18 of 18 Model Validation Jobs in Central London

this role. Apply fast, check the full description by scrolling below to find out the full requirements for this role. Overview The Head of Validation, Model Risk is a senior leadership role responsible for setting enterprise direction for model validation—delivering independent, risk-based oversight across … management, fraud and compliance, finance and HR, and rapidly evolving Gen AI and agentic use cases. This role serves as the senior authority for model validation, setting the bar for defensible methodologies, rigorous challenge, and clear, decision-ready risk communication to senior leaders. The Head of Validation ...

driven solutions within a complex, enterprise-scale environment. This is an exciting opportunity to lead testing strategy across cutting-edge AI systems, ensuring robust validation, strong governance, and continuous quality improvement across digital platforms. The Role As a Senior Test Engineer, you will operate at a strategic level, shaping … testing approaches for AI and data services while remaining hands-on across automation, validation, and delivery pipelines. You will: Lead the design and execution of end-to-end test strategies across AI and digital programmes Ensure quality across AI models, data pipelines, APIs, and cloud-based services Embed test ...

professional services firm is expanding its AI and Data Science consulting practice, following significant team growth and increased demand for machine learning and AI model development and validation services. The Assistant Manager role will appeal to data scientists and ML engineers with a minimum of two years’ post … graduate experience who are ready to take responsibility for model development, tool-building, and technical validation across a variety of client-facing and internal projects. This opportunity offers structured career progression, exposure to a diverse range of AI use cases, and the chance to grow within a high ...

analysing complex finance datasets, data models and data flows. Experience translating finance requirements into data, analytics and reporting solutions. Strong requirements gathering, documentation and validation skills. Experience working with enterprise data platforms, data warehouses or reporting environments. Strong understanding of data governance, data quality, data lineage and data ownership. ...

risk and valuation frameworks and industry best practices Lead project teams, mentor and supervise junior team members, ensure high-quality deliveries and adhere to model governance upmost standards Support content generation and business development initiatives, including identifying new opportunities and developing proposals Your competences Technical: Post-graduate degree … maths from a top tier university Minimum of 8-12 years of relevant experience in quantitative modelling and derivatives pricing across Front Office, Model validation or Risk functions within financial services Solid background in stochastic calculus and data science including AI/ML techniques Experience with flow ...

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 ...

findings and recommendations to both technical and non-technical stakeholders, including senior leadership Producing reports and visualisations using Python libraries and Tableau to communicate model performance and insights Providing technical guidance and mentoring to junior team members on modelling techniques and best practice What we're looking for Proven … modelling techniques Strong understanding of probability, complex statistical distributions and Monte Carlo simulations Advanced Python skills for modelling, analysis and data manipulation Experience with model validation, backtesting and performance evaluation Strong understanding of the end-to-end model development and deployment lifecycle Experience working autonomously and successfully ...

instruments and products Trading strategy development and optimisation Risk modelling alongside the Risk team (VaR, stress testing, scenario analysis) Backtesting frameworks and model validation Customer behaviour modelling, pricing strategy and product launch support Collaborating with product teams to translate quantitative insights into customer-facing decisions Qualifications What … systems, real-time data pipelines, or event-driven architectures (Kafka, Flink, Redis etc.) Quantitative background - maths, physics, engineering or finance - you can read a model and reason about correctness Experience with testing, monitoring, and debugging complex systems under load A product mindset - you think about who uses your systems ...

language for the large-scale analysis and production of securities data Research and development of market dynamics across multiple asset classes Prototyping, testing, and validation of TradingHub’s proprietary models supporting and coaching more junior team members Requirements Proven financial markets experience, ideally within an investment bank or pricing ...

language for the large-scale analysis and production of securities data Research and development of market dynamics across multiple asset classes Prototyping, testing, and validation of TradingHub’s proprietary models Requirements Proficiency with C#, C++ or Python Evidence of exceptional mathematical and analytical skills Initial industry experience working ...

define success metrics, guardrails, and decision frameworks, translating analytical results into actionable product and operational actions. Define and uphold engineering standards and guidelines for model development, including validation, uncertainty, reproducibility, and bias/quality checks. Drive scalable experimentation with A/B and Multi-armed bandit testing frameworks … variance reduction, and online-offline alignment. Work together with Data Engineering, MLOps, and Game Tech teams to guarantee dependable data foundations, feature accessibility, and model deployment pathways. Build internal data products to improve the speed and quality of decision-making, such as AB-test calculators, decision tools, and automated ...

London Stock Exchange’s platform Real-Time Distribution System & Real-Time Managed Distribution System Transformation of the platform to a hybrid cloud model Packaging & validating multiple vendor products on our various infrastructures – cloud/on-prem (GCP/Anthos/Bare metal) Configuring & tuning market data infrastructure products ...

pinpoint exactly where Wise scales next. This role is about bridging the gap between deep technical research and real-world impact. By ensuring our model outcomes are robust, transparent, and—most importantly—actionable, you’ll turn complex data science into the insights that drive our mission and reach millions … solid grasp of causal inference concepts, including their application with machine learning models. Furthermore, you are adept at navigating a diverse range of model types, confidently selecting between gradient boosting, neural networks, linear regression, or a blend, based on the specific problem and desired outcome. Leadership: 2+ years experience ...

Senior Data Analyst £55,000 London, UK (Hybrid) Our client is a fast-growing data and media technology business using advanced analytics to power smarter campaign strategy and execution. By combining audience insight, machine learning ...

London, UK – Hybrid/Remote We're seeking a senior leader with a strong background in AI engineering and biopharma to drive the development, validation, and governance of AI-powered solutions within clinical development and regulated healthcare environments. This is not a role for someone simply using AI tools. … regulatory pathway and in negotiating with health authorities (EMA/FDA). Proven track record building and deploying AI/ML systems, including model development, validation, MLOps, and production deployment. Deep understanding of AI architecture, data pipelines, model governance, and software engineering best practices. Experience collaborating with ...

capture, analyse, document, and prioritize business requirements and functional specifications across Legal, Compliance, Technology, and Operations. Contribute to future‐state business architecture and operating model design to support new and existing Blockchain/DLT use cases. Work with cybersecurity, risk, and controls teams to help implement governance and regulatory … evidence needed for approvals. Drive documentation and delivery of end‐to‐end business workflows for tokenization and on‐chain settlement models, coordinating testing/validation and launch readiness across teams. Monitor internal and external blockchain/DLT capabilities and vendors; synthesize options and tradeoffs (feasibility, maturity, cost, time ...

emerging area, so part of the role will be to shape the problem space: 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 Scientist … production ready solutions. It is also not an ML engineering role: you don't need engineering experience, but you should understand what deploying a model involves and the practical constraints around it. We care about approaches that actually work in production, not ones that are too slow or expensive ...

Partner Implementation Manager (Scientific Software | LIMS/ELN | Partner Delivery) Location: London (UK) or New York City (USA) About the Company Our client is a profitable, well‐funded scientific SaaS company that developed a unified ...