1 to 25 of 61 Remote/Hybrid Model Validation Jobs in London

Liquidity and Market Risk team. This is not a traditional liquidity reporting role. It is a hands‐on position focused on stress testing, model ownership, validation‐style testing and detailed analysis of model algorithms, code and data. The role would suit someone from a model risk … model validation, model governance or quantitative consulting background who enjoys getting into the technical detail. The role You will help manage and monitor a portfolio of critical risk models, ensuring they remain robust, reliable and compliant with internal model risk standards. You will test model ...

# ML Model Governance LeadFinancial Services — Model Risk ManagementHybrid · London £95,000–£130,000 42 days ago 13 interestedModel Risk ManagementMLOpsModel ValidationSR 11-7Python## Job DescriptionThe ML Model Governance Lead owns the framework, processes and tooling that ensure machine learning models deployed in production are accurate … fair, compliant and monitored — a role that is rapidly becoming mandatory in regulated industries and is emerging in all large enterprises as AI model risk becomes a board-level concern.In financial services, the SR 11-7 guidance has defined model risk management for decades. In 2026, that framework ...

Title: Senior Rates Pricing Quant – First Line Model Review Location: London (Hybrid: 3 days/week in-office) Contract Duration: 6-month Role Summary Sitting directly in 1st Line Core Strats, this role provides immediate impact on shaping and challenging non-linear Rates pricing models. The successful candidate will … senior quantitative modeller, conducting technical reviews, developing benchmark test suites in Python, and refining model documentation in LaTeX prior to formal 2nd line validation submission. Responsibilities We are seeking a modeller rather than a software developer. The successful candidate should be able to: Review and challenge model ...

single asset class, you’ll work across Rates, FX, Equity, Credit and Hybrid Derivatives , partnering with specialist quant teams to drive pricing model quality, governance and consistency. A key part of the role is acting as the technical lead for Hybrid Derivatives and cross-asset pricing models, including products … asset classes, as well as pricing models that incorporate multiple asset classes. The Role: Working closely with Front Office Quantitative Analytics, Trading, Quant Development, Model Validation, Risk, Finance, Technology and Control functions , you will: Lead the Front Office Model Review capability across multiple asset classes. Provide independent ...

Date Saturday 26 September 2026 Salary Range £122,009 - £143,540 Title: Senior Manager - Internal Model Method (IMM) Location: London HOURS: Full-time WORKING PATTERN: Our work style is hybrid, which involves spending at least two days per week, or 40% of our time, at one of our office … Front Office functions. Key responsibilities will include: Lead the development and enhancement of IMM methodologies for Counterparty Credit Risk. Deliver quantitative analysis supporting model approval and regulatory submissions. Engage with Model Validation, Audit and Regulatory stakeholders throughout the model lifecycle. Produce and maintain technical documentation, methodology ...

Wayve, you'll help deliver the value of our breakthrough autonomous-driving technology by ensuring that a core part of our it — the AI model — is released reliably, on time, and to the standard required for production. As our Model Release Manager … deterministic nature of ML with structure and disciplined release practices. We're looking for someone pragmatic, methodical, and system-minded — someone who understands how model releases fit into the broader engineering, evaluation, and product ecosystem, and who introduces the processes and systems needed to achieve stability, clarity, and business ...

data-labelling structures. Document data lineage, processes, business rules and control frameworks to provide transparency and auditability. Build and operate AI-monitoring controls covering model performance, fairness, bias, drift and validation. Support model-testing activities including hold-out testing, cross-validation and performance measurement. Contribute … analytics. Strong SQL and Python skills for data analysis, profiling and control development. Experience designing or operating data-quality rules, profiling routines or automated validation controls. Experience working with structured and unstructured datasets. Strong understanding of metadata concepts including classification, lineage, taxonomies and ontology modelling. Knowledge ...

proposals - to support management decision making and shaping better outcomes for our customers Leading second line assurance work on thematic reviews Collaborating with our model validation and model development teams to ensure understanding of the models that underpin our credit strategies Providing credit expertise and input into ...

agents, and shared skills; Accio, our centralised MCP server, which consumes other MCP servers and presents enterprise datasets through one governed interface; the AI model gateway and its routes to external model providers; and our Copilot services. Accio and Nexus matter most: both propagate permissions and data … than asserted. Your responsibilities Act as security design authority for AI systems, leading threat modelling, architecture review, and risk assessment for agentic applications, the model gateway, Accio, Nexus, and any novel or high-risk AI initiative, applying STRIDE, PASTA, MITRE ATT&CK, and MITRE ATLAS as appropriate. Define ...

