151 to 175 of 229 Model Validation Jobs in London

presenting conclusions to relevant stakeholders. Deep expertise in data governance frameworks (e.g. DAMA DMBOK, DCAM) and AI governance,modelrisk management, and AI model testing and validation methodologies, including familiarity with emerging regulatory and industry standards (e.g. EU AI Act, NIST AI RMF,PRA SS1/ ...

data pipelines to ingest, transform and process large and complex datasets. Develop automated web scraping and bulk data acquisition workflows . Implement data transformation, validation, testing and quality controls to ensure datasets are reliable, reproducible and ready for analysis. Build and maintain containerised data and analytics applications , including dashboards … equivalent professional experience in data engineering, data science or cloud development . A strong understanding of data engineering best practices , including data modelling, transformation, validation, testing. Experience working collaboratively within multidisciplinary teams . Strong communication skills, with the ability to explain technical work clearly and engage with non-technical ...

successful candidate will work with experienced colleagues to run models, test outputs, support regular assumption setting and scenario generation processes, and contribute to model development. What will you be doing? The successful candidate should be able to undertake, or be keen to develop capability in, most of the following … Lead or manage asset-liability modelling work for client projects, including model runs, analysis, output review and communication of results, this may include direct client‐facing presentations Develop, maintain and improve asset modelling tools for monitoring, portfolio analysis, strategic investment modelling and client reporting Calibrate the Economic Scenario Generator ...

codebases where high-level technical hurdles require expert intervention. Define and drive the software V&V and test automation strategy, building infrastructure for continuous validation and championing design for testability across the engineering stack Establish compliance-as-code workflows that map verification evidence to IEC 62304 (Class … Azure) Nice to have: Experience with hardware-in-the-loop or software-in-the-loop test environments Exposure to MLOps, including model drift validation, dataset governance, and automated performance evaluation and deployment of organisational AI strategy Experience with cybersecurity requirements (e.g. IEC 81001-5-1, FDA cybersecurity guidance ...

accountability, transparency, explainability, contestability, privacy, safety, security, robustness, humanoversightand monitoring. Conduct AI and algorithmic impact assessments, including ethical risk, equality considerations, privacy, data protection, model/system risk, operationalriskand potential harm. Define AI assurance approaches, including assurance cases, evidence requirements, model/system evaluation, testing, validation, monitoring … Advise clients on AI governance structures, including AI boards, risk triage, decision rights, accountability models, approvalgatesand lifecycle controls. Support documentation and transparency activities, including model cards, system cards, assurance packs, riskassessmentsand Algorithmic Transparency Recording Standard submissions where relevant. Review AI-enabled products, vendor tools, automation solutions, decision-support systems ...

risk costs (frequency, severity and pure premium) as accurately as possible using state-of-the-art techniques. Ensure rigorous data cleansing and preparation, validate model outputs against financial results and portfolio performance, produce comprehensive documentation, and actively incorporate feedback from key stakeholders (Portfolio, Reserving and Underwriting) to refine … life Actuarial Type: Permanent Key Responsibilities (including but not limited to): Own the end-to-end modelling lifecycle: problem framing, data build, feature engineering, model development, validation, documentation Build and maintain risk and price models using GLMs and machine learning Translate models into implementable rating structures Strong governance ...

between data, business capabilities, processes, applications, integrations and technology components. Develop application and technology architecture views where required to support data architecture and traceability. Model Microsoft Azure environments and services relevant to enterprise data, including data platforms, integration, storage, identity, security and networking. Assess the data and architecture implications … Maintain traceability between requirements, data, applications, technologies, integrations, work packages, deliverables and implementation milestones. Capture and structure architecture and data requirements and support their validation and traceability. Identify data, application, integration and technology dependencies, gaps, duplication, risks and inconsistencies. Assess project and solution designs against agreed enterprise architecture principles ...

between data, business capabilities, processes, applications, integrations and technology components. Develop application and technology architecture views where required to support data architecture and traceability. Model Microsoft Azure environments and services relevant to enterprise data, including data platforms, integration, storage, identity, security and networking. Assess the data and architecture implications … Maintain traceability between requirements, data, applications, technologies, integrations, work packages, deliverables and implementation milestones. Capture and structure architecture and data requirements and support their validation and traceability. Identify data, application, integration and technology dependencies, gaps, duplication, risks and inconsistencies. Assess project and solution designs against agreed enterprise architecture principles ...

identifying root causes and working with relevant teams to resolve them Build and maintain Python-based data workflows and pipelines for ingestion, transformation and validation of modelling data Maintain and develop historical data assets, ensuring they remain accurate, accessible and fit for analytical use Work with engineers to improve … upstream and downstream data flows, ensuring critical data is captured and processed effectively Ensure data quality and integrity through validation, reconciliation and targeted monitoring across key datasets Expand visibility into data issues by improving checks, alerts and investigative workflows across critical pipelines Define and improve data logic, transformations ...

Design reusable development frameworks and components, ensuring high standards across code quality, performance, testing and maintainability . Implement complex Salesforce configuration, automation, workflows, approvals, validation rules and security controls . Agentforce, AI & Data Cloud Design and develop Salesforce Agentforce and Agentic AI solutions , integrating AI-enabled capabilities into enterprise … solutions , with an understanding of how AI capabilities integrate into enterprise Salesforce processes. Strong knowledge of Salesforce architecture, administration, configuration, security models, workflow automation, validation rules and data management . Experience designing and supporting enterprise integrations using REST/SOAP APIs , alongside strong knowledge of Salesforce integration and application ...

