1 to 25 of 60 Permanent Model Validation Jobs in the UK excluding 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 ...

change lives through Monzo ️London/UK Remote | ð71,400 - 90,000 (depending on experience) + Incentive Awards tied to your performance + BenefitsOur Model Oversight teamThe second line of defence Model Oversight team (that’s us!) provides support to our colleagues in Borrowing, Fincrime & Fraud, Finance … Operations to help Monzo grow safely. We’re looking for a FinCrime Model Validation Manager to help ensure the Fincrime/Fraud models we use are not only good for Monzo but what's best for our customers.ðYou’ll play a key role by...Build relationships with first line ...

solver, organised, proactive, pragmatic and an excellent team player? Are you seeking an opportunity to develop and grow your professional value in a dynamic Model Development Team? What is the role This role is positioned within the IFRS9 Team in Risk Analytics as a Senior Quantitative Risk Analyst. … models appropriately capture the risk dynamics within the portfolio. Contributing to the standards, methodologies and toolsets required to perform analytic activities. Design of model methodology and automation of model development processes. The extraction and cleansing of data, statistical analysis to support model specification, segmentation, and factor selection ...

decisions without relying on cloud infrastructure or continuous data transmission. This is not a supervised learning problem on tabular business data. This is not model serving from a GPU cluster. This is embedded machine learning in its most demanding form: taking sophisticated sensor-based classification systems and making them … unpredictable behaviour of systems deployed in the real world. Your job is to transform this stream into a robust, real-time classification model that runs on hardware with severe constraints on memory, computation, and power. Engineering Under Constraint. Every machine learning decision you make has downstream consequences for embedded ...

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 ...

deployed analytics architectures. Advanced modelling techniques – including integrating previous pre-trained models with simulations or other advanced modelling. Awareness of different solutions for model management that includes model building and deployment. Determines and executes model validation, reproducibility, and deployment criteria. Ability to get results fast - leveraging ...

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 ...

through code reviews, technical design, and pairing with peers and junior engineersEstablishes and operates Responsible AI controls in production (guardrails, evaluation frameworks, observability, and model risk controls) to firm-wide standardsActs as a primary technical partner to IPB business stakeholders, surfacing new AI/ML opportunities and shaping them … services technology, particularly wealth, private banking, or asset managementExperience with Databricks, Kubernetes, or comparable ML/cloud platformsExperience designing or contributing to AI governance, model validation, or guardrail frameworksFamiliarity with JPM-internal AI/ML infrastructure and governance for internal candidatesJ.P. Morgan is a global leader in financial ...

will be responsible for:Owning the end to end development, execution and maintenance of IFRS 9 models.Working closely with stakeholders to ensure that model developments meet business requirements.Producing detailed model documentation, including methodology, assumptions, and limitations.Monitoring model performance and conducting regular reviews to ensure accuracy and stability.Collaborating … with model validation teams to address any findings and ensure models are robust.RequirementsIdeally a minimum 5-10 years’ experience in developing impairment models.Strong experience in team leadership roles. Proficient in the use of analytical tools, specifically Python. Graduate level education preferable, ideally in a numerical degree ...

sensing systems Applied mathematics and optimisation Data analysis and statistical inference Algorithm development and evaluation Decision-support and analytical methods Digital engineering and model-based approaches Emerging technologies, including quantum-enabled methods where appropriate Experimental analysis and model validation You will typically work as part of multidisciplinary ...

through code reviews, technical design, and pairing with peers and junior engineersEstablishes and operates Responsible AI controls in production (guardrails, evaluation frameworks, observability, and model risk controls) to firm-wide standardsActs as a primary technical partner to IPB business stakeholders, surfacing new AI/ML opportunities and shaping them … services technology, particularly wealth, private banking, or asset managementExperience with Databricks, Kubernetes, or comparable ML/cloud platformsExperience designing or contributing to AI governance, model validation, or guardrail frameworksJ.P. Morgan is a global leader in financial services, providing strategic advice and products to the world’s most prominent ...

create value, then design, build, and ship the solutions that realise it. You will operate at the front of the team's engagement model: turning ambiguous, surfacing opportunities into scoped, working agentic AI and machine learning solutions, and partnering with the core AIML team to productionise and scale what … occasional international travel, as engagements benefit from itExperience within financial services, particularly wealth, private banking, or asset managementExperience designing or contributing to AI governance, model validation, or guardrail frameworksFamiliarity with JPM-internal AI/ML infrastructure and governance for internal candidatesJ.P. Morgan is a global leader in financial ...

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 ...

governance. Highest-signal resume keywords Data Science Machine Learning Python GCP Native Tools Data Analysis ATS Optimization Keywords Hard Skills Data Analysis Customer Analytics Model Building Forecasting Segmentation Data Visualization Statistical Analysis Data Governance Performance Optimization Financial Metrics Soft Skills Intellectual Curiosity Influencing Stakeholders Collaboration Challenging Status Quo User ...

simplify how the firm handles financial regulatory reporting. We are creating a unified, scalable cloud-based platform using common data models and reusable validation and exception workflows to replace fragmented legacy processes. Engineers on the team leverage cutting edge AI tooling to accelerate development of automated workflows to ensure ...

within Investment Banking or Global Markets environments. Experience testing workflow, task management or case management systems. Exposure to AI, Machine Learning or Large Language Model solutions. Experience validating AI-driven classification, routing or decision-making workflows. Experience with Oracle, Hadoop and Elasticsearch. Familiarity with observability and monitoring platforms. Knowledge ...

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 ...

cadences that strengthen data literacy and adoption across the Surgery organization.3) Data Governance, Risk, and Compliance-by-DesignBuild and operationalize an enterprise-grade governance model for Surgery data and AI (policies, controls, decision forums, stewardship), aligned to a federated model and consistent data management practices.Ensure privacy-by-design … solutions.Establish audit-ready processes for critical workflows (access controls, traceability, and monitoring) and partner with Cybersecurity, Regulatory Affairs, Legal, and Quality functions.4) AI Enablement & Model Lifecycle (From Pilot to Scale)Lead the end-to-end lifecycle for applied AI/ML/GenAI solutions: use case intake, feasibility, data ...

insights grounded in trusted data and established metrics.About the role: We are seeking a Senior Data Scientist I to help with the design and validation of Agentic AI-driven product capabilities within Protégé in PatentSight. This role focuses on defining what to build and why, leveraging machine learning … strategies, including hybrid search (semantic + lexical), and evaluation metrics (e.g., relevance, ranking quality).Analyse large-scale IP datasets to extract insights and improve model performance.Establish best practices for model evaluation, validation, and benchmarking.Translate experimental results into clear product recommendations and business impact.Collaborate with product, IP experts ...

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 ...

software.Collaborate across the company to guide the direction of Its (USB, I2C, I3C, UART, PCI) working with hardware, software, research and product teams.Architectural modeling, validation, microarchitectural definition, following standards bodies, and developing infrastructure enabling trusted platforms using hardware security methods.Work with customers, partners to identify and address security issues ...

software.Collaborate across the company to guide the direction of Its (USB, I2C, I3C, UART, PCI) working with hardware, software, research and product teams.Architectural modeling, validation, microarchitectural definition, following standards bodies, and developing infrastructure enabling trusted platforms using hardware security methods.Work with customers, partners to identify and address security issues ...

they can be applied to our products Operations: Optionally contribute to our AI infrastructure to help operate self-hosted open-source models Testing & Validation: Development of tooling to assist our Test Team in conducting evals against our many provider models to ensure we are continually optimising for quality ...