data scientists and analysts, fostering a culture of continuous learning and methodological excellence within the team. Ensure robust documentation of modelling approaches, assumptions and validation procedures to support reproducibility and knowledge transfer. Communicate complex analytical findings to non-technical stakeholders through clear visualisations and executive summaries. In the first … scientific, agricultural, life-science or Crop Protection-related outcomes Strong knowledge of Python and relevant data science, analytics and modelling tools Strong understanding of model validation, robustness assessment and the interpretation of predictive-model performance Experience analysing complex datasets and translating findings into clear, actionable insights Experience ...

grow a cross‐functional team of software engineers (and closely partnered OR/data science specialists) Own technical direction and delivery for products that model, optimise, and operationalise solutions to disruption and crewing problems (e.g., recovery planning, re‐optimisation, what‐if analysis). Drive architecture and design decisions … down ambiguous problem statements, and define measurable outcomes and acceptance criteria. Collaborate with OR/optimisation experts to integrate solvers (e.g., Gurobi) and ensure model performance, correctness, explainability, and maintainability. Establish strong engineering practices: code review, automated testing, CI/CD, release management, incident response, and post‐incident learning. ...

risk appetite thresholds and working with management on appropriate mitigants. Present stress testing methodology, results and management actions to the Stress Testing Committee, Market Model & Methodology Committee and, where required, regulatory supervisors. Act as a key contributor to the model governance process for FX and rates derivatives pricing … models, providing independent market risk input to model validation and approval processes. Lead the development and enhancement of in-house risk analytics tools (Python-based Greeks calculators, P&L explain frameworks, scenario engines) to support real-time risk management of complex exotic and structured portfolios. Identify and elevate ...

teams to ensure models are fit for purpose, well-integrated, and aligned with business objectives. Partner with control functions including Market and Credit Risk, Model Validation, Audit, Finance and Legal to uphold sound governance and robust model oversight. Assess the risk and reward profile of modelling decisions … numerical methods, with the ability to solve analytical equations and design numerical schemes for complex financial contracts. Practical experience with Python for quantitative research, model development, or analytical workflows. Knowledge of financial products, investment instruments, and quantitative methods as applied in trading or risk management contexts. Clear and concise ...

toolset. Experienceworking in an Agile software development framework. Excellentworking knowledge of Data Build Tool (DBT) with a demonstrated ability indeveloping data models, contracts, tests, validation, and transformations Experienceworking with modern data distributed file formats (i.e., Parquet, Delta,Iceberg, Hudi) Demonstratedexperience with building data ingestion pipelines from REST API data ...

deep-learning framework (TensorFlow/PyTorch). You possess a solid grasp of core data science techniques (supervised/unsupervised learning, time-series, NLP, model validation) and the ability to innovate new algorithms. You apply a rigorous scientific and entrepreneurial mindset, translating complex business problems into a mathematical … framework and measuring model impact upon deployment. You are an exceptional communicator, adept at translating complex technical solutions into persuasive, actionable insights for senior and non-technical audiences. You contribute to team success by project planning, assessing technical feasibility, estimating delivery timelines, and achieving measurable outcomes. Our Interview Process ...

regulated environments. Tomorrow’s enterprise security landscape will not look like today’s. As AI adoption accelerates, organisations face novel architectural challenges, ranging from model manipulation and prompt injection to sensitive data egress and supply chain vulnerabilities. Success requires embedding security directly into the AI development lifecycle, ensuring systems … Build & Lifecycle: Knowledge of how to integrate security controls into the AI build process (DevSecOps for AI/MLSecOps), including data pipeline security, model validation, and secure API integration. Data Protection & Egress Control: Deep awareness of data privacy challenges unique to AI, including data loss prevention (DLP), data ...

revenue generating products. Develop and maintain design, naming conventions, dictionaries, lineage and metadata standards, collaborating with data quality teams to ensure models support validation rules. Partner with stakeholders across the business to translate complex data concepts and requirements into robust data products that customers want to purchase whilst contributing ...

solutions. Strong Salesforce administration, configuration, implementation and development experience. Experience delivering large-scale Experience Cloud implementations. Expertise in Salesforce customisation, security models, workflow approvals, validation rules and data management. Strong Apex development experience, including classes, controllers, triggers, Visualforce and web services. Experience developing Salesforce integrations using REST and SOAP ...

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 ...

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 ...

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 ...

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 ...