51 to 75 of 230 Model Validation Jobs in England

strong foundation in Natural Language Processing (NLP), Machine Learning, Transformer models and Generative AI, as well as proficiency in Python.ResponsibilitiesData collection, data analysis, model development, defining quality metrics, quality assessment of models and regular presentations to stakeholders.Creating production-ready Python packages for each component of data science pipelines (such … processing and model inference) and their deployment together with software engineering teamOptimizing and customizing Retrieval Augmented Generation (RAG) pipelines to meet specific project requirements that involve content ingestion, machine translation, and contextualized information retrievalIngesting, preprocessing, and transforming large-scale multilingual data to ensure high-quality inputs for downstream models.Building ...

London to join the Market Data and Integration team within Risk Analytics. The role will focus on workflow design, data pipeline requirements, integration patterns, validation controls, and operational improvements that support scalable risk analytics delivery. Responsibilities The Senior Product Analyst will work with product, financial engineering, data, technology, support … professional services, and client-facing teams to analyse requirements and design robust workflows for market data ingestion, enrichment, validation, transformation, integration, and delivery into Risk Analytics products and services. The role will translate business, analytical, and operational needs into clear specifications, data mappings, process flows, user stories, acceptance criteria ...

environments. Seeking Experience in most of the following: Python or similar scripting languages for data exploration and preparation. Machine learning and statistical methods, including model validation. Data analytics and visualisation techniques. Processing large datasets using batch or streaming tools such as Apache Spark. Data acquisition and fusion approaches. Cloud ...

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 ...

quantitative solutions, 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 skillsAdvanced degree ...

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 ...

Cyber Risk analyticsStrong data management, governance, and lineage capabilitiesAbility to translate complex analytics into business insights and decisionsProficiency in data visualisation and storytellingUnderstanding of model governance, validation, and explainabilityFamiliarity with AI, prompt engineering, and large language model (LLM) applicationsStrong stakeholder engagement and communication skills in complex environmentsQualificationsBachelor … fieldProfessional certifications in data science, machine learning, or analytics (e.g. Coursera, edX, or cloud certifications) are desirableAdditional certifications in risk analytics, operational risk, or model risk management are advantageousProven years of experience in data science, advanced analytics, or quantitative roles, ideally within financial services or regulated environmentsAbout Standard CharteredWe ...

data management, governance, and lineage capabilities Ability to translate complex analytics into business insights and decisions Proficiency in data visualisation and storytelling Understanding of model governance, validation, and explainability Familiarity with AI, prompt engineering, and large language model (LLM) applications Strong stakeholder engagement and communication skills … certifications in data science, machine learning, or analytics (e.g. Coursera, edX, or cloud certifications) are desirable Additional certifications in risk analytics, operational risk, or model risk management are advantageous Proven years of experience in data science, advanced analytics, or quantitative roles, ideally within financial services or regulated environments About ...

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 ...

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 ...

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 ...

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 ...

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 ...