21 of 21 Validation Jobs in West End of London

Oracle Fusion data models, table structures, subject areas, and data dictionaries. Advanced SQL and PL/SQL skills. Strong understanding of data extraction, validation, reconciliation, and reporting architecture. Experience designing scalable, supportable, and high-performance reporting solutions. Ability to translate business requirements into reusable technical solutions. Desirable Skills Experience with ...

modernise a business-critical booking platform using an incremental strangler-fig migration approach. Work on anti-corruption layers, two-way data synchronisation, staged cutovers, validation and zero-downtime release patterns. Build and maintain reliable CI/CD pipelines using Azure DevOps and GitHub Actions. Develop secure services within the Entra ...

delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test acceleration, release readiness, incident/root-cause analysis), while establishing measurable validation standards (secure coding, peer review, automated testing) and promoting reuse of proven patterns and automation within the SDLC/TLM toolchain. Applies knowledge of tools ...

behaviours for complex digital services Create high-fidelity prototypes to communicate interaction logic, validate design decisions, and support delivery Define micro-interactions, system states, validation patterns, and edge cases to ensure robust user experiences Apply and extend design systems, including the GOV.UK Design System, contributing reusable components and patterns Collaborate ...

cause analysis. Own end-to-end delivery with Technology on implementation, testing and deployment. Drive model governance and continuous improvement in partnership with Model Validation, including documentation, controls, and ongoing performance monitoring. Required qualification, capabilities, and skills Advanced degree in a quantitative field (or Bachelor's with relevant experience). ...

assisted development practices. Job Responsibilities Drive adoption of enterprise-authorized AI-assisted engineering practices to improve code quality, delivery speed, and operational outcomes Establish validation standards for AI-assisted work, including secure coding, peer review, and automated testing Promote reuse of effective patterns across the team to improve consistency ...

modelling, and consistent interpolation and calibration methodologies Implement these models in our quant library and trading/risk platforms, carrying out rigorous numerical testing, validation and documentation Deliver these models to production Work closely with traders and the wider quant team to solve problems, analyse curve, risk and volatility behaviour ...

improve user experience. Ability to create wireframes independently and in coordination with the design team. Signoff on stories through active participation in validation and Sprint Reviews. Facilitates handoff of stories requiring operational readiness, training, or adoption, continuing to track metrics to drive future stories. Fosters agile ways of working, DevOps ...

products and services Produce high-fidelity prototypes to communicate and validate interaction logic with users and developers Define and document micro-interactions, error states, validation patterns, and edge cases Apply and extend the GOV.UK Design System, contributing reusable patterns where appropriate Collaborate closely with engineering teams to ensure accurate, accessible ...

delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test acceleration, release readiness, incident/root-cause analysis), while establishing measurable validation standards (secure coding, peer review, automated testing) and promoting reuse of proven patterns and automation within the SDLC/TLM toolchain. Applies knowledge of tools ...

delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test acceleration, release readiness, incident/root-cause analysis), while establishing measurable validation standards (secure coding, peer review, automated testing) and promoting reuse of proven patterns and automation within the SDLC/TLM toolchain. Applies knowledge of tools ...

enabled development patterns (using enterprise-authorized tools within the work environment) across teams/functions, including establishing governance for human-in-the-loop validation, traceability/auditability, and secure handling of sensitive inputs/outputs. Strong understanding of responsible AI use and control expectations at scale, including security/resiliency ...

understanding of functional programming concepts and idiomatic Scala (e.g., immutability, monads, cats/Scalaz familiarity advantageous). Experience designing and consuming REST APIs, JSON validation/serialization (Play JSON, Circe). Experience with relational databases (PostgreSQL) and/or NoSQL (MongoDB), including schema design and query optimisation. Proven experience writing ...

cloud environments, Kubernetes security, and platform automation. You will work closely with Incident Response, Platform Engineering and Security Architects to ensure that security validation and defensive hardening are seamlessly integrated into infrastructure and operational workflows. Your role will require participation in a rotating on-call schedule outside of core business ...

alarms, faults, and energy-saving opportunities. Carry out remote fault diagnosis, optimisation works, and commissioning adjustments. Attend occasional site visits for in-depth troubleshooting, validation, and maintenance tasks. Produce clear system reports, performance summaries, and recommendations for clients. Work collaboratively with on-site engineers, FM teams, and stakeholders to resolve ...

Proven experience working as a Product Designer within modern digital product environments. Strong end-to-end UX and UI design experience, covering discovery, prototyping, validation and delivery. Experience working closely with content designers and user researchers. A track record of tackling complex user needs and working effectively where requirements ...

champion diverse perspectives, turn inputs into actions, and uphold trust through integrity. Skills and Competencies A deep understanding of quantitative finance, modeling, and model validation, coupled with practical experience is required, along with a good understanding of financial products and markets. A deep understanding of AI model risk management, including … risks and controls specific to Generative AI and Agentic AI, and their implications for model validation and governance. Deep expertise in artificial intelligence, with a track record of implementing advanced AI solutions to drive strategic transformation and operational efficiency. Strong experience using AI tools to lead innovation initiatives. Demonstrated leadership ...

business-critical analytics solutions supporting deposits, liquidity exposure, balance sheet optimization, and revenue growth. Establish and maintain AI/ML governance frameworks, including documentation, validation, monitoring, bias reviews, and regulatory compliance requirements. Partner with Technology, Quantitative Research, and data platform teams to ensure adherence to analytics governance and firmwide standards. … LLMs). Experience with data visualization, analytics, and reporting tools such as Tableau, Power BI, Qlik, Alteryx, or similar platforms. Familiarity with model governance, validation frameworks, and responsible AI practices. Strong understanding of enterprise data architecture, analytics enablement, and data-driven operating models. ABOUT US J.P. Morgan is a global ...

security requirements. Leads reuse-first adoption of AI-assisted reliability workflows across SDLC/toolchain practices (e.g., CI/CD quality checks, test/validation automation, and operational readiness), ensuring traceability/auditability, resiliency, and security controls. Drive improvements in latency, throughput, and stability across high volume trading applications. Build … Demonstrated experience using enterprise-authorized AI capabilities within the work environment to improve SRE workflows (e.g., incident investigation support and knowledge capture) with strong validation habits and awareness of data sensitivity. Ability to evaluate AI-assisted operational recommendations for correctness and risk, define appropriate guardrails for team usage, and ensure ...

tool use, orchestration, memory, and multi-agent workflows Ability to own the full model-development lifecycle, including problem framing, data exploration, solution design, estimation, validation, deployment, and ongoing monitoring Ability to explain, present, and demonstrate complex modeling work clearly to senior leaders, cross-functional partners, and non-technical stakeholders Working … across the Corporate and Governments business to translate client needs and market opportunities into well-scoped data science initiatives Own model selection, experimentation, and validation end-to-end, ensuring solutions are accurate, scalable, compliant with applicable regulations and legal frameworks, and production-ready Identify opportunities for automation and model-based ...

including AI-driven PR review assistance, test generation and maintenance, release readiness checks, and incident triage and root-cause acceleration while defining guardrails for validation, security, resiliency, and reuse across teams. Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation … agentic AI-enabled development practices (using enterprise-authorized tools within the work environment) across teams, including setting standards for human-in-the-loop validation, auditability and traceability of changes, and secure handling of sensitive data. Strong understanding of responsible AI use and control expectations in engineering workflows, including security ...