76 to 100 of 260 Model Validation Jobs in the UK

stakeholder management across Front Office, Risk, Technology, and Finance.Demonstrated ability to combine strategic thinking with practical execution.Deep experience working with Quants, Market Risk, Model Validation, and regulatory stakeholders.Robust technical grounding, with the ability to rapidly understand highly-detailed architectures, data flows, and system integrations.Experience across the full SDLC ...

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 ...

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 ...

users. Key responsibilities Lead the scoping, design and delivery of complex data science products, models and analytical solutions. Set standards for modelling, validation, reproducibility, coding, documentation and responsible AI practices. Identify opportunities to apply machine learning, predictive analytics, optimisation or advanced statistics to business challenges. Guide data scientists, analysts … science practice. Essential skills and experience Extensive experience designing and delivering advanced data science solutions at scale. Deep understanding of applied statistics, machine learning, model validation and data science product delivery. Strong programming capability and ability to set coding, testing and reproducibility standards. Experience working with data engineering ...

Science teams deploy, monitor, retrain and govern models reliably at scale—from the ground up.Key Responsibilities ML Infrastructure & Deployment (40%): Build automated pipelines for model training, validation and deployment, plus model registries, feature stores and inference services, with self-serve tooling for Data Science teams.Model Monitoring & Operations … recovery for ML workloads—covering latency, data quality and drift—and own rollback, rollout and incident response.MLOps Governance & Best Practice (20%): Establish controls for model lineage, reproducibility and audit trails, and introduce ML-specific CI/CD, testing and release automation.Collaboration & Enablement (10%): Partner with Data Science, Data Engineering ...

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 ...

outset.Your role operates in a high-intensity, time-critical environment and requires the ability to maintain deep experience working with Quants, Market Risk, Model Validation, Finance, and regulatory stakeholders.Responsibilities:Have responsibility for and drive end-to-end delivery of the FRTB IMA programme, with full accountability for outcomes ...

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 ...

providing excellent service to internal and external customersPartner with Product, Application Specialists, and Sales to thoroughly understand our client’s workflows to further our model engine, improve our product offering, and provide client support for advanced risk analytics and valuationsResearch industry standards, trends, and best practices on financial analytical ...

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 ...

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 … 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 ProcessTalent Team Screen (30 minutes)Take ...

ready insights grounded in trusted data and established metrics. About the role: We are seeking a Data Scientist III 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 ...

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 ...

JPMorgan Chase & Co. is seeking a Quant Modeling Associate/Vice President in their Model Risk Governance and Review team. This role involves assessing and mitigating model risk for electronic trading models while providing exposure to a range of business areas. Ideal candidates will hold a Master … quantitative field and possess strong experience in model validation and electronic trading. The position requires excellent communication skills and proficiency in Python. #J-18808-Ljbffr ...

rolling out and leading Layout Integration and BIM methodology from concept to the delivery phase to JOB1 + 90 days. Key Performance Indicators Efficiency: Model coordination reviews completed to programme schedule. Timing: L1-L5 reviews completed to gateway timing. Delivery: BIM deliverables issued in accordance with programme requirements. Digital … 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 ...

analytics, and integration layers. This role is critical to enabling the organisation to move from fragmented, siloed data to a coherent, governed enterprise data model that powers scalable growth. This is a full-time position for an initial 3-month contract, for a Q3 start date. Responsibilities Define, evolve … firm's core buy-side data domains: positions, valuations, transactions, orders, client/AUM data, reference data, ESG/RI data, and benchmarks. Model the investment lifecycle end-to-end: order generation, execution, allocation, settlement, corporate actions, performance attribution, and accounting impacts (IBOR/ABOR). Establish clear semantics ...

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 ...

rolling out and leading Layout Integration and BIM methodology from concept to the delivery phase to JOB1 + 90 days. Key Performance Indicators: Efficiency: Model coordination reviews completed to programme schedule. Timing: L1–L5 reviews completed to gateway timing. Delivery: BIM deliverables issued in accordance with programme requirements. Digital … 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 ...

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 ...

integrations, serving as a reliable liaison who can translate between technical and business contexts• Support change management activities for new system implementations, including testing, validation, and documentation of updated processes• Contribute to process improvement initiatives identifying inefficiencies in existing workflows and proposing practical, scalable solutionsBasic qualifications- Bachelor's degree ...

least 5 years of experience as a Business Analyst in Quant Risk Functional/Technical Competencies: THE BANK counterparty credit risk uses an advanced model for PFE so the BA needs to be quantitative and familiar with these advanced tools. THE BANK use a vendor based calculation engine ...

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 ...