76 to 100 of 365 Model Validation Jobs in England

provide ongoing production support including incident triage and root-cause analysis. Own end-to-end delivery with Technology on implementation, testing and deployment. Drive model governance and continuous improvement in partnership with Model Validation, including documentation, controls, and ongoing performance monitoring. Required qualification, capabilities, and skills Advanced ...

features and analytical outputs through approved Fabric and Databricks data products, tables, APIs, search indexes, batch pipelines or product features. Maintain reproducible code, tests, model and data documentation, evaluation evidence and clear statements of limitations and appropriate use. Use AI agents and coding assistants responsibly to accelerate exploratory work … quality measures. Develop reusable pipelines in Microsoft Fabric and Databricks for entity resolution, enrichment, metadata, relationship mapping and data-quality monitoring. Run EDA and model development that increases the value of priority data assets for client intelligence, opportunity identification, pricing, matter analysis and other high-value use cases. What ...

Lorien in London is seeking an AI Assurance/Validation Practice Leader to head the AI Assurance and Validation capability within Financial Services. You will build and lead the team, shape GTM capability, and drive revenue while defining how model validation and second-line defence create … value for clients. The role requires a strong technical background in model risk management for AI/ML, a deep understanding of financial risks, and the ability to engage with auditors and regulators on global #J-18808-Ljbffr ...

Provide insight and thought leadership into the implementation of new models, analytic processes or systems approaches. Promote the adoption of industry best practice for model development, implementation and monitoring. Collaborate with stakeholders across the firm to identify opportunities to improve existing models/processes. Produce clear and coherent technical … regulatory guidelines including CCAR, CECL, DFAST, ICAAP. Good stakeholder engagement skills with an ability to collaborate with colleagues in other functions (business, risk and model validation). Self‐motivated and intellectually curious about both the role, supporting technologies and the wider bank. Benefits of working at Bank ...

business or user problems. Work with data engineers, analysts, developers and product teams to deliver usable data science solutions. Document methods, assumptions, limitations and validation results clearly and responsibly. Consider data ethics, privacy and security throughout the data science life cycle. Essential skills and experience Experience applying data science … methods to real-world problems. Good knowledge of Python, R or similar programming languages for analysis and modelling. Understanding of machine learning, statistical testing, model validation and performance metrics. Ability to prepare, clean and transform data for analysis and modelling. Ability to communicate technical findings and visualisations ...

join the London-based Capital Modelling team. In this hybrid role, you will support end-to-end capital modelling with emphasis on data preparation, model production, and output analytics, collaborating across Model Parameterisation and Risk functions. You will work on data validation, parameter updates, and governance documentation … contributing to regulatory submissions and model validation readiness. #J-18808-Ljbffr ...

models. Use data science techniques to support trading strategies and decision-making. Build, test and validate models using historical and live data. Continuously assess model performance and identify areas for improvement. Present analytical findings clearly to both technical and non-technical stakeholders. Contribute to the development of tools ...

data accuracy and business value. Technical Knowledge & Tools : Power BI or similar reporting and visualisation tools. Data warehouses, structured data models and data quality validation; Snowflake experience would be beneficial. Excel for analysis, modelling or data validation. Awareness of data governance, access controls and responsible data handling. Exposure ...

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 ...

large datasets with advanced knowledge of: Pivot Tables and Pivot Charts, Power Query, XLOOKUP and advanced lookup functions, Complex formulas and modelling techniques, Data validation and transformation, VBA/Macros (desirable) Ability to analyse datasets and synthesise insights from workshops, interviews and process observations. Strong communication skills, with ...

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 ...

provide ongoing production support including incident triage and root-cause analysis. Own end-to-end delivery with Technology on implementation, testing and deployment. Drive model governance and continuous improvement in partnership with Model Validation, including documentation, controls, and ongoing performance monitoring. Required qualification, capabilities, and skills Advanced ...

