76 to 100 of 1,440 Validation Jobs in London

contribute to development standards and engineering best practices. Investigate and resolve defects identified during functional, integration, migration and production testing. Support reconciliation and validation of financial calculations between legacy systems and Vault. Analyse existing product behaviour and legacy-system rules when supporting product migration. Contribute to technical design discussions ...

Your Role: Design, develop, and maintain scalable data pipelines using AWS cloud services. Build and manage ETL/ELT workflows for data ingestion, transformation, validation, and reporting. Develop and maintain dbt models, tests, snapshots, macros, and documentation. Create high-performance data transformation solutions using PySpark and SQL. Design and optimize ...

materials, retrieval sources, workflow guardrails, and output formats.Support RAG and document-intelligence workflows, including document ingestion, chunking, metadata design, retrieval quality, structured extraction, and validation with subject-matter experts.Evaluate AI outputs for accuracy, groundedness, completeness, formatting, usability, and business value; use feedback and test cases to improve configurations over time.Create ...

lifecycle, from concept and design through to deployment and supportCollaborate with technical teams to deliver robust and scalable software solutionsSupport software testing, integration, and validation activitiesParticipate in code reviews and continuous improvement initiativesProduce and maintain technical documentation where requiredAssist with troubleshooting, defect resolution, and system optimisationContribute to Agile team activities ...

line with the Plan agreed with the European Central BankLeads the day-to-day delivery of BCBS 239 requirements for risk data aggregation, validation, reconciliation and reportingDevelops, documents and operationalizes elements of the data governance framework covering lineage, quality, metadata and retentionEstablishes and monitors key performance indicators for data quality ...

infrastructure, including solutions such as S3, Glue, Lambda, Step Functions.Data Quality & Deployment: Monitor and ensure the accuracy, completeness, and reliability of data products through validation using data build tool (dbt).Version Control: Knowledge of version control systems, particularly Git, for managing codebase and collaborating with other team members.Collaboration: Work closely ...

line with the Plan agreed with the European Central Bank Leads the day-to-day delivery of BCBS 239 requirements for risk data aggregation, validation, reconciliation and reporting Develops, documents and operationalizes elements of the data governance framework covering lineage, quality, metadata and retention Establishes and monitors key performance indicators ...

segmentation design and build the data pipelines that turn raw clinical recordings into structured, governed training datasets, supporting continuous training, model improvement, and re-validation cycles architect and operate the production ML stack, including model versioning, deployment, monitoring, drift detection, and rollback, for our cloud-enabled, regulatory-cleared surgical imaging ...

throughout the delivery lifecycle.Ensure requirements are clearly understood and solutions remain aligned to business objectives.Support testing, business readiness and release activities where required.Perform functional validation and regression testing for releases where appropriate, particularly in areas where automated test coverage is still evolving.Identify and manage risks, assumptions, issues and dependencies.Contribute ...

networks, reinforcement learning, and transfer learning.Familiarity with traditional machine learning algorithms such as random forests, SVM, logistic regression, and Bayesian modelling for model building, validation, and testing.Familiarity with cloud platforms (e.g., Bedrock, AWS, Azure) for model deployment and the creation of production-ready pipelines.Proficiency in data visualization tools and techniques.Experience ...

insights. Partner closely with freight traders and LPG traders to develop market views and support trading strategy development. Perform scenario analysis, back-testing, and validation of freight market assumptions, forecasts, and trading strategies. Utilize and enhance analytical tools incorporating vessel tracking data, AIS data, port intelligence, freight market data ...

complex issues, coordinating with stakeholders, and ensuring system availability, performance, and service excellenceOversee integrations, data management, and system lifecycle activities, including data migration, validation, reconciliation, platform upgrades, releases, enhancements, and continuous optimisationCollaborate with business stakeholders, vendors, and third-party partners to define requirements, implement solutions, manage platform roadmaps, support projects ...

code to support index calculations, back-testing, performance attribution and analytics frameworks used for internal and external stakeholders. Build tools to streamline Index monitoring, validation and rebalancing as well as ad-hoc requests.Work with data: Integrate, process, clean and analyze financial datasets including traded instruments (equity, fixed-income, currencies, commodities ...

