251 to 275 of 419 Model Validation Jobs in the UK

comprehensive AI governance frameworks that ensure the ethical, responsible, and compliant use of AI technologies across the organization. You will leverage your expertise in model risk management and regulatory compliance to influence strategic decisions and operational plans, ensuring alignment with both business objectives and regulatory standards. Your role involves … ensure compliance with evolving regulatory standards and internal guidelines Lead the identification and mitigation of risks associated with AI/ML models, ensuring robust model risk management throughout their lifecycle Oversee the validation and monitoring of AI/ML models to ensure accuracy, fairness, and compliance, utilizing advanced ...

Barclay Simpson is recruiting a Senior Model Risk Analyst in London to own the end-to-end model risk management for a defined subset of models within a broader inventory. You will validate, monitor and review changes, and report findings to senior management. You will benchmark designs, review ...

management, analytics, business judgement, and industry benchmarks to change the way Vantage builds infrastructure. What You Will Own You will shape the performance data model for Vantage’s global infrastructure products and maintain the controlled data foundation behind Product Performance: the integrated WBS, cost, schedule, and benchmark data structures … source metadata, mappings, and refresh controls; validation and reconciliation routines; and the repeatable reporting built on top. You will keep the foundation auditable, refreshable, and capable of supporting product performance analysis over time, and you will work with Developers and IT to progressively tool and automate it. Your work ...

management, analytics, business judgement, and industry benchmarks to change the way Vantage builds infrastructure.## **What You Will Own**You will shape the performance data model for Vantage’s global infrastructure products and maintain the controlled data foundation behind Product Performance: the integrated WBS, cost, schedule, and benchmark data structures … source metadata, mappings, and refresh controls; validation and reconciliation routines; and the repeatable reporting built on top.You will keep the foundation auditable, refreshable, and capable of supporting product performance analysis over time, and you will work with Developers and IT to progressively tool and automate it.Your work will ...

churn, conversion, and cross-sell Customer segmentation using k-means or advanced clustering techniques Own end-to-end data workflows: feature creation, data wrangling, model tuning, validation, deployment, and monitoring Architect your own datasets where needed — merging structured and semi-structured data to power robust insights Operationalise models ...

maturity deposit modelling, deposit beta estimation, repricing lags, and volume flow projections under different macro scenarios and interest rate environments. Establish rigorous backtesting, model performance monitoring, and data quality frameworks to continuously evaluate model accuracy, identify potential drift, and refine behavioural and forecasting assumptions. Develop and uplift models … reflect evolving business needs, maintain model documentation and implementation, and support regulatory inquiries and second-line model validation. Deliver clear presentations and explanations related to balance sheet management for discussion with senior managers, committees, and key stakeholders. Qualifications Excellent academic background in a quantitative field such as mathematics ...

Principal Technical Specialist - Simulation (R&T) to lead the development of plant models for electrical motors, power electronics, batteries and mechanical components in a model-based simulation environment. You will optimize parameters to meet flight-cycle requirements and validate models using test data. You will provide technical guidance, contribute ...

lead the development of plant models for electric propulsion systems and power electronics. You will work in a fast-growing R&T team, building model-based simulations in MATLAB/Simulink to optimise performance of e-motors, gearboxes, batteries and power electronics. You will validate models with rigorous testing ...

presenting conclusions to relevant stakeholders. Deep expertise in data governance frameworks (e.g. DAMA DMBOK, DCAM) and AI governance,modelrisk management, and AI model testing and validation methodologies, including familiarity with emerging regulatory and industry standards (e.g. EU AI Act, NIST AI RMF,PRA SS1/ ...

variation in scanners, acquisition protocols and disease phenotypes; undertake quality control and failure analysis; improve segmentation, feature extraction and prediction pipelines; and establish reproducible validation workflows. You will work closely with radiologists, pulmonary vascular clinicians, clinical scientists and statisticians to link RAIDA‐derived imaging biomarkers with right‐heart catheterisation … including appropriate domain‐adaptation, semi‐supervised or related approaches where these add value. Design and perform rigorous training, testing and hold‐out/external validation, including repeatability, calibration, subgroup performance, bias assessment, quantitative segmentation metrics and clinically relevant diagnostic/prognostic performance measures. Undertake systematic image review, quality control ...