YouLend Limited in London seeks a Senior Decision Scientist to strengthen credit decisioning across markets and products. You will develop model-driven decisioning tools and lead validation, calibration, and monitoring of credit risk models and decision strategies, translating complex findings into actionable recommendations for senior stakeholders. This role ...

eligible for SC clearance. What We Are Looking For This is not a traditional QA role. You will own verification, validation, and assurance across models and integrated simulation systems, acting as the authority on whether systems are fit for use. Highly analytical and structured. Independent and evidence-driven. Willing … defending decisions about system credibility and fitness-for-purpose Key Technical Proficiencies Strong understanding of VV&A principles and frameworks as well as model and system validation approaches. Experience in validating simulation models, assessing fitness-for-purpose and producing structured validation evidence. Expert in test planning ...

standards, processes, and digital engineering methodologies across GME programmes. They will also be responsible for aspects of BIM development through time. Experience of federated model coordination, design review and clash detection processes. Support implementation of Common Data Environment (CDE), digital asset management and digital twin information management processes within … installation planning, logistics reviews, stakeholder engagement, and programme delivery activities Undertake reality capture and Scan-to-BIM activities including LiDAR scanning, point cloud processing, model validation using Navisworks, Revit and Verity As-built verification and digital record updates Contribute to lessons learned activities and continuous improvement of standards ...

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 … 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 ...

insights grounded in trusted data and established metrics. About the role: We are seeking a Senior Data Scientist I to help 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 … 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 ...

data validity Uncover trends in multiple sports datasets Build and maintain data-driven predictive models Research and apply novel modelling techniques Build and maintain model validation metrics to regularly track performance Have awareness of the limitations of any model output Have an understanding of statistical robustness ...

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 ...

optimized for large-scale distributed systems using a high-performance grid computing platform Leverage Python, SQL, and Snowflake to analyze, construct, and validate model inputs Document methodologies to support internal and external model validation and compliance processes What you should have M.S. or PhD in mathematics, physical ...

. The role will have a particular focus on treaty pricing , developing and maintaining models within Python and Tyche , alongside broader actuarial analysis and model development. You'll also work closely with underwriting, exposure and specialist teams to improve the modelling of complex risks and support wider business decision … making. Key areas of the role include: Treaty pricing and pricing model development * Building and enhancing models using Python & Tyche * Model validation, sensitivity analysis and governance * Developing and improving existing actuarial tools and processes * Working closely with underwriting and exposure teams * Applying statistical techniques to the modelling ...

Moody's Investors Service is seeking a senior AI/ML model risk professional to independently evaluate AI-enabled tools, agents and quantitative models used in credit rating activities. You will strengthen GenAI and agentic AI governance with rigorous validation, testing, and reporting. The role emphasizes production readiness ...

software development. What You'll Do Design, build, and maintain core components of the Panopticon framework using idiomatic Rust. Develop secure execution environments, multi-model validation pipelines, and intelligent filtering systems to prevent data leakage and policy violations. Extensively utilise LLMs, AI agents, and advanced coding copilots … verification, applied cryptography, or verifiable compute. Experience with sandboxing technologies (e.g., WebAssembly/Wasm, lightweight VMs, containers). Understanding of modern AI tooling, foundation model APIs, and deployment pipelines. Contributions to open-source Rust projects or AI development tools (please include links to relevant projects, GitHub repositories, or technical ...

scheduling, dependency management, error handling, alerting, and incident response - to ensure reliable and timely data delivery for the FinOps team. Apply data quality and validation frameworks to ensure accuracy, completeness, and freshness of cost and usage data across all cloud providers; instrument pipelines with observability tooling to surface issues … Build and maintain reusable data assets - curated datasets, aggregations, and data marts - that power FinOps dashboards, showback/chargeback reporting, and AI/ML model inputs. Microservices & Platform Feature Development Design and build modular microservices and APIs that expose FinOps data and AI/ML capabilities as reusable services ...

software systems , not just declarative pipelines or SQL-only workflows Proficiency in Go or Python (or similar general-purpose language) Experience with data modeling, validation, and transforming real-world data into usable formats BS in Computer Science, Engineering or Bioinformatics, or a related field, or equivalent practical experience Preferred ...