176 to 200 of 292 Model Validation Jobs in London

media related data, linking with full business resultsMMM & Strategic MeasurementLead the relationship with Burberry’s in-house MMM team; overseeing the brief, model inputs, validation and readoutTranslate MMM outputs into clear investment recommendations for Media and FinanceBuild the calibration loop between MMM and in-channel measurement, ensuring ...

media related data, linking with full business results MMM & Strategic Measurement Lead the relationship with Burberry's in-house MMM team; overseeing the brief, model inputs, validation and readout Translate MMM outputs into clear investment recommendations for Media and Finance Build the calibration loop between ...

exotic structuresEnhance and maintain libraries for pricing, risk, and hedging of complex productsPartner directly with trading desks and structuring teams to deliver quantitative solutionsAnalyse model performance, calibrate to market data, and ensure robust risk management frameworksContribute to the evolution of model architecture, analytics, and trading toolsSupport model governance, validation, and regulatory requirements where applicableRequirementsAdvanced degree (PhD/MSc) in Mathematics, Physics, Engineering, or a highly quantitative disciplineSignificant experience within equity derivatives modelling, ideally with a focus on exoticsStrong understanding of: Stochastic calculus, PDEs, and numerical methodsVolatility modelling (local vol, stochastic vol, hybrid models)Proficiency ...

proportionate, business-relevant advice, assurance and audit services. This role is responsible for leading and delivering specialist services in data governance, AI governance, AI model testing, and data analytics audits across Financial Services clients. As an Associate Director, you will act as a recognised subject matter expert across client … look into the role As an Associate Director within BRS, you will: Own and lead complex client engagements across data governance, AI governance, AI model testing, and analytics internal audit/risk within Financial Services, managing a significant portfolio of client relationships at senior stakeholder level. Lead strategic planning ...

financial markets and asset management line of business Strong business domain knowledge in ESG, investment stewardship, or buyside investment Familiarity with techniques for model explainability and self-validation CFA or equivalent financial qualification #J-18808-Ljbffr ...

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

term modeling vision. Who you are 5+ years' experience in credit risk modeling for consumer lending, credit cards, or BNPL. Deep proficiency in PD model development and validation, with strong knowledge of calibration techniques. Advanced Python and SQL skills; familiar with XGBoost, scikit-learn, pandas, MLFlow. Experience with … unstructured data (e.g., customer communications, credit applications). Knowledge of integrating third-party credit bureau data into production models. Understanding of champion/challenger model frameworks and A/B testing infrastructure. Exposure to loan-level economic modeling, including cost-of-capital and loss metrics. Curious to learn more ...

platforms that support equity risk modeling, investment analytics, and trading tools.What You'll Do• Partner with quantitative research and software engineering teams to translate model specifications and investment strategies into clear technical requirements• Manage the end-to-end requirements lifecycle for equity risk modeling and trading tools• Design … oversee the integration of quantitative models and datasets into existing trading and risk infrastructure• Perform data analysis and prototyping to validate model inputs and outputs and maintain data integrity across the research pipeline• Develop and maintain functional specifications, model logic documentation, data dictionaries, and documentation for quantitative tools ...

that support equity risk modeling, investment analytics, and trading tools. What You'll Do Partner with quantitative research and software engineering teams to translate model specifications and investment strategies into clear technical requirements Manage the end-to-end requirements lifecycle for equity risk modeling and trading tools Design … oversee the integration of quantitative models and datasets into existing trading and risk infrastructure Perform data analysis and prototyping to validate model inputs and outputs and maintain data integrity across the research pipeline Develop and maintain functional specifications, model logic documentation, data dictionaries, and documentation for quantitative tools ...

reliability of Citi's equity derivatives platform. Responsibilities Design, build, and enhance a production-grade pricing library for equity derivative products, ensuring robust model integration and engineering excellence. Implement and maintain derivative pricing models — including stochastic and local volatility, stochastic correlation, and jump processes — using numerical methods such … support payoff scripting frameworks that enable flexible and accurate trade representation across a range of equity derivative structures. Establish and uphold best practices for model testing, validation, and governance, working alongside model risk and control functions. Collaborate directly with traders, structurers, and technology teams to translate business ...

performance and reliability of Citi's equity derivatives platform. ResponsibilitiesDesign, build, and enhance a production-grade pricing library for equity derivative products, ensuring robust model integration and engineering excellence. Implement and maintain derivative pricing models — including stochastic and local volatility, stochastic correlation, and jump processes — using numerical methods such … support payoff scripting frameworks that enable flexible and accurate trade representation across a range of equity derivative structures. Establish and uphold best practices for model testing, validation, and governance, working alongside model risk and control functions. Collaborate directly with traders, structurers, and technology teams to translate business ...

current research and emerging methodologies. Engineering-grounded across the full ML lifecycle: comfortable owning your own code to production standard, from experiment design and model development through validation, deployment, monitoring and long-term maintenance. Deeply trained in a quantitative discipline, ideally educated to PhD level in Computer Science ...

with current research and emerging methodologies. Engineering-grounded across the full ML lifecycle: comfortable owning your own code to productionstandard, from experiment design and model development through validation, deployment,monitoringand long-term maintenance. Deeply trained in a quantitative discipline, ideally educated to PhD level in Computer Science, Statistics ...