scalable data pipelines to ingest, transform and process large and complex datasets. Develop automated web scraping and bulk data acquisition workflows. Implement data transformation, validation, testing and quality controls to ensure datasets are reliable, reproducible and ready for analysis. Build and maintain containerised data and analytics applications, including dashboards … equivalent professional experience in data engineering, data science or cloud development. A strong understanding of data engineering best practices, including data modelling, transformation, validation, testing. Experience working collaboratively within multidisciplinary teams. Strong communication skills, with the ability to explain technical work clearly and engage with non‐technical audiences. ...

data pipelines to ingest, transform and process large and complex datasets. Develop automated web scraping and bulk data acquisition workflows . Implement data transformation, validation, testing and quality controls to ensure datasets are reliable, reproducible and ready for analysis. Build and maintain containerised data and analytics applications , including dashboards … equivalent professional experience in data engineering, data science or cloud development . A strong understanding of data engineering best practices , including data modelling, transformation, validation, testing. Experience working collaboratively within multidisciplinary teams . Strong communication skills, with the ability to explain technical work clearly and engage with non-technical ...

data pipelines to ingest, transform and process large and complex datasets. Develop automated web scraping and bulk data acquisition workflows . Implement data transformation, validation, testing and quality controls to ensure datasets are reliable, reproducible and ready for analysis. Build and maintain containerised data and analytics applications , including dashboards … equivalent professional experience in data engineering, data science or cloud development . A strong understanding of data engineering best practices , including data modelling, transformation, validation, testing. Experience working collaboratively within multidisciplinary teams . Strong communication skills, with the ability to explain technical work clearly and engage with non-technical ...

successful candidate will work with experienced colleagues to run models, test outputs, support regular assumption setting and scenario generation processes, and contribute to model development. What will you be doing? The successful candidate should be able to undertake, or be keen to develop capability in, most of the following … Lead or manage asset-liability modelling work for client projects, including model runs, analysis, output review and communication of results, this may include direct client‐facing presentations Develop, maintain and improve asset modelling tools for monitoring, portfolio analysis, strategic investment modelling and client reporting Calibrate the Economic Scenario Generator ...

successful candidate will work with experienced colleagues to run models, test outputs, support regular assumption setting and scenario generation processes, and contribute to model development. What will you be doing? The successful candidate should be able to undertake, or be keen to develop capability in, most of the following … Lead or manage asset-liability modelling work for client projects, including model runs, analysis, output review and communication of results, this may include direct client-facing presentations Develop, maintain and improve asset modelling tools for monitoring, portfolio analysis, strategic investment modelling and client reporting Calibrate the Economic Scenario Generator ...

Nationwide in Swindon is seeking a Risk Analyst to support independent validation of business-critical models within our Financial Risk Oversight function. The role involves applying statistical techniques, conducting independent reviews of model developments, and ensuring compliance with regulator Model Risk Management principles. You will present findings ...

codebases where high-level technical hurdles require expert intervention. Define and drive the software V&V and test automation strategy, building infrastructure for continuous validation and championing design for testability across the engineering stack Establish compliance-as-code workflows that map verification evidence to IEC 62304 (Class … Azure) Nice to have: Experience with hardware-in-the-loop or software-in-the-loop test environments Exposure to MLOps, including model drift validation, dataset governance, and automated performance evaluation and deployment of organisational AI strategy Experience with cybersecurity requirements (e.g. IEC 81001-5-1, FDA cybersecurity guidance ...

internal data science capability. This newly created leadership role will oversee the transfer of technical knowledge and ownership from a specialist external partner, strengthen model management and governance, and develop the internal team as the function grows. Combining deep technical expertise with strategic leadership, you will shape the organisation … evidence of progress and value to strategic and due diligence discussions. Key Responsibilities Take end-to-end ownership of four predictive models, covering development, validation, deployment, monitoring, documentation and optimisation. Remain technically hands‐on, working directly with data, code and modelling tools to resolve issues and improve model ...

