1 to 25 of 45 Remote/Hybrid Model Validation Jobs in London

rapidly across both existing products and with the planned launch of new initiatives. As our lending portfolio grows, our second line of defence Credit Model Validation team is growing with it - and we’re looking for a Credit Model Validation Manager to join us!Our Credit … Model Validation team is crucial in providing independent oversight and challenge to our model development teams in the first line of defence to help Monzo grow safely and ensure that the models we use deliver good outcomes for our customers. We’re looking for someone (maybe ...

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 ...

join its 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 roleYou 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 behaviour under extreme ...

# 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 ...

driven solutions within a complex, enterprise-scale environment. This is an exciting opportunity to lead testing strategy across cutting-edge AI systems, ensuring robust validation, strong governance, and continuous quality improvement across digital platforms. The Role As a Senior Test Engineer, you will operate at a strategic level, shaping … testing approaches for AI and data services while remaining hands-on across automation, validation, and delivery pipelines. You will: Lead the design and execution of end-to-end test strategies across AI and digital programmes Ensure quality across AI models, data pipelines, APIs, and cloud-based services Embed test ...

driven solutions within a complex, enterprise-scale environment. This is an exciting opportunity to lead testing strategy across cutting-edge AI systems, ensuring robust validation, strong governance, and continuous quality improvement across digital platforms. The Role As a Senior Test Engineer, you will operate at a strategic level, shaping … testing approaches for AI and data services while remaining hands-on across automation, validation, and delivery pipelines. You will: Lead the design and execution of end-to-end test strategies across AI and digital programmes Ensure quality across AI models, data pipelines, APIs, and cloud-based services Embed test ...

science, setting best practices and standards across the organization Mentor and guide junior and senior data scientists, fostering a high-performance, collaborative team environment Model Development & Deployment Develop and deploy machine learning models for use cases such as: Fraud detection Credit risk modeling Customer segmentation and personalization Forecasting … adoption Data Strategy & Governance Support the development of data strategy frameworks, ensuring alignment with regulatory and compliance requirements Promote best practices in data governance, model validation, and ethical AI usage Qualifications Required Background: MSc or Higher in Artificial Intelligence, Computer Science, Data Science, or a closely related discipline ...

decide what are the most impactful topics to work on, and how to deliver them. You will work closely with our Credit Strategy Managers, Model Validation Analysts, Backend Engineers, and Product Managers, to fit your model development into the product roadmap. You are also empowered to think … them):Google Cloud Platform for all of our analytics usages BigQuery SQL and dbt for our data modelling and warehousingPyData stack for model development and offline deploymentGoogle Vertex AI platform for cloud computingAWS for backend infrastructure Python for ML model microservicesGo lang for most other microservicesAI toolings ...

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 for services … 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. ...

Monzo.This role combines near-term commercial impact with long-term strategic advantage:improving performance across our range of productsunlocking new data and faster model developmenthelping Monzo build underwriting that scales into new marketsshaping how advanced ML and AI can create real value in BorrowingYou’ll partner closely with leaders … across Credit Strategy, Product, Engineering, Model Validation, Data, and Platform, and influence decisions that shape both business performance and the long-term architecture of credit decisioning at Monzo. What you’ll ownBorrowing ML roadmaps across UK optimisation, new customer segments, and EU expansionFaster model improvement through ...

analytical or data science experience within credit risk or broader financial institutions, with exposure to developing predictive models. Knowledge on principles of credit risk model development, including scorecard, Basel/IRB or IFRS9 modelling (PD, EAD, LGD, etc.). UK retail lending experience. In-depth knowledge and understanding … statistical aspects (especially these which are used in Credit Risk-Basel modelling): Logistic-Linear Regression, Scorecard development model validation approaches (GINI coefficient KS- statistics) Data sampling Data mining model maintenance frameworks. Excellent analytical skills and a strong attention to detail. A qualification in a degree with relevant ...

will work at the forefront of algorithmic trading, where your research and engineering directly shape market outcomes.* You can expect a hybrid working model with 3 days in the office and 2 days working remotely, giving you flexibility alongside meaningful team collaboration.* You'll thrive in a collaborative, performance ...

offerYou will work at the forefront of algorithmic trading, where your research and engineering directly shape market outcomes.You can expect a hybrid working model with 3 days in the office and 2 days working remotely, giving you flexibility alongside meaningful team collaboration.You'll thrive in a collaborative, performance-driven ...

integrity, transformations, and large datasets across complex environments. Hands-on expertise with Azure Data Factory (ADF) and Azure DevOps, including ETL workflow testing, pipeline validation, test management, and defect tracking. Advanced SQL skills with the ability to write queries, interrogate databases, read schemas and tables, and perform data reconciliation ...

integrity, transformations, and large datasets across complex environments. Hands-on expertise with Azure Data Factory (ADF) and Azure DevOps, including ETL workflow testing, pipeline validation, test management, and defect tracking. Advanced SQL skills with the ability to write queries, interrogate databases, read schemas and tables, and perform data reconciliation ...

