1 to 25 of 63 Remote/Hybrid Model Validation Jobs in England

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 ...

proud of. And you can play your part too join our dedicated Risk division on a 12 month fixed term contract as a Model Validation Specialist and play an important part in that purpose by providing independent, expert challenge across the models that help us understand credit risk … make sound decisions and meet regulatory expectations. How you'll make a difference You will perform independent model validation reviews and oversight of the Society's residential mortgage IRB and other credit-related models to ensure they are conceptually sound, appropriately implemented, and are compliant with internal policies ...

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 ...

solutions aligned to Army training objectives and enterprise architecture principles. Support the development and maintenance of ML pipelines including data preprocessing, feature engineering, model training, validation, and performance evaluation. Support integration of AI capabilities into secure operational environments, ensuring compatibility with DevSecOps pipelines and platform constraints. Monitor deployed … candidate will support the development and integration of AI/ML models aligned with Army training goals and OMNIA architecture, assisting with data preparation, model evaluation, and workflow automation. They will collaborate with technical teams, document processes, monitor model performance, and contribute to ethical AI practices. The role ...

models from experiment design to deployment and monitoring. You will have the freedom to innovate with data, methodologies, and tools to streamline model development. You will work across all Borrowing products and influence product and credit strategy. Responsibilities Collaborate with Credit Strategy Managers, Model Validation Analysts, Backend … Engineers, and Product Managers to integrate model development into the product roadmap. Own several ML applications from experiment design to deployment and monitoring. Decide on impactful topics across Borrowing products and deliver solutions. Technology Stack Google Cloud Platform for analytics; BigQuery, SQL and dbt for data modeling; PyData stack ...

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 ...

capability, including data modelling, DAX, dashboard design, report optimisation, and clear visual storytelling. Advanced Excel skills, including Power Query, complex formulas, structured modelling, data validation, and scenario analysis. Experience building data pipelines, automated data flows, APIs, cloud‐based solutions, or AWS‐enabled automation would be highly beneficial. Experience deploying ...

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 ...

requirements into analytical solutions and actionable insights. Experience creating dashboards, self-service reporting, and visualisations that support decision-making. Desirable: Experience with data governance, model management, and analytics best practices. Professional certifications in data management, analytics, business intelligence, or related disciplines (e.g. DAMA International or equivalent). This ...

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 ...

cleared candidates Duration: 6 months initially Clearance: SC Cleared/SC Eligible Role Overview Our client is seeking a highly experienced Power System Network Model Engineer with expertise in Transmission EMS Network Modelling and Power System Applications. You will be responsible for enhancing, maintaining and validating the EMS Network … Model, ensuring accurate representation of transmission assets, network topology, connectivity, telemetry and operational equipment. The role supports critical EMS functions including Network Topology Processing, State Estimation, Load Flow Analysis, Contingency Analysis and Real-Time Operations. Key Responsibilities Develop, maintain and enhance Transmission EMS Network Models. Create and manage device ...

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 ...

customer outcomes, enhance commercial performance & support strategic business decision making. Own the complete analytical lifecycle, from initial problem definition & exploratory analysis through feature engineering, model development, deployment, operational monitoring & continuous optimisation. Build sophisticated statistical & machine learning models covering areas such as: * Customer Lifetime Value * Customer Propensity Modelling * Customer Churn … best practice in data science & software engineering Responsibilities: * Take ownership of the complete data science lifecycle, including problem definition, exploratory data analysis, feature engineering, model development, validation, deployment & ongoing optimisation. * Design & execute statistically rigorous analytical approaches, including hypothesis testing, experimental design, uncertainty measurement & business impact assessment. * Develop sophisticated ...

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 ...