151 to 175 of 419 Model Validation Jobs in the UK

Schroders is seeking a Quantitative Risk specialist to participate in model validation across asset classes. You will produce clear reports, present risk findings to the governance committee, and help develop risk models and tooling with a focus on automation and transparency. The role requires postgraduate quantitative training, strong ...

questions are real and the appetite for answers is genuine. What Will You Do? Lead complex data science initiatives from problem definition through modelling, validation and implementation. Build predictive and machine learning solutions across priority customer and commercial use cases. Apply advanced statistical techniques to uncover behaviour, patterns … commercial opportunity. Design rigorous experiments and measurement approaches that reveal genuine incremental impact. Set best practice in feature engineering, validation, reproducibility and model evaluation. Work with Data Engineering to productionise high-value analytical solutions. Guide model monitoring, drift management and ongoing performance. Turn sophisticated analysis into clear ...

Canary Wharf is seeking a research-driven analyst to track market-moving corporate events and extract insights from primary sources. You will validate model outputs, write research notes, and present to clients, balancing speed with accuracy in a fast-moving environment. Candidates should have a strong finance interest ...

pipelines — from data ingestion to training to production inference Collaborate with engineers to integrate models into real-time energy management systems Continuously improve model performance — experimenting, validating, and iterating Help shape the ML roadmap and identify new opportunities to apply AI across the business Qualifications An ML Engineer with ...

attention to statistical robustness, overfitting and transaction costs Work alongside portfolio managers, traders and engineers to take research from prototype into production Monitor live model performance and investigate divergence between expected and realised behaviour Teams operate across the full frequency spectrum, from high-frequency and intraday through to medium ...

bring together ideas from machine learning, econometric choice modelling and mathematical psychology. You will investigate how large language models, optimisation algorithms and automated model search methods can support researchers in constructing robust behavioural models without replacing scientific judgement. The emphasis is on interpretable AI processes that complements econometric theory ...

entering a pivotal phase of growth and technological advancement. Its solutions are already being embedded into generative AI pipelines, delivering measurable improvements in model performance, while also addressing the rising energy demands of large-scale AI adoption. With a focus on practical deployment and a clear roadmap to fault ...

want to find out more about life at Paysafe, check out our careers page here. How we work: We follow a hybrid working model, spending an average of three days per week at our office location. We are open to this role being based in either our London … models Representation learning & embeddings Autoencoders and anomaly detection Graph/network-based models Semi-supervised and weakly supervised learning Own the end-to-end model lifecycle: problem framing, feature representation, model development, validation, deployment, monitoring, and iteration. Partner closely with Risk Strategy, Operation, MLOps and Data Engineering ...

using statistical and machine learning techniques, with a focus on probabilistic approaches. Contribute across the modelling lifecycle from feature engineering and training through to validation and deployment. Data Work: Query, clean and explore datasets using Python and SQL to surface patterns and support model development. Data Pipelines: Help … often built around specific sporting events, meaning fixed deadlines and go-live support requirements that you will help to provide. Quality & Rigour: Apply good model development discipline through version control, testing and documentation. What You’ll Bring Passion for Sport: You follow sport closely and understand the context ...

Sanctions and KYC/CDD and collaborate with the controls teams to contribute to the assessment of current controls, data, systems and operating model; define target state and prioritized delivery plan. Sponsor and drive the delivery of AI/technology‐enabled controls, automation/robotics use cases and oversee … technology implementation lifecycle requirements, data readiness, model development, validation, testing, deployment, adoption, and continuous performance optimization. Provide senior oversight of financial crime risks across high‐risk corridors and complex cross-border payment flows. Collaborate with the Payments teams to lead the enhancement of controls for crypto/digital ...

