201 to 225 of 292 Model Validation Jobs in London

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 ...

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 ...

reporting on internal audits, and in presenting conclusions to relevant stakeholders. Deep expertise in data governance frameworks (e.g. DAMA DMBOK, DCAM) and AI governance, model risk management, and AI model testing and validation methodologies, including familiarity with emerging regulatory and industry standards (e.g. EU AI Act, NIST ...

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 ...

capital in a true cross-product and cross-platform approach. These platforms work as one, deploying our capital creatively through our unique Fusion Model: Client Centric, Risk Centric, Technology Centric.Built to be resilient, Ascot maximizes client financial security while delivering bespoke products and world class service — both … support and individual case pricing, in line with best-practice actuarial techniques and under the supervision of senior colleagues.Supporting the ongoing maintenance and cyclical validation of rating tools and pricing capabilities across all classes of business, including model documentation.Contributing to the development of the Pricing Framework within ...

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 ...

data extraction, transformation, and loading into Teradata. Build and maintain risk models for credit, operational, and market risk analysis. Conduct data profiling, cleansing, and validation to ensure accuracy and consistency. Collaborate with stakeholders to gather requirements and deliver data-driven solutions. Perform exploratory data analysis to uncover trends … mitigation. Automate reporting and dashboard creation using Python and BI tools. Optimize Teradata queries and ETL performance for efficient data processing. Document data flows, model logic, and technical specifications for transparency. Ensure compliance with data governance and contribute to continuous improvement initiatives. Your Profile: 3+ years of experience ...

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 ...

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

This job is with Wise, an inclusive employer and a member of myGwork – the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. Wise is a global technology company ...

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 ...

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 DescriptionWise is a global technology company, building the best way to move and manage the world’s money.Min fees. Max ease. Full speed.Whether people and businesses are sending money to another country, spending abroad ...

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 We are recruiting an ...

Our client is a global money transfer technology company. Company Description Our client is a global technology company, building the best way to move and manage the worlds money. Min fees. Max ease. Full speed. ...

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 ...