London office. Company-issued equipment Role Responsibilities Owning the end-to-end framework for liquidity and credit risk measurement, ensuring alignment with business model, funding structure, and cross-border settlement dynamics. Defining forward-looking measurement methodologies including: Liquidity stress testing and cash flow risk analytics Counterparty and concentration risk … early warning indicators are forward-looking and decision-useful. Overseeing breach governance and ensure transparency at executive and Board level. Providing executive oversight of model development performed by analytics teams. Challenging assumptions, methodology choices, stress parameters, and data integrity. Ensuring strong model governance, validation standards, and documentation. ...

structure how to solve them through rigorous analysis, testing, and collaboration with product, finance, and growth. Whether you are rebuilding a Net Present Value model for a credit product, pressure-testing the assumptions behind a pricing change in acquiring, or designing the analytical framework for a new product, your … business strategy, you will bring a critical eye to how forecasts are built and how they are used. You will challenge assumptions, validate model outputs against in-market performance, and make analytical contributions that range from a single product feature to the broader picture of Teya’s economic engine. ...

An excellent opportunity for a Quantitative Analyst to join a highly talented and technically focused team based in central London. The successful candidate will be responsible for interpreting, analysing and manipulating large and complex datasets ...

An excellent opportunity for a Quantitative Analyst to join a highly talented and technically focused team based in central London. The successful candidate will be responsible for interpreting, analysing and manipulating large and complex datasets ...

comprehensive AI governance frameworks that ensure the ethical, responsible, and compliant use of AI technologies across the organization. You will leverage your expertise in model risk management and regulatory compliance to influence strategic decisions and operational plans, ensuring alignment with both business objectives and regulatory standards. Your role involves … ensure compliance with evolving regulatory standards and internal guidelines Lead the identification and mitigation of risks associated with AI/ML models, ensuring robust model risk management throughout their lifecycle Oversee the validation and monitoring of AI/ML models to ensure accuracy, fairness, and compliance, utilizing advanced ...

Barclay Simpson is recruiting a Senior Model Risk Analyst in London to own the end-to-end model risk management for a defined subset of models within a broader inventory. You will validate, monitor and review changes, and report findings to senior management. You will benchmark designs, review ...

management, analytics, business judgement, and industry benchmarks to change the way Vantage builds infrastructure. What You Will Own You will shape the performance data model for Vantage’s global infrastructure products and maintain the controlled data foundation behind Product Performance: the integrated WBS, cost, schedule, and benchmark data structures … source metadata, mappings, and refresh controls; validation and reconciliation routines; and the repeatable reporting built on top. You will keep the foundation auditable, refreshable, and capable of supporting product performance analysis over time, and you will work with Developers and IT to progressively tool and automate it. Your work ...

management, analytics, business judgement, and industry benchmarks to change the way Vantage builds infrastructure.## **What You Will Own**You will shape the performance data model for Vantage’s global infrastructure products and maintain the controlled data foundation behind Product Performance: the integrated WBS, cost, schedule, and benchmark data structures … source metadata, mappings, and refresh controls; validation and reconciliation routines; and the repeatable reporting built on top.You will keep the foundation auditable, refreshable, and capable of supporting product performance analysis over time, and you will work with Developers and IT to progressively tool and automate it.Your work will ...

churn, conversion, and cross-sell Customer segmentation using k-means or advanced clustering techniques Own end-to-end data workflows: feature creation, data wrangling, model tuning, validation, deployment, and monitoring Architect your own datasets where needed — merging structured and semi-structured data to power robust insights Operationalise models ...

maturity deposit modelling, deposit beta estimation, repricing lags, and volume flow projections under different macro scenarios and interest rate environments. Establish rigorous backtesting, model performance monitoring, and data quality frameworks to continuously evaluate model accuracy, identify potential drift, and refine behavioural and forecasting assumptions. Develop and uplift models … reflect evolving business needs, maintain model documentation and implementation, and support regulatory inquiries and second-line model validation. Deliver clear presentations and explanations related to balance sheet management for discussion with senior managers, committees, and key stakeholders. Qualifications Excellent academic background in a quantitative field such as mathematics ...

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 ...