76 to 100 of 229 Model Validation Jobs in London

designing and implementing Agentforce and Agentic AI solutions. Strong Salesforce administration, configuration, implementation, and development experience. Expertise in Salesforce customisation, security models, workflow approvals, validation rules, and data management. Strong Apex development experience, including classes, controllers, triggers, Visualforce pages, and web services. Experience developing and supporting Salesforce integrations using ...

other consulting firms, and will help drive the business forward from day one. Skills to be successful: 8–10 years in CCR and XVA model development and analytics, ideally including consultancy, with a track record of leading teams, complex projects and non-trivial systems end to end. Master ...

across platforms such as Relativity, Epiq AI, Reveal AI, and other advanced review or analytics platforms.* Develop and refine prompts, instructions, classification criteria, and model guidance for generative AI and LLM-enabled tools, with a focus on consistency, quality, defensibility, and practical review outcomes.* Advise clients and internal teams … appropriate use cases, limitations, risks, defensibility considerations, and quality control measures for AI-enabled review workflows.* Explain statistical concepts, validation methodologies, sampling approaches, model performance, and review metrics to audiences with varying levels of technical, legal, and operational knowledge.* Demonstrate a strong understanding of the full eDiscovery lifecycle ...

cross-asset workflows. What's the role? We are looking for a senior product manager to run IPQA's analytics architecture and drive model delivery at scale, ensuring our analytics continue to lead as client and market needs evolve. You will work at the intersection of quantitative finance, engineering … clients across Terminal, Enterprise Data and Enterprise Products. At the core of this role is a founding conviction: analytics at scale require a model-agnostic design, where the architecture enforces consistency and transparency across models, asset classes and client workflows. You will work closely with our quant and engineering ...

Bank of America in London is seeking a Quantitative Finance Analyst (up to Vice President) to join the Enterprise Model Risk Management team. You will validate and challenge models, collaborate with developers and validators, and contribute to regulatory requests and reviews. The role requires advanced technical degrees and strong ...

JPMorgan Chase & Co. is seeking a Quant Modeling Associate/VP to join the Model Risk Governance and Review team. You will assess and mitigate model risk for electronic trading models, collaborating with developers and users across the firm. The role offers exposure to valuation, risk measurement, capital … calculations, and related decision-making. Candidates should have strong quantitative training and experience in model validation and front office contexts. #J-18808-Ljbffr ...

anomaly detection, variance analysis, drift detection, forecasting, behavioural signals, and prediction, ensuring they are accurate, explainable, resilient, and regulator-ready. Own the full model lifecycle from problem framing, data exploration, feature engineering, back-testing, validation, deployment, monitoring, tuning, and incident response when models degrade or fail in production. … models within financial services or other highly regulated, high‐availability environments. Deep expertise in applied data science and ML, including statistical modelling, predictive analytics, model development, validation, deployment, monitoring, and optimisation across the full model lifecycle. Strong hands‐on technical skills, with the ability to work directly ...

alternative application process. RF & NTN Propagation Engineer (UK) Full Time London, GB 15 days ago Requisition ID: 1026 Meridian is building a fundamentally new model for sovereign space infrastructure—delivering complete, owned Low Earth Orbit (LEO) satellite constellations that provide governments and commercial operators with full control, assured access ...

language for the large-scale analysis and production of securities data Research and development of market dynamics across multiple asset classes Prototyping, testing, and validation of TradingHub’s proprietary models Requirements Proficiency with C#, C++ or Python Evidence of exceptional mathematical and analytical skills Initial industry experience working ...

improve machine learning models and algorithms for Content AI applications. Design and implement end-to-end machine learning solutions, including data preparation, feature engineering, model training, validation, deployment, monitoring, and continuous optimisation. Apply statistical analysis, experimentation, and data-driven decision-making to assess model performance and guide … applications, RAG systems, and Generative AI capabilities for content understanding, summarisation, classification, and recommendation use cases. Build evaluation frameworks and observability solutions to monitor model quality, reliability, latency, drift, and business impact. Evaluate trade-offs between model quality, scalability, latency, and infrastructure cost when developing AI-powered products. ...

improve machine learning models and algorithms for Content AI applications. Design and implement end-to-end machine learning solutions, including data preparation, feature engineering, model training, validation, deployment, monitoring, and continuous optimisation. Apply statistical analysis, experimentation, and data-driven decision-making to assess model performance and guide … applications, RAG systems, and Generative AI capabilities for content understanding, summarisation, classification, and recommendation use cases. Build evaluation frameworks and observability solutions to monitor model quality, reliability, latency, drift, and business impact. Evaluate trade-offs between model quality, scalability, latency, and infrastructure cost when developing AI-powered products. ...

business intelligence solutions, from requirements gathering through production deployment. Define and execute the AI and machine learning strategy, including use case prioritization, model lifecycle management, and Generative AI initiatives. Partner with Quantitative Research, Technology, and Product teams to develop, scale, and industrialize innovative AI and analytics capabilities. Drive … 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 ...