Desirable experience Regulated, safety-critical, medical device or digital-health software experience. Healthcare interoperability knowledge, including HL7 FHIR or UK Core. Workflow orchestration, SQL, model-serving or data-validation experience. Familiarity with infrastructure as code and regulated software lifecycle standards. How we work You will join a multidisciplinary ...

accountability, transparency, explainability, contestability, privacy, safety, security, robustness, humanoversightand monitoring. Conduct AI and algorithmic impact assessments, including ethical risk, equality considerations, privacy, data protection, model/system risk, operationalriskand potential harm. Define AI assurance approaches, including assurance cases, evidence requirements, model/system evaluation, testing, validation, monitoring … Advise clients on AI governance structures, including AI boards, risk triage, decision rights, accountability models, approvalgatesand lifecycle controls. Support documentation and transparency activities, including model cards, system cards, assurance packs, riskassessmentsand Algorithmic Transparency Recording Standard submissions where relevant. Review AI-enabled products, vendor tools, automation solutions, decision-support systems ...

risk costs (frequency, severity and pure premium) as accurately as possible using state-of-the-art techniques. Ensure rigorous data cleansing and preparation, validate model outputs against financial results and portfolio performance, produce comprehensive documentation, and actively incorporate feedback from key stakeholders (Portfolio, Reserving and Underwriting) to refine … life Actuarial Type: Permanent Key Responsibilities (including but not limited to): Own the end-to-end modelling lifecycle: problem framing, data build, feature engineering, model development, validation, documentation Build and maintain risk and price models using GLMs and machine learning Translate models into implementable rating structures Strong governance ...

between data, business capabilities, processes, applications, integrations and technology components. Develop application and technology architecture views where required to support data architecture and traceability. Model Microsoft Azure environments and services relevant to enterprise data, including data platforms, integration, storage, identity, security and networking. Assess the data and architecture implications … Maintain traceability between requirements, data, applications, technologies, integrations, work packages, deliverables and implementation milestones. Capture and structure architecture and data requirements and support their validation and traceability. Identify data, application, integration and technology dependencies, gaps, duplication, risks and inconsistencies. Assess project and solution designs against agreed enterprise architecture principles ...

between data, business capabilities, processes, applications, integrations and technology components. Develop application and technology architecture views where required to support data architecture and traceability. Model Microsoft Azure environments and services relevant to enterprise data, including data platforms, integration, storage, identity, security and networking. Assess the data and architecture implications … Maintain traceability between requirements, data, applications, technologies, integrations, work packages, deliverables and implementation milestones. Capture and structure architecture and data requirements and support their validation and traceability. Identify data, application, integration and technology dependencies, gaps, duplication, risks and inconsistencies. Assess project and solution designs against agreed enterprise architecture principles ...

identifying root causes and working with relevant teams to resolve them Build and maintain Python-based data workflows and pipelines for ingestion, transformation and validation of modelling data Maintain and develop historical data assets, ensuring they remain accurate, accessible and fit for analytical use Work with engineers to improve … upstream and downstream data flows, ensuring critical data is captured and processed effectively Ensure data quality and integrity through validation, reconciliation and targeted monitoring across key datasets Expand visibility into data issues by improving checks, alerts and investigative workflows across critical pipelines Define and improve data logic, transformations ...

data and metadata models. Develop Python solutions using Pydantic and FastAPI . Configure and enhance Collibra asset models and governance workflows. Build reusable automation, validation and integration components. Work with REST APIs, JSON, YAML and SQL. Support data quality, lineage, taxonomy and metadata management. Collaborate with technology, architecture, risk … GitHub Copilot, ChatGPT or Claude responsibly. What were looking for Strong senior-level Python development experience. Hands-on experience with Pydantic for data modelling, validation and schema design. Experience with FastAPI, REST APIs, JSON, YAML and SQL . Strong understanding of data modelling, metadata, data governance and data quality ...