emerging area, so part of the role will be to shape the problem space by working with other teams to find, validate and model useful signals for participant quality. The ideal candidate will help define the right problems to solve, not just execute against a fixed brief. The Applied ...

internal initiatives.Support clients in navigating emerging AI regulations, standards, and guidance while enabling innovation and business value.Facilitate workshops, governance forums, risk assessments, and operating model design activities with senior stakeholders.Live in-person whiteboarding sessions to problem solve as a team, alongside asynchronous communication on Teams.Hybrid working with the team … Values | PA Consulting.QualificationsEssential requirements You must be an established consulting professional with experience delivering projects focused on AI governance, responsible AI, AI risk management, model governance, or emerging technology regulation within the private sector. Ideally, you should have experience consulting with Life Sciences, Government or Consumer & Manufacturing sector clients.Even ...

TeamJoin our Financial Risk Management (FRM) team, where we develop, validate, and enhance the methodologies that underpin Swiss Re's financial risk framework.Our Financial Model Validation & Methodologies team, based in London, Zurich, and Bangalore, works at the intersection of risk management, actuarial science, finance, and technology to strengthen … risk capture methodologies.Enhance risk systems to reflect evolving portfolio characteristics, market dynamics, and regulatory requirements.Contribute to the integrity of Swiss Re's Internal Capital Model, ensuring methodologies remain robust, transparent, and fit for purpose.Serve as a subject matter expert on market and credit risk methodologies, providing advice and insight ...

Financial Risk Management (FRM) team, where we develop, validate, and enhance the methodologies that underpin Swiss Re's financial risk framework. Our Financial Model Validation & Methodologies team, based in London, Zurich, and Bangalore, works at the intersection of risk management, actuarial science, finance, and technology to strengthen Swiss … methodologies. Enhance risk systems to reflect evolving portfolio characteristics, market dynamics, and regulatory requirements. Contribute to the integrity of Swiss Re's Internal Capital Model, ensuring methodologies remain robust, transparent, and fit for purpose. Serve as a subject matter expert on market and credit risk methodologies, providing advice ...

output into understandable and actionable business knowledge.Manage dataset creation including data extraction, derived and dependent variable creation, and data quality control processes for analytics, model development, and validation. Monitor execution of analytical solutions, including criteria specification, data sourcing, segmentation, analytics, selection, delivery, and back-end data capture results.Contribute … application of analytic output.Embed analytic programs and tools. Ensure continued accuracy, relevancy, and effectiveness and track process improvements once deployed.Ensure adherence to data and model governance standards that are set and enforced by industry standards and/or enterprise business unit data governance polices and leaders.May lead or provide ...

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 supporting and coaching more junior team members Requirements Proven financial markets experience, ideally within an investment bank or pricing ...

support transaction economics, hedging considerations and business reporting requirements. Provide portfolio performance monitoring and reporting, analysing actual versus forecast performance for closed transactions. Support model governance processes, including model testing, validation and maintenance of audit-ready documentation. Drive improvements in automation, controls and efficiency through enhanced tooling ...

guidance, including the EU AI Act, NIST AI Risk Management Framework, ISO/IEC 42001 and ISO/IEC 23894. Conduct AI risk assessments, model governance reviews, algorithmic impact assessments and responsible AI evaluations. Support AI lifecycle governance across model development, validation, deployment, monitoring, explainability, transparency, accountability … human oversight. Advise organisations on the governance implications of Generative AI, including data usage, intellectual property, security, privacy, bias and model risk. Facilitate workshops, governance forums and risk assessments with senior client stakeholders. Develop tailored AI governance approaches based on client business models, strategic objectives and regulatory requirements. Work ...

tissue characterisation, and semantic segmentation design and build the data pipelines that turn raw clinical recordings into structured, governed training datasets, supporting continuous training, model improvement, and re-validation cycles architect and operate the production ML stack, including model versioning, deployment, monitoring, drift detection, and rollback … cloud-enabled, regulatory-cleared surgical imaging platform establish and maintain MLOps best practices, including reproducible training, dataset governance, experiment tracking, model documentation, that scale across multiple algorithms, sensors, and clinical indications mentor more junior research scientists and engineers identify and surface novel features in support of patenting activities work ...

customised neural networks, training strategies, loss functions and evaluation metrics. Implement and adapt techniques from recent AI and computer vision research. Build scalable training, validation, evaluation and inference pipelines. Optimise models for accuracy, robustness, latency and deployment across cloud and edge platforms. Translate research outputs into maintainable, production-quality … experience will also be considered. Strong knowledge of CNNs and modern computer vision techniques. Experience designing, modifying or adapting neural network architectures. Experience with model training, validation, hyperparameter optimisation and performance evaluation. Experience implementing techniques from recent AI or computer vision research. Experience delivering reliable AI systems into ...