Luxoft jobs

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p>Project description The Murex FO support analyst will be required to be part of GM IT FO Squad responsible to provide IT services to Global Markets team. The squad is responsible for support, change request and projects pertaining to Global Markets. Key responsibilities of the role include providing level 1 / level 2 trading floor support to traders and control groups. Responsibilities Support traders, middle office users on daily issues including PL / position mismatches / market data, mkt operations, etc. Configure curves (rate, rate hedge, credit) and static data including securities, generators, indices, currencies, vol surface, portfolios, user groups, access rights etc., in Murex. Write new pre trade rules, create / amend lookup tables / simulation views / e-tradepad strategies / Live Book views. Work on Patch upgrades / version upgrades testing to reconcile any PL / Greeks issue &amp; avoid any regressions. Reporting on progress on issues / showstoppers to manager and other stakeholders Assist in developing business and operational processes and to participate in developing system training artefacts when required Skills Must have Minimum 7-10 years of experience as Murex Front office support Extensive experience in setting up and validating Interest rate curves including for ARRs. Expertise in multiple asset classes (at least 2 of the following) such as IR vanilla and exotic derivatives, Equity Derivatives, Commodity Derivatives, FX Derivatives, Structured Products Credit Derivatives, FIMM (Fixed Income, / Money Market). One of the two must be Exotics Expertise in terms of pricing, valuation, risk management and sensitivities including for exotic products. Strong exposure to FO Modules of Murex E-Tradepad, Simulation, Livebook, RTPM, Pre-Trade Workflow, Market Data, Dynamic Tables, P&amp;L Notepad, FDI Templates, Blotters, Risk Matrices etc. Experience in implementation and supporting Murex v3.1 with regards to front office capabilities Excellent knowledge of Capital Markets products and processes, front to back. Experience on implementation of both linear and non-linear products in Murex Strong analytical and problem-solving skills accompanied with excellent communication Nice to have The candidate should possess either a postgraduate degree or qualification in Information Systems / Engineering / Business Administration. The candidate should carry a minimum relevant work experience in a Bank or I.T. Company for a minimum of 5-7 years. Strong record of stakeholder management and leadership skills Strong understanding of the financial markets, trading, and banking solutions Strong knowledge of the Global Markets products and practices, front-to-end: pricing, limit checks, booking, risk management, accounting generation, settlements, and confirmation generation Candidate must be technically astute and have had relevant exposure and experience with bank systems and processes. Strong proven track record of liaising with stakeholders for business requirements, specification documents, testing processes and other relevant information. Strong numerical skills coupled with the ability to deliver well under pressure and tight deadlines. Candidate must display strong verbal and written communication skills. Other Languages English: C2 Proficient Seniority Senior</p><br> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p>Project description We are seeking a Palantir Foundry &amp; AIP Engineer with hands-on experience across the full Foundry ecosystem and Palantir’s Artificial Intelligence Platform (AIP). This role goes beyond data engineering: you will design, build, and operationalize AI-powered workflows, agents, and applications that drive tangible business outcomes. The ideal candidate is a self-starter, able to translate complex business needs into scalable technical solutions, and confident working directly with stakeholders to maximize the value of Foundry and AIP. Responsibilities · Data &amp; Workflow Engineering: Design, develop, and maintain scalable pipelines, transformations, and applications within Palantir Foundry. · AIP &amp; AI Enablement: Support the design and deployment of AIP use cases such as copilots, retrieval workflows, and decision-support agents. Ground agents and logic flows using RAG (retrieval‐augmented generation) by connecting to relevant data sources, embedding/vector search, ontology content. Use Ontology-Augmented Generation (OAG) when needed: operational decision making where logic, data, actions and relationships are embedded in the Ontology. Collaborate with senior engineers on agent design, instructions, and evaluation using AIP’s native features. · End-to-End Delivery: Work with stakeholders to capture requirements, design solutions, and deliver working applications. · User Engagement: Provide training and support for business teams adopting Foundry and AIP. · Governance &amp; Trust: Ensure solutions meet standards for data quality, governance, and responsible use of AI. · Continuous Improvement: Identify opportunities to expand AIP adoption and improve workflow automation. Skills Must have Minimum 10 Years of experience in IT/Data. Minimum 5 years of experience as a Data Platform Engineer/Data Engineer. · 2+ years of professional experience with the Palantir Foundry ecosystem (data integration, ontology, pipelines, applications). · Strong technical skills in Python, PySpark, SQL, and data