9 of 9 Remote/Hybrid Model Validation Jobs in 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 ...

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 ...

team performance. Manage the full modelling lifecycle , ensuring best practices in data science, statistical rigour and engineering are applied from data collection through to model validation, automation and delivery to the end users. Undertake research projects that address critical football questions, delivering novel insights that shape club strategy … data science, statistical modelling, and machine learning techniques. Expert understanding of statistical programming languages , especially Python and/or R, for data analysis and model development. Proficient in SQL development and knowledgeable about database and data warehousing technologies. Experienced with cloud-based computing environments, ideally GCP, demonstrating proficiency ...

structured ML outputs with LLM-based reasoning to deliver explainable scores Work closely with stakeholders to translate credit policy into data-driven workflows Support model validation, explainability, and performance evaluation Requirements Strong experience as a Senior Quant Data Scientist Deep understanding of: Regression, classification, and ranking models Time ...

with production stability. Engineering & AI Execution Lead cross‐functional teams across engineering, data science, and ML engineering. Establish best practices for AI development, including model validation, monitoring, and retraining. Drive adoption of modern engineering standards (CI/CD, DevOps, automated testing). Ensure seamless collaboration between data, product … regulations and AI governance standards. Establish frameworks for ethical AI use, explainability, and bias mitigation. Partner with Legal and Compliance on data usage and model accountability. Maintain robust security practices across data and infrastructure layers. Leadership & Collaboration Build and scale high‐performing teams in engineering, AI, and data. ...

clustering, regression, predictive analytics) with ability to take problems from framing through to deployment-ready outputs Must be strong in data exploration, feature engineering, model evaluation, and communicating insights clearly to non-technical stakeholders ideally within demand-led public services (predictive demand, prevention, triage/segmentation). Needs working ...

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 ...

mathematical formulation and numerical implementation to performance optimisation and direct contribution to live analytics and trading systems. What You Will Do End-to-End Model Ownership: Independently design, implement, and validate pricing and risk models for complex and exotic OTC derivatives (from math formulation to production rollout). Core ...

mathematical models and pricing papers in detail. The candidate should be capable of verifying pricing numbers against market standards and supporting client-facing validation documentation. Strong Java experience is required because the team works primarily in a Java-based environment. Specifically need someone who understands both quantitative modelling … high-performance engineering. Requires strong experience in performance optimization, scalable pricing implementations, and low-latency quantitative systems. Many quants focus only on model correctness and ignore performance considerations, whereas this role requires both numerical accuracy and production efficiency. Candidates from organizations or platforms such as Murex, Calypso, Numerix ...