Data Analyst Modeller Rate: £500 per day Status: Outside IR35 Contract: 6-12 months Location: Stratford, London Working Pattern: Hybrid - 3 days per week on-site Industry: Public Sector - International Education Key Responsibilities. Develop and ...

Our People Insights team is seeking a London-based Senior Analyst, People Insights, reporting to the Sr. Manager, People Insights. This role sits at the intersection of quantitative modeling and data storytelling, critical to expanding ...

Company Overview At RocketFin, we are a leading provider of innovative financial technology solutions, specialising in deploying cutting‐edge risk and trading technologies for some of the world’s most complex commodities operations. Position Overview ...

Company Description Wise is a global technology company, building the best way to move and manage the worlds money. Min fees. Max ease. Full speed. Whether people and businesses are sending money to another country ...

financing strategies, and client-driven solutions. Build strong relationships with senior stakeholders across Markets, translating complex quantitative concepts into actionable business decisions. Ensure robust model governance, validation support, and regulatory compliance across the quantitative analytics landscape. Lead and develop high-performing teams of quantitative analysts, researchers, and quantitative … fostering a culture of innovation and delivery excellence. To be successful in this role, we're seeking the following: Significant experience in quantitative analytics, model development, or quantitative product delivery within financial markets. Deep knowledge of derivative pricing, quantitative modelling, valuation methodologies, and risk analytics across one or more ...

Associate Consultant and an Investment Consultant to their Asset Modelling team. Key responsibilities Lead or manage asset-liability modelling work for client projects, including model runs, analysis, output review and communication of results, this may include direct client-facing presentations Develop, maintain and improve asset modelling tools for monitoring … portfolio analysis, strategic investment modelling and client reporting Calibrate the Economic Scenario Generator and oversee regular processes, including validation checks, documentation of key judgements and analysis to support assumption setting Manage analysis work for the assumption group, producing investment analysis to support assumption setting and central model servicing ...

Senior Decision Scientist to lead the development of cutting-edge credit decisioning models across SME lending. You'll own the end-to-end model lifecycle, from problem framing through to deployment and monitoring, while working at the intersection of data and risk, to shape the future of our lending … What You'll Do as Senior Decision Scientist Build and deploy ML and statistical models for credit risk, affordability, and pricing Own the full model lifecycle, including data, feature engineering, modelling, validation, deployment and monitoring Develop monitoring frameworks and performance dashboards Drive innovation through new data sources, challenger ...

presenting conclusions to relevant stakeholders. Deep expertise in data governance frameworks (e.g. DAMA DMBOK, DCAM) and AI governance,modelrisk management, and AI model testing and validation methodologies, including familiarity with emerging regulatory and industry standards (e.g. EU AI Act, NIST AI RMF,PRA SS1/ ...

Model ML is the AI workflow builder transforming how major financial institutions produce and validate client-ready work. Model ML converts complex, manual processes into fully automated AI systems that scale across global teams. In under a year, Model ML has become one of the fastest growing … powered features in production , including RAG (Retrieval-Augmented Generation) systems, multi-agent infrastructure, and evaluation frameworks (Evals) . Create data pipelines for AI model training, evaluation, and continuous improvement. Mentor junior developers and promote engineering best practices. Required Qualifications 5+ years of professional software engineering experience. Hands-on experience ...

Model ML is the AI workflow builder transforming how major financial institutions produce and validate client-ready work. Model ML converts complex, manual processes into fully automated AI systems that scale across global teams. In under a year, Model ML has become one of the fastest growing … powered features in production , including RAG (Retrieval-Augmented Generation) systems, multi-agent infrastructure, and evaluation frameworks (Evals) . Create data pipelines for AI model training, evaluation, and continuous improvement. Mentor junior developers and promote engineering best practices. What you can expect It won't be easy; in fact ...

Model ML is the AI workflow builder transforming how major financial institutions produce and validate client-ready work. Model ML converts complex, manual processes into fully automated AI systems that scale across global teams. In under a year, Model ML has become one of the fastest growing ...

researchers, elevate research quality, and scale high-impact ideas across regions. Working closely with traders, researchers, and developers globally, you will drive the discovery, validation, and deployment of new sources of alpha that improve production trading performance. Our Systematic Equities business benefits from significant advantages in market access, execution … European alpha research team. Help define and prioritise the alpha research agenda. Deliver measurable improvements in production trading performance through robust research, disciplined validation, and close collaboration with trading teams. Establish and uphold best practices for research methodology, validation, reproducibility, and deployment across the alpha research team. Foster ...

data pipelines that connect Notion with customers’ systems and workflows.- Oversee large-scale content and data migrations, including discovery, scoping, data modeling, transformation logic, validation, cutover, and post-migration optimization.- Review technical designs and implementation plans, identify delivery risks early, and step in directly when an engagement requires senior … strategic opportunities.- Balance customer priorities, team capacity, and technical complexity to make sound staffing and sequencing decisions.- Help define and scale the operating model for Forward Deployed Engineering, including hiring, onboarding, delivery methodologies, quality reviews, documentation, and engineering best practices.SKILLS YOU'LL NEED TO BRING- 8+ years of experience ...

Winton is a research-based investment management company with a specialist focus on statistical and mathematical inference in financial markets. The firm researches and trades quantitative investment strategies, which are implemented systematically via thousands of ...

Kraken is seeking a highly skilled Model Risk Management Specialist to join our team, focusing on Transaction Monitoring and Customer Risk Assessments for AML/CFT purposes. You will lead independent validation of Transaction Monitoring, Customer Risk Assessment and Screening models, including AI components, and ensure alignment with … regulatory expectations. You will collaborate with Model Engineering, AML/CFT experts and risk teams, develop monitoring procedures, maintain documentation, and #J-18808-Ljbffr ...