modelling. · Practical experience using or supporting AIP features such as RAG workflows, copilots, or agent-based applications. · Ability to work independently and engage directly with non-technical business users. · Strong problem-solving mindset and ownership of delivery. Nice to have · Familiarity with AIP Agent Studio concepts (agents, instructions, tools, testing). · Exposure to AIP Evals and evaluation/test-driven approaches. · Experience with integration patterns (APIs, MCP, cloud services). · Consulting or applied AI/ML background. · Experience in Abu Dhabi or the broader MENA region. Other Languages English: C1 Advanced Seniority Senior</p><br> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p>Project description We are initiating a new project to upgrade our clients Existing Treasury Management System- FMC (Finmechanics Converge) Looking for consultants, who could help us in Business/Technical analysis, primarily for Front Office Responsibilities Analyse requirements and assess feasibility of upgradation Required to assist with the design, development &amp; implementation of external customer-facing solutions Able to communicate with different stakeholders, internal, client and change teams to share information Strong analytical and problem-solving skills accompanied with excellent communication Ensure documentation and deliverables are consistent with defined standards Skills Must have Minimum 8-10 years of experience Working knowledge of Trading systems in a financial institution, preferably FMC Knowledge in Treasury products (Derivatives &amp; Foreign Exchange) Integration with Exchanges FIX Protocol International Market integration Market Data Integration Settlement and Reconciliation Limit Management Position and Cash management Must have Knowledge of MM, FI, FX, IRD Margin and Futures Workflow Integration with core banking and other subsystems Excellent communication skills Nice to have NA Other Languages English: A1 Beginner Seniority Regular</p><br> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p>Project description The Senior Engineer - Data Governance &amp; Platform Lead (IB&amp;M) is a hands-on senior technical role responsible for defining, implementing, and governing the IB&amp;M Data Platform with a strong focus on data governance, quality, lineage, security, and platform standards. The role will work closely with Global Markets, Investment Banking, Risk, Compliance, and Analytics teams to ensure data is trusted, compliant, and scalable across the enterprise. This is not a people management role but requires strong technical leadership and ownership across the data lifecycle. Responsibilities Data Governance &amp; Control Define and implement data governance frameworks covering: Data ownership, stewardship, and accountability Data quality rules, controls, and monitoring Metadata management, data cataloging, and lineage Ensure compliance with regulatory, risk, and internal governance requirements across IB&amp;M data assets Partner with Risk, Compliance, and Audit teams to support regulatory use cases and thematic reviews Data Platform Leadership Lead the design and evolution of the IB&amp;M Data Platform, aligned with enterprise standards Drive governance capabilities across the Lakehouse architecture (ADLS, Databricks, Delta Lake) Define platform standards for: Data ingestion (batch / micro-batch / streaming) Schema enforcement and validation Data modeling and standardization Secure data access and entitlements Architecture &amp; Engineering Act as a technical authority for data architecture decisions within IB&amp;M Review and guide solution designs produced by internal teams and vendors Ensure scalability, performance, reliability, and cost efficiency of the platform Support hybrid architectures (Cloud + On Prem) where required by business or regulatory constraints Enablement &amp; Collaboration Work closely with Data Engineering, Analytics, BI, AI/ML, and Business teams Enable self service analytics while maintaining strong governance controls Provide technical guidance, best practices, and design reviews across IB&amp;M initiatives Support onboarding of new use cases onto the GM / IB&amp;M Data Platform Skills Must have 10+ years of experience in Data Engineering, Data Platforms, or Data Architecture Proven experience leading data governance initiatives in large, regulated environments (Banking / Financial Services preferred) Strong background supporting Global Markets / Investment Banking data domains is highly desirable Technical Skills Strong hands-on experience with: Azure Data Lake (ADLS) Databricks / Delta Lake / Lakehouse architectures Data quality, schema enforcement, and validation frameworks Experience with data cataloging and governance tools (e.g., Unity Catalog, Informatica Axon or similar) Solid understanding of: Data modeling (analytical and canonical models) Metadata management and lineage Secure data access and entitlements Good understanding of AI/ML and analytics enablement within governed data platforms Soft Skills Strong ownership mindset with ability to work independently Excellent stakeholder management and communication skills Ability to translate regulatory and business requirements into technical solutions Comfortable working in complex, multi vendor, enterprise environments Nice to have na Other Languages English: A1 Beginner Seniority Lead</p><br> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p>Project description A senior