shifting platform operations from reactive troubleshooting to autonomous mitigation. Risk-Aware Automation: Demonstrates a disciplined approach to safety by implementing strict confidence thresholds, validation loops, and human-in-the-loop fallbacks for autonomous AI actions. Value-Oriented Engineering: Treats cost optimization as a first-class architectural metric, aligning infrastructure spend ...

shifting platform operations from reactive troubleshooting to autonomous mitigation. Risk‐Aware Automation: Demonstrates a disciplined approach to safety by implementing strict confidence thresholds, validation loops, and human‐in‐the‐loop fallbacks for autonomous AI actions. Value‐Oriented Engineering: Treats cost optimization as a first‐class architectural metric, aligning infrastructure spend ...

scheduling; Kubernetes-native GPU scheduling including device plugins and MIG partitioning for multi-tenant clusters.CI/CD/CT for ML: automated model testing, validation gates, and promotion pipelines (continuous training/continuous delivery) that move models safely from experimentation to production.Infrastructure & GPU observability: NVIDIA DCGM, Prometheus/Grafana ...

Kubernetes-native GPU scheduling including device plugins and MIG partitioning for multi-tenant clusters. CI/CD/CT for ML: automated model testing, validation gates, and promotion pipelines (continuous training/continuous delivery) that move models safely from experimentation to production. Infrastructure & GPU observability: NVIDIA DCGM, Prometheus/Grafana ...

structures , chart of accounts, multi-GAAP environments including local GAAP and IFRS, balance revaluation, adjustments processing, foreign currency translations and FX management, translations, cross validation security rules, intercompany accounting and eliminations, group wide consolidation etc.Knowledge of core financial sub ledgers such as invoice and payments, workflow approval rules, payment formats ...

London to join the Market Data and Integration team within Risk Analytics. The role will focus on workflow design, data pipeline requirements, integration patterns, validation controls, and operational improvements that support scalable risk analytics delivery. Responsibilities The Senior Product Analyst will work with product, financial engineering, data, technology, support, professional … services, and client-facing teams to analyse requirements and design robust workflows for market data ingestion, enrichment, validation, transformation, integration, and delivery into Risk Analytics products and services. The role will translate business, analytical, and operational needs into clear specifications, data mappings, process flows, user stories, acceptance criteria, test scenarios ...

London to join the Market Data and Integration team within Risk Analytics. The role will focus on workflow design, data pipeline requirements, integration patterns, validation controls, and operational improvements that support scalable risk analytics delivery.ResponsibilitiesThe Senior Product Analyst will work with product, financial engineering, data, technology, support, professional services … client-facing teams to analyse requirements and design robust workflows for market data ingestion, enrichment, validation, transformation, integration, and delivery into Risk Analytics products and services.The role will translate business, analytical, and operational needs into clear specifications, data mappings, process flows, user stories, acceptance criteria, test scenarios, release notes ...

that analytical outputs produce accurate and repeatable results against known reference cases. Key experience we're looking for: - Experience testing data-intensive systems, including validation of data pipelines, transformations, and end-to-end data quality. - Ability to assess quantitative, analytical, or model-driven outputs and verify results against expected reference ...

Design and maintain semantic models, measures and reusable analytical datasets. Develop insightful dashboards, reports and data products that drive business value. Ensure data quality, validation and governance standards are maintained. Conduct exploratory analysis to identify trends, risks and opportunities. Communicate findings through compelling visualisations and business-focused recommendations. Key Skills ...

complex scripts, stored procedures, and transformations for high‐performance data processing.Performance Optimisation - Ensure our warehouse is stable, scalable, and ready for increasing data volumes.Testing & Validation - Validate ETL accuracy, troubleshoot data quality issues, and support end‐to‐end testing.Documentation - Keep our technical documentation clear, complete, and future‐proof.Collaboration - Work closely with ...

issues, escalating where necessary and ensuring timely resolution. Support and maintain core finance and matter management processes, ensuring operational effectiveness. Perform data maintenance activities, validation checks, and user access administration. Review and process authorisation requests in line with established governance and control frameworks. Monitor system performance, identify recurring issues ...

data management practices and troubleshooting data quality issues.Develop and maintain Python scripts and data pipelines for automation and streamlined data processes.Conduct rigorous data cleansing, validation, and testing to uphold high standards of data integrity across all systems.Support and mentor team members in best practices for data engineering, ETL, and warehousing ...