14 of 14 Model Validation Jobs in Central London

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 ...

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 ...

into scalable production-grade code Collaborate closely with Front Office, Trading, Risk, and Research teams Enhance and maintain low-latency, high-performance systems Perform model validation, backtesting, and optimisation Contribute to architecture design of quant libraries and analytics platforms Ensure best practices in software engineering, testing, and documentation ...

risks within financial services sector. Proven experience leading and delivering end-to-end internal audits. Solid knowledge of AI governance and risk frameworks, including model risk management (MRM) principles, AI lifecycle controls, bias and fairness assessments, and the design and evaluation of oversight and accountability structures for AI systems. … Demonstrable experience auditing or reviewing AI and machine learning models, including model validation, explainability, performance monitoring, data quality and integrity, and the adequacy of model documentation and change management processes. Why Consultants choose the ATC Work that moves you forward When a project fits your skills ...

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 ...

utilised across all of TradingHub s product offerings Research and development of broad models of market dynamics across multiple asset classes Prototyping, testing, and validation of TradingHub s proprietary mathematical/statistical models Use of in-house big data language for the large-scale pricing and analysis of security ...

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 ...

Marketing Mix Modelling projects using frameworks such as Meridian, Robyn, or PyMC Own key stages of the modelling process, including data preparation, model development, validation, and scenario analysis Interpret model outputs and translate them into clear, actionable insights for clients Work directly with stakeholders to support strategy … Solid understanding of statistical modelling techniques, including Bayesian approaches Experience delivering analytical work in a client-facing or stakeholder-driven environment Ability to assess model quality and clearly communicate findings to non-technical audiences Exposure to marketing analytics, attribution, or media effectiveness projects is highly beneficial What They Offer ...

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 ...

offs, risks, and next steps for senior stakeholders. Partner with ML and data science teams on AI-driven pricing tools: defining business requirements, validating model outputs, identifying commercial edge cases, and translating outputs into practical actions. Pressure-test pricing recommendations from a commercial perspective, considering customer impact, operational feasibility … commercial datasets. Experience working alongside ML or data science teams on AI-driven pricing or recommendation tools, including defining requirements, validating outputs, and translating model recommendations into business actions. Consulting-style problem solving: able to structure ambiguous problems quickly, work at pace, and deliver high-quality outputs for senior ...

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 ...

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 ...