architect responsible for end-to-end architecture of all IBM Technology projects — spanning vendor-based, in-house, business-led, and data/AI initiatives. The role owns architecture design, secures approval at the Architecture Review Board (ARB), and leads Technology Risk Assessments (TRA), constructively challenging Group Security Office (GSO) and central Enterprise Architecture to defend pragmatic and value-driven solutions. Acts as the trusted bridge between business stakeholders, vendors, central control functions, and engineering teams. Responsibilities Architecture Leadership Define and own end-to-end target architectures for IBM projects (vendor, in-house, hybrid, data/AI) Translate business intent into clear, executable architecture decisions and roadmaps ARB &amp; Governance Prepare and present architecture artefacts at ARB; secure formal approval Maintain alignment with central Enterprise Architecture (EA) standards and IBM target state TRA &amp; Risk Management Lead Technology Risk Assessments (TRA) end-to-end for SaaS, cloud, and on-prem solutions Constructively challenge GSO and central control functions; defend pragmatic risk positions with evidence Vendor Evaluation &amp; In-House Design Run vendor RFPs, technical due diligence, fit-gap analyses, and PoCs Define in-house solution designs when vendor options do not fit; balance build-vs-buy decisions Stakeholder Engagement Engage senior business and technology stakeholders (CIO, business heads, product owners, vendors) Translate technical complexity into clear, business-friendly narratives Cross-Domain Coverage Cover business-led, technical, and data/AI initiatives across Global Markets, GCF, Asset Management, and Custody Stay current on industry trends: cloud, AI/GenAI, data platforms, capital markets technology Expected Deliverables Target architecture documents and Solution Design Documents (SDDs) ARB submission packs and approved architecture decisions Completed TRA dossiers and GSO / control function alignment evidence Vendor evaluation reports, fit-gap analyses, build-vs-buy recommendations Architecture Decision Records (ADRs) and roadmap artefacts Stakeholder briefings and business-facing architecture summaries Skills Must have Education Bachelor's or Master's degree in Computer Science, Engineering, or related field. Functional &amp; Domain: 10+ years as solution / enterprise architect in CIB, Capital Markets, or Investment Banking Strong understanding of trade lifecycle, post-trade, custody, asset management, and corporate finance Experience with major vendor platforms (Murex, SimCorp, Calypso, BlackRock Aladdin, Acadia, Traiana, or equivalent) Familiarity with regulatory and outsourcing frameworks (GSO, GORM, ADGM, MiFID, EMIR) Technical Skills: Solid grasp of modern architecture patterns: microservices, event-driven, API-led, hexagonal, DDD Cloud architecture: AWS (primary) and Azure — landing zones, security, IaC (Terraform), cost-aware design Integration patterns: APIs (REST/gRPC), messaging (Kafka, IBM MQ, Service Bus), ETL / streaming Data &amp; AI awareness: data platforms, data mesh, ML/GenAI use cases, data governance basics Software engineering literacy: CI/CD, DevSecOps, SOLID, Twelve-Factor — knows the craft even if not coding daily Soft Skills: Executive presence: comfortable presenting to CIO, business heads, ARB, and senior vendors Influence without authority: drives decisions across teams, business, vendors, and control functions Constructive challenger: capable of pushing back on GSO / EA with evidence — never combative, always solution-oriented Active listener and translator: turns business needs into architecture, and architecture into business value Strong written and verbal communication in English; clear, concise, and structured Pragmatic decision-maker: balances ideal architecture with delivery realities and time / cost constraints Self-starter: takes ownership end-to-end, comfortable with ambiguity and senior stakeholder pressure Collaborative team player: knows when to lead, when to listen, when to escalate Nice to have TOGAF / industry certifications welcomed but not a substitute for demonstrated architecture leadership in CIB. Other Languages English: A1 Beginner Seniority Lead</p><br> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p>Project description A hands-on technical architect / engineering lead embedded with feature teams across IBM Technology. The role codes, builds solutions from scratch, and enforces software engineering best practices (DDD, TDD, SOLID, Hexagonal Architecture, Twelve-Factor App) while delivering reusable building blocks. The Technical Architect also animates a developer community of practice to elevate engineering maturity across all squads. Responsibilities Hands-On Engineering Code alongside squads: DDD (Bounded Contexts, Aggregates, Domain Events), Hexagonal Architecture, SOLID, TDD Ensure Twelve-Factor App compliance for all cloud-native services Software Factory &amp; CI/CD Define and enforce CI/CD pipelines, code review standards, trunk-based branching, static analysis (SonarQube), and API standards Establish observability patterns: structured logging, distributed tracing, correlation IDs Cloud Adoption Drive cloud-native design patterns across squads: microservices, serverless, event-driven, container orchestration on AWS (primary) and Azure Enforce infrastructure-as-code (Terraform), cloud security best practices (IAM, secrets management, network segmentation), and