business intelligence solutions, from requirements gathering through production deployment. Define and execute the AI and machine learning strategy, including use case prioritization, model lifecycle management, and Generative AI initiatives. Partner with Quantitative Research, Technology, and Product teams to develop, scale, and industrialize innovative AI and analytics capabilities. Drive … 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 ...

business intelligence solutions, from requirements gathering through production deployment. Define and execute the AI and machine learning strategy, including use case prioritization, model lifecycle management, and Generative AI initiatives. Partner with Quantitative Research, Technology, and Product teams to develop, scale, and industrialize innovative AI and analytics capabilities. Drive … 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 ...

Title Model Development Team Lead for Name List Screening (NLS) & Transaction Screening (TS) - Model Strats Location London Corporate Title Vice President Group Strategic Analytics (GSA) is part of Group Chief Operation Office (GCOO) which acts as the bridge between the Bank’s businesses and infrastructure functions to help … deliver the efficiency, control, and transformation goals of the Bank. You will work within the wider GSA Control Strats team and lead model development across NS and TS. This includes supporting incumbent models and designing, building and deploying new state-of-the-art (SOTA) models. You will bring strong ...

stakeholders to understand business problems and define analytical approaches Leading data discovery sessions and gathering requirements from subject matter experts Presenting insights, recommendations and model outputs to both technical and non-technical audiences Monitoring, refining and retraining models to ensure ongoing performance Collaborating with analysts, project managers and industry … Science experience within predictive modelling Advanced Python and SQL skills Experience building classification, regression and clustering models from the ground up Strong understanding of model performance, validation and optimisation Confident communicating insights to technical and non-technical stakeholders Experience with modern cloud and data platforms such as Databricks ...

Schroders is seeking a Quantitative Risk specialist to participate in model validation across asset classes. You will produce clear reports, present risk findings to the governance committee, and help develop risk models and tooling with a focus on automation and transparency. The role requires postgraduate quantitative training, strong ...

Canary Wharf is seeking a research-driven analyst to track market-moving corporate events and extract insights from primary sources. You will validate model outputs, write research notes, and present to clients, balancing speed with accuracy in a fast-moving environment. Candidates should have a strong finance interest ...

pipelines — from data ingestion to training to production inference Collaborate with engineers to integrate models into real-time energy management systems Continuously improve model performance — experimenting, validating, and iterating Help shape the ML roadmap and identify new opportunities to apply AI across the business Qualifications An ML Engineer with ...

attention to statistical robustness, overfitting and transaction costs Work alongside portfolio managers, traders and engineers to take research from prototype into production Monitor live model performance and investigate divergence between expected and realised behaviour Teams operate across the full frequency spectrum, from high-frequency and intraday through to medium ...

bring together ideas from machine learning, econometric choice modelling and mathematical psychology. You will investigate how large language models, optimisation algorithms and automated model search methods can support researchers in constructing robust behavioural models without replacing scientific judgement. The emphasis is on interpretable AI processes that complements econometric theory ...

entering a pivotal phase of growth and technological advancement. Its solutions are already being embedded into generative AI pipelines, delivering measurable improvements in model performance, while also addressing the rising energy demands of large-scale AI adoption. With a focus on practical deployment and a clear roadmap to fault ...

want to find out more about life at Paysafe, check out our careers page here. How we work: We follow a hybrid working model, spending an average of three days per week at our office location. We are open to this role being based in either our London … models Representation learning & embeddings Autoencoders and anomaly detection Graph/network-based models Semi-supervised and weakly supervised learning Own the end-to-end model lifecycle: problem framing, feature representation, model development, validation, deployment, monitoring, and iteration. Partner closely with Risk Strategy, Operation, MLOps and Data Engineering ...

using statistical and machine learning techniques, with a focus on probabilistic approaches. Contribute across the modelling lifecycle from feature engineering and training through to validation and deployment. Data Work: Query, clean and explore datasets using Python and SQL to surface patterns and support model development. Data Pipelines: Help … often built around specific sporting events, meaning fixed deadlines and go-live support requirements that you will help to provide. Quality & Rigour: Apply good model development discipline through version control, testing and documentation. What You’ll Bring Passion for Sport: You follow sport closely and understand the context ...

Sanctions and KYC/CDD and collaborate with the controls teams to contribute to the assessment of current controls, data, systems and operating model; define target state and prioritized delivery plan. Sponsor and drive the delivery of AI/technology‐enabled controls, automation/robotics use cases and oversee … technology implementation lifecycle requirements, data readiness, model development, validation, testing, deployment, adoption, and continuous performance optimization. Provide senior oversight of financial crime risks across high‐risk corridors and complex cross-border payment flows. Collaborate with the Payments teams to lead the enhancement of controls for crypto/digital ...