systems is currently looking for Test Analyst / QA Engineer our UAE operations with the following terms &amp; conditions.</p><br><p>Preferred Qualifications</p><br><p>• ISTQB Certification (preferred).</p><br><p>• Bachelor's Degree in Computer Science, Information Technology, Engineering, Finance, or a related field</p><br><p>Experience</p><br><p>• Minimum 5+ years of Software Testing / Quality Assurance experience.</p><br><p>• Banking or Financial Services experience is mandatory.</p><br><p>• Proven experience working directly with business stakeholders.</p><br><p>• Experience in Wealth Management, Treasury, or Cards domain is highly preferred.</p><br><p>Required Skills &amp; Competencies</p><br><p>• Domain Knowledge</p><br><p>• Strong understanding of Wealth Management, Treasury, and/or Cards business processes.</p><br><p>• Good understanding of banking operations and system integrations.</p><br><p>• Testing Skills</p><br><p>• Experience in Functional Testing, SIT, UAT, and Regression Testing.</p><br><p>• Ability to review requirements and identify test scenarios.</p><br><p>• Experience with defect management and test management tools .</p><br><p>• Technical Aptitude</p><br><p>• Good understanding of application architecture and system interfaces.</p><br><p>• Ability to understand data flows and integrations between systems.</p><br><p>• Exposure to API testing and database validation is an advantage.</p><br><p>• Stakeholder Management</p><br><p>• Strong communication and coordination skills.</p><br><p>• Ability to engage effectively with business stakeholders and technology teams.</p><br><p>• Experience facilitating requirement walkthroughs and supporting UAT activities.</p><br><p>Personal Attributes</p><br><p>• Strong analytical and problem-solving skills.</p><br><p>• Quick learner with good aptitude and ownership mindset.</p><br><p>• Attention to detail and commitment to quality.</p><br><p>• Ability to work independently and manage multiple priorities.</p><br><p>Terms and conditions</p><br><p>Joining time frame: Immediate</p><br><br><br> </div>

Job Description<br><br>If you enjoy building relationships and helping develop innovative solutions while working in a fast-paced environment, then we have the role for you. Our advisors help clients achieve their financial goals by delivering the right solutions and services across our industry leading investments, credit, banking and Trust & Estates practices. This individualized attention supports our clients' unique goals and helps build, preserve and manage their wealth over time.<br><br>As an Advisor Analyst Trainee in Global Private Bank, you will work with a team of bankers, investment specialists, wealth advisors, and lending specialists. The program begins with a five-week immersive global training program, in which you will join Incoming Analysts from around the world to learn more about the firm and how we do business, build technical and professional skills, hear from senior executives and build global networks. For the entirety of the Advisor Training Program, you'll have ongoing formal and informal training opportunities, as well as continued opportunities for development, engagement, and the opportunity to participate in program initiatives. You'll have what you need to succeed – from training and mentorship from senior executives to projects that engage all your skills. You'll be encouraged to network across the firm and discover all our opportunities as you consider your next career move. After the program, many full-time Analysts are promoted to Associates and build long-lasting careers with us.<br><br>Joining our Advisor Training Program means you will be joining a team committed to building client relationships and making meaningful contributions to our business with customized wealth management solutions. Throughout the program, you'll learn about our business and our clients while building your own expertise. Working here means joining a collaborative, supportive team. We want your diverse perspective to help us innovate the next wave of products and solutions for our clients.<br><br>Job Responsibilities<br><br>Work with our team of advisors and specialists to bring in new clients and to serve existing ones Deliver highly customized and comprehensive solutions to help protect, manage and grow wealth Understand our clients' unique needs and tailor your approach to exceed expectations requiring work across teams and the firm to provide first-class service<br><br>Required Qualifications, Capabilities, And Skills<br><br>Graduating August 2026 to July 2027 Highly driven person who enjoys working in teams to develop complex solutions Exceptional interpersonal, communication, logical thinking and problem-solving skills Excellent organizational skills and ability to multitask Genuine interest in financial markets and macro-level economic trends Desire to ultimately work with external clients in a relationship building and sales capacity Ability to thrive in a fast-paced, collaborative environment Highly inquisitive, focused and considerate Good judgment and discretion when working with confidential information<br><br>Preferred Qualifications<br><br>A second EU language is preferable but not essential.<br><br>Application Deadline <br><br>1 November, 2026<br><br>We will be filling our classes on a rolling basis. We strongly encourage you to submit your application as early as possible before job postings close.<br><br>Join Us<br><br>At JPMorgan Chase, we're creating positive change for the diverse communities we serve. We do this by championing your innovative ideas through a supportive culture that helps you every step of the way as you build your career. If you're passionate, curious and ready to make an impact, we're looking for you.<br><br>Our Private Banking Teams<br><br>For more than 200 years, we have been working with innovators, entrepreneurs, industry leaders and their families to help them achieve their unique ambitions, secure their legacies and make a difference in the world. That means providing meaningful, tailored advice now and across generations. The Private Bank helps clients plan, invest, borrow and bank to create the life and legacy they envision. Our advisors help clients achieve their financial goals by delivering the right solutions and services across our industry leading investments, credit, banking and Trust & Estates practices. This individualized attention supports our clients' unique goals and helps build, preserve and manage their wealth over time.<br><br>We located in more than 17 offices across 11 countries in the Europe, Middle East and North Africa (EMEA) region. Guided by industry leaders, our teams deliver best-in-class ideas and insights for our clients around the world. J. P. Morgan was named 2021's “Best Private Bank in the World” by Global Finance magazine and captured multiple EMEA awards by Euromoney, including “Best Private Banking Services Overall” in the United Kingdom, Italy, Egypt and Saudi Arabia” and “Best Private Banking Services for Mega High Net Worth Clients” in France, Italy, Israel, and the Middle East.<br><br>See the Asset & Wealth Management CEO Letter here.<br><br>What's next?<br><br>Help us learn about you by submitting a complete and thoughtful application, which includes your resume. Your application and resume is a way for us to initially get to know you, so it's important to complete all relevant application questions so we have as much information about you as possible.<br><br>To start the application, you will be prompted to enter your email address. Your email address will be used to create and maintain your profile so make sure it is one you will have long term access to. Do not use an email address with “.edu” extension as doing so could result in delays receiving updates regarding your candidacy. After you confirm your application, we will review it to figure out whether you meet certain required qualifications. If you are advanced to the next step of the process, you'll receive an email invitation to complete a video interview, powered by Hire Vue. This is your opportunity to further bring your resume to life and showcase your experience for our recruiting team and hiring managers. Hire Vue is required, and your application will not be considered for further review until you have completed it. We strongly encourage that you apply and complete the required elements as soon as possible, since programs will close as positions are filled.<br><br>JPMorgan Chase is committed to creating an inclusive work environment that respects all people for their unique skills, backgrounds and professional experiences. We strive to hire qualified, diverse candidates, and we will provide reasonable accommodations for known disabilities.<br><br>Visit jpmorganchase.com/careers for upcoming events, career advice, our locations and more.<br><br>About Us<br><br>J. P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives.<br><br>We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.