cost-aware architecture Reusable Building Blocks Design and code shared libraries, starter kits, and project archetypes embedding all best practices Feature Team Enablement Pair-program, conduct code reviews, run workshops on DDD / TDD / SOLID / Hexagonal / Twelve-Factor Mentor developers to elevate overall engineering maturity Developer Community Animate Community of Practice: tech talks, coding dojos, hackathons Maintain an engineering playbook with patterns, anti-patterns, and reference implementations Expected Deliverables Engineering Playbook (DDD, TDD, SOLID, Hexagonal, Twelve-Factor, CI/CD, API standards) Reusable building blocks, starter kits, and project archetypes CI/CD pipeline templates for all service types Architecture Decision Records (ADRs) Monthly code quality and CoP activity reports Technical debt register Skills Must have Technical Skills: 10+ years hands-on software development, building solutions from scratch Expert in Java (Spring Boot), C# (.NET Core), Python, or Kotlin Deep DDD, TDD/BDD, SOLID, Hexagonal / Clean Architecture, Twelve-Factor App CI/CD tooling (Git, GitLab CI/CD); Docker, Kubernetes; Terraform / IaC Cloud: AWS (EKS, MSK, Lambda, S3, RDS, IAM, CloudFormation, API Gateway, SQS/SNS); Azure (AKS, DevOps, Service Bus, Key Vault). Event-driven architectures (Kafka, SQS/Service Bus/IBM MQ); API design (REST, gRPC, OpenAPI) Security-by-design, observability, and code quality tooling (SonarQube, SAST/DAST) Soft Skills: Influences through craft, not authority; proven mentor and community builder Pragmatic: balances engineering excellence with delivery pressure Strong technical writing: ADR</p></div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p>Project description We are seeking an RPA Developer for our client to join a multidisciplinary team that includes frontend and backend developers, data engineers, data scientists, QA engineers, cloud engineers, and project managers. The ideal candidate is a strong problem solver who can work independently in a fast-paced, evolving environment. Experience with Power Automate Desktop and the broader Power Platform is highly desirable, along with familiarity with Blue Prism. A working knowledge of Python and SQL is required—while deep expertise is not necessary, these technologies should be well understood and not new to the candidate. Responsibilities Design, develop, and deploy RPA solutions using Power Automate and Blue Prism Implement and configure RPA software robots to execute tasks and streamline processes Collaborate with cross-functional teams to integrate RPA solutions with existing systems and applications. Troubleshoot and resolve issues related to RPA processes and bots in a timely manner. Conduct unit testing and validation of RPA solutions to ensure accuracy and reliability. Stay updated on the latest RPA trends, tools, and best practices. Skills Must have Core must-have for this position (tech stack): Power Automate: Cloud flows and desktop flows. 2y+ experience with Power Automate Desktop. Ability to build complex workflow orchestration, integrate with APIs, databases, and enterprise systems, and handle long-running or stateful processes. Microsoft Power Platform: End-to-end understanding of the broader ecosystem. Blue Prism: Proven experience, particularly in the context of migration or transition initiatives. Programming background: Optional, but beneficial; examples include C#, Python, or similar languages. Main for RPA &amp; Automation Expertise: Familiarity with RPA concepts and tools (advantage if Blue Prism) -&gt; Strong understanding of the automation lifecycle, from design and build through deployment and support. Experience with exception handling and resiliency patterns. Ability to create reusable components and apply modular design principles. Skills: Overall experience in a related field of more than 7 years Bachelor's degree in Computer Science or a related field. Environment strategy: Familiarity with Dev, Test, and Prod environment practices. Python programming skills Proficient with SQL Proficient with Python or C# Excellent problem-solving and troubleshooting skills. Effective communication and collaboration skills. Proactive attitude and a willingness to learn and adapt in a fast-paced environment. Nice to have Experience with performance testing and profiling Experience integrating with cloud infrastructure platforms, in particular Microsoft Azure Understanding of Financial Mathematics Other Languages English: B2 Upper Intermediate Seniority Senior</p><br> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p>Project description L2 DataOps Consultant - Lakehouse Support. The consultant provides operational diagnostics and incident management for Lakehouse data platforms in an investment management environment . The role owns L2 incident resolution across data pipelines, coordinates with platform engineering, Data Engineers and data domain teams, and applies structured ITSM, change and problem management to reduce recurring issues. Working knowledge of investment-management data domains (portfolio/positions, trade lifecycle, market data, risk &amp; performance) is required for correct incident interpretation and faster RCA. Responsibilities Own and manage L2 incident resolution for Lakehouse data platforms Perform deep operational diagnostics across data pipelines (batch/stream) Coordinate resolution across platform engineering, Data Engineers and data domain teams Ensure correct