201 to 225 of 751 Validation Jobs in London

solutions that support effective management of Model Risk. You work closely with model risk stakeholders, technology partners, and UX teams to ensure products supporting validation, inventory governance, and reporting are well defined and delivered. You contribute to a global risk organization that helps ensure models are fit for purpose, used ...

Participate in the architecture and design of distributed systems, ensuring robustness and extensibility Trading Workflow & System Design Analyse existing ETF trading workflows (Blotter, booking, validation chain) and translate them into improved system designs. Lead the design and development of the new ETF Blotter within the Edge Board platform Build clean ...

delivery speed, and operational outcomes (e.g., AI‐assisted code review/refactoring, test strategy acceleration, incident/root‐cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team. Applies knowledge of tools within the Software Development Life ...

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 ...

based agents, AI‐augmented IDEs, and automated workflows. You are ultimately accountable for production quality, security, and correctness. This means owning infrastructure review, security validation, system observability, and operational guardrails. WHAT YOU'LL DO Design and operate cloud infrastructure on AWS to support low‐latency, always‐on real‐time workloads. ...

practical projects. What You Will Learn Throughout the traineeship, you will develop an understanding of: Product Management Fundamentals Product Lifecycle Management Product Discovery and Validation Customer Research and User Interviews Market Research and Competitive Analysis Product Strategy and Vision Product Roadmapping Requirements Gathering and Prioritisation Writing User Stories and Acceptance ...

delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team. Apply knowledge of tools within the Software Development Life ...

team adoption of enterprise-authorized AI-assisted engineering practices across the SDLC toolchain to improve code quality, delivery speed, and operational outcomes, while setting validation standards for correctness, performance, and security Mentors engineers and contributes to a culture of inclusion, respectful collaboration, and continuous improvement aligned to measurable outcomes Required ...

configuration changes and support migration activities.Collaborate with the Lead TDA to ensure all automation aligns with architecture and governance controls.Support pre and post-change validation, ensuring automation outputs meet expectations.Troubleshoot automation pipelines and network behaviours during delivery.Contribute to the continuous improvement of automation tooling and processes. What You'll Need ...

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 ...

depth knowledge and understanding of statistical aspects (especially these which are used in Credit Risk-Basel modelling): Logistic-Linear Regression, Scorecard development model validation approaches (GINI coefficient KS- statistics) Data sampling Data mining model maintenance frameworks. Excellent analytical skills and a strong attention to detail. A qualification in a degree ...

Drive adoption and governance of approved AI‐assisted engineering practices across teams to improve code quality, delivery speed, and operational outcomes, while establishing measurable validation standards. Apply knowledge of tools within the Software Development Life Cycle toolchain, including approved AI‐assisted development and automation capabilities, to improve the value realized ...

support migration activities. Collaborate with the Lead TDA to ensure all automation aligns with architecture and governance controls. Support pre and post-change validation, ensuring automation outputs meet expectations. Troubleshoot automation pipelines and network behaviours during delivery. Contribute to the continuous improvement of automation tooling and processes. What ...

across cross-functional teams and clients Demonstrated experience using enterprise-authorized AI capabilities within the work environment to support program management workflows with strong validation habits and awareness of data sensitivity. Ability to review and validate AI-assisted plans, risks, and recommendations before use, escalating when uncertain and following data ...

delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team Apply knowledge of tools within the Software Development Life ...

Predictive modeling using Machine Learning and Data Science techniques Time-series modeling (ARIMA and panel data models) and simulation models (Monte Carlo) Development, validation and audit of financial, risk, marketing and business-oriented models R&D projects Requirements: Recent graduates or final year students. Should desirably have knowledge of Artificial ...

performing root cause analysis as needed. Monitor completeness, pairing, and matching controls, including UTI alignment and counterparty reporting. Support daily regulatory reporting submissions and validation processes. Track regulatory developments and translate requirements into control and process enhancements. Produce management information (MI), exception reports, and governance updates. Collaborate with internal teams ...

leading-edge technologies Use AI-assisted tools to accelerate engineering work while maintaining controls, including: Drafting/refactoring code and documentation with validation via tests, code review, and static/security scanning. Generating and expanding test scenarios (edge cases, regression suites) and verifying correctness/coverage. Assisting with troubleshooting ...

Support simulation, SIL, HIL, VIL, ground testing, and live flight test activities Support field demonstrations and operational test events, including pre-flight setup, system validation, troubleshooting, and post-flight analysis Operate and troubleshoot Ground Control Stations (GCS) and mission support systems Capture, analyze, and review flight and system data ...

scientists to identify high-impact opportunities for integrating AI and machine learning into technology and business use cases. Implement automated systems for continuous training, validation, and monitoring of models, minimizing downtime and ensuring reliability. Provide technical leadership in selecting, integrating, and optimizing AI and ML frameworks, libraries, and tools across ...

business reporting requirements. Provide portfolio performance monitoring and reporting, analysing actual versus forecast performance for closed transactions. Support model governance processes, including model testing, validation and maintenance of audit-ready documentation. Drive improvements in automation, controls and efficiency through enhanced tooling, scripting and data processing solutions. Collaborate with stakeholders across ...

cost-effective cloud transformation, including AI infrastructure, data platforms, migration, modernisation, cloud operations and regulated workloads. From early qualification through RFP response, technical validation, commercial shaping and handover to delivery, your architectural leadership will help ensure solutions are credible, competitive and deliverable. Key Responsibilities Deal-Shaping & Qualification: Partner with account ...

leading-edge technologies Use AI-assisted tools to accelerate engineering work while maintaining controls, including: Drafting/refactoring code and documentation with validation via tests, code review, and static/security scanning. Generating and expanding test scenarios (edge cases, regression suites) and verifying correctness/coverage. Assisting with troubleshooting ...

/ADAS, from developing the Machine Learning (ML) models for perception and prediction of human driving patterns, to increasing the sophistication of our validation and simulation by identifying rare and interesting real-world driving situations. The data ecosystem developed by the London team is a key building block for developing ...

delivery speed, and operational outcomes (e.g., AI‐assisted code review/refactoring, test strategy acceleration, incident/root‐cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team Apply knowledge of tools within the Software Development Life ...