26 to 50 of 168 Model Validation Jobs in London

have everything we need to work flexibly.The teamThe Quantitative Risk team sits within the independent Group Risk function and provides firmwide oversight of model risk and governance. The team also develops and enhances risk models and oversees the monitoring and control of business-critical tools used across the Group.What … research to review, challenge and validate models used across Schroders’ businesses and all asset classes, including support for new product development.Produce clear, high-quality model validation reports and contribute to the ongoing enhancement of the firm’s model governance framework (policies, standards, controls and documentation).Present validation ...

.* Define the technical vision for AI products, ensuring solutions are **scalable, secure, maintainable, and aligned with business objectives**.* Provide deep expertise in **model development, experimentation, optimization, evaluation, and production deployment**.* Establish standard methodologies for **LLM evaluation, model benchmarking, AI quality measurement, and performance assessment**. … Evaluate emerging AI technologies, foundation models, and third-party solutions to find opportunities for innovation and business value.* Guide architectural decisions across **AI platforms, model-serving infrastructure, data pipelines, and MLOps/LLMOps capabilities**.* Partner closely with Engineering teams to **productionize AI solutions and drive operational excellence**. ...

infrastructure supporting our cutting-edge AI-infused scenario planning platform.You will work closely with Data Scientists, ML Engineers, and Cloud Infrastructure teams to streamline model training, deployment, and inference while ensuring optimal GPU utilisation, reliability, and cost-efficiency.Your ImpactProvision and manage cloud-native AI/ML infrastructure utilising Kubernetes … core platform infrastructure using Infrastructure as Code (IaC) tools like Terraform, Helm, and Ansible.Optimise GPU compute workloads, high-speed networking, and storage for efficient model training and low-latency inference.Build and maintain robust CI/CD and MLOps pipelines for continuous model training, evaluation, packaging, and production deployment.Deploy ...

turn complex challenges into working solutions. You look at a decisioning problem, ask what outcome we need, what data we have, and what model will work best design it and coordinate delivery with our offshore and client teams. You spot issues before they become problems, raise them, and solve … event-driven automation flows that respond to customer behaviour in real timeDesign integrations with marketing, commerce and service platforms to close the loop between model scores and actionsEnsure automation is scalable, auditable, and aligned with consent and data governance requirementsDelivery & LeadershipLead technical workstreams end-to-end — from design through ...

worldwide, considering regional regulatory nuances and cultural sensitivities. Integrate AI security requirements into security and enterprise architecture, software development life cycles, and model life-cycle management, ensuring consistency and agility across diverse operational regions. Will be part of Security Strategy development and does require interaction with executive business leaders … development, training, and deployment pipelines Define AI & security data governance and access control frameworks for systems Create security-by-design principles for AI model development Design threat models specific to AI/ML systems and attack surfaces Technical Security Standards: Develop and maintain security frameworks and best practices Create ...

science, setting best practices and standards across the organization Mentor and guide junior and senior data scientists, fostering a high-performance, collaborative team environment Model Development & Deployment Develop and deploy machine learning models for use cases such as: Fraud detection Credit risk modeling Customer segmentation and personalization Forecasting … adoption Data Strategy & Governance Support the development of data strategy frameworks, ensuring alignment with regulatory and compliance requirements Promote best practices in data governance, model validation, and ethical AI usage Qualifications Required Background: MSc or Higher in Artificial Intelligence, Computer Science, Data Science, or a closely related discipline ...

delivered to a high standard using modern software engineering and MLOps practices. This role is ideal for someone who enjoys balancing hands-on model development with technical leadership, project delivery and helping others grow.You'll also embrace approved AI-enabled ways of working to enhance productivity, accelerate insight generation … improve delivery quality, while applying sound human judgement, responsible AI principles and appropriate governance throughout the model lifecycle.What You'll DoUtilise Python for advanced data analysis, exploration, feature engineering and data processing to uncover insights, trends and patterns, leveraging approved AI tools where appropriate to accelerate analysis and improve ...

Assurance/Validation Practice Leader AI Assurance/AI Validation Financial Services To 175k base + equity London An exceptional opportunity for a AI Assurance leader to join a global leader in AI Leading the AI Assurance and Validation capability across Financial Services you will build … lead the team, lead across GTM capability and drive revenue. Create value around model validation and 2nd line Defence. This is a unique career defining role where you will shape and develop the capability. Essential criteria You bring a strong technical background in model risk management, specifically ...

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 ...

enhance tools used by the desk for valuation and riskWork closely with traders and sales to provide quantitative insights and support new businessPartner with model risk and controllers on model validation and documentationContribute to exposure simulation and portfolio-level analyticsSkills that will help you in the role ...

with C++ or C# or Java programming, as it involves development of interfaces to the core C++ analytical library where the models are implemented. Model validation, including testing the model at its fundamental level and pricing real-world trades to ensure that the model produces ...

models, manage experimentation at scale, operationalise discoveries and deliver production-quality AI depends on the ML platform, tooling and practices that underpin the entire model lifecycle. THE POSITIONWe are seeking a senior leader in MLOps Engineering to join Computational Innovation's AI Accelerator (@computationalinnovation). In this role … move efficiently from experimentation to reliable production deployment and support. You will define the tooling, platforms and engineering practices that enable large-scale model training, experiment tracking, deployment, monitoring and governance. This is both a strategic and hands-on technical leadership role. You will define architecture and standards, help ...

cross‐functional team of software engineers (and closely partnered OR/data science specialists). Own technical direction and delivery for products that model, optimise, and operationalise solutions to disruption and crewing problems (e.g. recovery planning, re‐optimisation, what‐if analysis). Drive architecture and design decisions for services … down ambiguous problem statements, and define measurable outcomes and acceptance criteria. Collaborate with OR/optimisation experts to integrate solvers (e.g. Gurobi) and ensure model performance, correctness, explainability, and maintainability. Establish strong engineering practices: code review, automated testing, CI/CD, release management, incident response, and post‐incident learning. ...

analysis (regulatory and economic) for Chaucer’s managed Lloyd’s syndicates. Delivery of the syndicate SCR, taking responsibility for specific areas of the internal model, producing and validating model outputs. Involved in model and MI development as well as use of the capital model throughout … decisions as required;* Produce and develop management information for the interpretation and presentation of modelled results to various groups within Chaucer, including Risk and Model Working Groups and ad-hoc forums with senior management as required* Assist in the ongoing development (incl. Igloo coding) and parameterisation of the Internal ...

technical hardware-and-software architect role, not a strategy-only position. The successful candidate operates comfortably across GPU infrastructure, high-performance networking, model training and inference pipelines, and the AI risk/governance disciplines increasingly demanded by regulators and enterprise boards. The Enterprise Architect will lead technical delivery teams … inference/serving platforms, MLOps/LLMOps tooling, vector databases, and retrieval-augmented generation (RAG) and agentic architectures. Define and AI governance frameworks covering model risk management, responsible AI, data lineage, bias/fairness testing, explainability, and regulatory alignment (EU AI Act, NIST AI RMF, ISO/ ...

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.ResponsibilitiesThe Senior Product Analyst will work with product, financial engineering, data, technology, support, professional services … 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, test scenarios, release notes ...

OECD AI Principles, IEEE Ethically Aligned Design, and the EU Ethics Guidelines for Trustworthy AI Technical and Implementation Experience: * Conducted AI risk assessments, model validation, and algorithmic impact assessments across multiple use cases and industries * Implemented AI governance tools and platforms (e.g., model registries, monitoring solutions, bias ...

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 ...

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 ...