usage of ITSM tools (e.g., ServiceNow) for incident tracking and lifecycle management Leverage metadata and documentation for troubleshooting and root cause analysis Maintain clear ownership, escalation paths and communication during incidents Reduce incident noise and recurring issues through structured problem management Skills Must have Strong experience in Data Operations (L2 support) Solid understanding of Lakehouse architectures (Databricks, Delta Lake or equivalent) Hands-on: incident management (ITSM discipline), data pipeline troubleshooting (batch/stream), cross-platform diagnostics Working knowledge of metadata-driven operations, data lineage and observability concepts Proven ability to own incidents end-to-end; strong RCA, change and problem management Basic-to-intermediate knowledge of investment-management data: portfolio/positions, trade lifecycle, market data, risk &amp; performance Preferred: enterprise-scale data platforms, observability tools (e.g., Dynatrace), batch orchestration tools experience as a Data Engineer, working with Delta Lake, Databricks environment. Proven hands-on experience working with Delta Lake under the hood. Nice to have Palantir (Foundry) — DQC setup in workshop, diagnostics of build failures and data pipelines Monte Carlo — data quality alert management and observability Azure DevOps — repository management, CI/CD Working knowledge of investment management data: portfolio terminology (maturity date, value date), trade lifecycle, market and risk data; familiarity with domain systems (Optima, Cardia) Understanding of data lineage, observability and metadata-driven operations concepts Exposure to enterprise-scale data platforms and batch orchestration / data workflow tools Other Languages English: C1 Advanced Seniority Senior</p><br> </div>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>We are seeking a detail-oriented and reliable Data Entry Clerk to join our operations team. This role is ideal for individuals who are accurate, organized, and comfortable working with structured digital tasks in a remote environment.</p><p>You will be responsible for maintaining high-quality data records, ensuring accuracy, and supporting smooth day-to-day operations through efficient data handling.</p><p>Responsibilities</p><ul><li><p>Enter, update, and maintain data across company systems and databases accurately.</p></li><li><p>Review information for errors, inconsistencies, or missing details and correct them when required.</p></li><li><p>Organize and prepare data for reporting and operational use.</p></li><li><p>Ensure confidentiality and proper handling of sensitive information.</p></li><li><p>Complete assigned daily and weekly tasks within deadlines while maintaining accuracy.</p></li><li><p>Support basic document formatting and data organization using Microsoft Word and similar tools.</p></li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>Previous experience in data entry, administration, or similar roles is an advantage.</p><p></p></section>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>We are seeking a detail-oriented and reliable Data Entry Clerk to join our operations team. This role is ideal for individuals who are accurate, organized, and comfortable working with structured digital tasks in a remote environment.</p><p>You will be responsible for maintaining high-quality data records, ensuring accuracy, and supporting smooth day-to-day operations through efficient data handling.</p><p>Responsibilities</p><ul><li><p>Enter, update, and maintain data across company systems and databases accurately.</p></li><li><p>Review information for errors, inconsistencies, or missing details and correct them when required.</p></li><li><p>Organize and prepare data for reporting and operational use.</p></li><li><p>Ensure confidentiality and proper handling of sensitive information.</p></li><li><p>Complete assigned daily and weekly tasks within deadlines while maintaining accuracy.</p></li><li><p>Support basic document formatting and data organization using Microsoft Word and similar tools.</p></li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>Previous experience in data entry, administration, or similar roles is an advantage.</p><p></p></section>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>We are seeking a detail-oriented and reliable Data Entry Clerk to join our operations team. This role is ideal for individuals who are accurate, organized, and comfortable working with structured digital tasks in a remote environment.</p><p>You will be responsible for maintaining high-quality data records, ensuring accuracy, and supporting smooth day-to-day operations through efficient data handling.</p><p>Responsibilities</p><ul><li><p>Enter, update, and maintain data across company systems and databases accurately.</p></li><li><p>Review information for errors, inconsistencies, or missing details and correct them when required.</p></li><li><p>Organize and prepare data for reporting and operational use.</p></li><li><p>Ensure confidentiality and proper handling of sensitive information.</p></li><li><p>Complete assigned daily and weekly tasks within deadlines while maintaining accuracy.</p></li><li><p>Support basic document formatting and data organization using Microsoft Word and similar tools.</p></li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>Previous experience in data entry, administration, or similar roles is an advantage.</p><p></p></section>