Sanctions and KYC/CDD and collaborate with the controls teams to contribute to the assessment of current controls, data, systems and operating model; define target state and prioritized delivery plan. Sponsor and drive the delivery of AI/technology-enabled controls, automation/robotics use cases and oversee … technology implementation lifecycle requirements, data readiness, model development, validation, testing, deployment, adoption, and continuous performance optimization. Provide senior oversight of financial crime risks across high-risk corridors and complex cross-border payment flows. Collaborate with the Payments teams to lead the enhancement of controls for crypto/digital ...

deliver BIM standards and a digital strategy across pre-contract and project delivery phases. The role requires technical leadership to implement BIM processes, model validation and 4D planning, with a focus on collaboration and continuous improvement. You will work with EIR/BEP reviews, 3D model federation ...

role focuses on developing and refining General Insurance pricing models to deliver accurate, fair pricing outcomes for customers. The position involves analytical pricing work, model validation, data analysis and close collaboration with Pricing and Underwriting teams, with a hybrid Midlands-based work arrangement. #J-18808-Ljbffr ...

professional soccer clubs. You will work with player tracking and event data to identify undervalued players, quantify skill, and support recruitment decisions. Responsibilities include model validation, client-facing reporting, and collaboration with engineering to deploy models on cloud infrastructure, ensuring reliable production systems and clear communication of results. ...

derivatives. You will design and implement pricing and risk models in C++ and Python, collaborate with traders, structurers and technologists, and ensure governance and model validation standards are met in a fast-paced trading environment. #J-18808-Ljbffr ...

investment and asset management teams, applying machine learning and predictive analytics to drive smarter capital decisions. You will integrate diverse data sources, validate model outputs, and present insights that influence deals and asset management across the UK. You will report to the US/Canada Lead Data Scientist with ...

data and analytical approach, and communicating findings clearly to non-technical stakeholders. Key skills: Strong quantitative and statistical analysis experience Bayesian modelling and statistical validation Python or R Predictive modelling, forecasting and segmentation Experience working with large, complex datasets Ability to work with incomplete information and datasets Salary ...

data and analytical approach, and communicating findings clearly to non-technical stakeholders. Key skills: ** Strong quantitative and statistical analysis experience ** Bayesian modelling and statistical validation ** Python or R ** Predictive modelling, forecasting and segmentation ** Experience working with large, complex datasets ** Ability to work with incomplete information and datasets Salary ...

data and analytical approach, and communicating findings clearly to non-technical stakeholders. Key skills: Strong quantitative and statistical analysis experience Bayesian modelling and statistical validation Python or R Predictive modelling, forecasting and segmentation Experience working with large, complex datasets Ability to work with incomplete information and datasets Salary ...

environmental or analytical data role and enjoy turning complex datasets into meaningful business insight. You'll also bring: Advanced Microsoft Excel skills, including modelling, validation and error tracing. Strong analytical and problem-solving abilities. Confidence engaging with stakeholders across different teams. The ability to work independently and take ownership ...

interpret them for design decisions. Experience synthesising flight logs/telemetry/test data and using it to validate and improve analytical models (model calibration, correlation to test). Strong scripting and analysis skills in Python (or similar) for automation, data processing and building/using design tools. Working ...

interpret them for design decisions. Experience synthesising flight logs/telemetry/test data and using it to validate and improve analytical models (model calibration, correlation to test). Strong scripting and analysis skills in Python (or similar) for automation, data processing and building/using design tools. Working ...

interpret them for design decisions. Experience synthesising flight logs/telemetry/test data and using it to validate and improve analytical models (model calibration, correlation to test). Strong scripting and analysis skills in Python (or similar) for automation, data processing and building/using design tools. Working ...

data engineers, operations, and consultants to deliver end-to-end analytical solutions and ensure continuous feedback and iteration Maintain clear documentation of data methodologies, model architectures, and validation processes to ensure defensibility, scalability, and transparency across client engagements Requirements 2+ years of proven experience in data science, advanced ...

data engineers, operations, and consultants to deliver end-to-end analytical solutions and ensure continuous feedback and iteration Maintain clear documentation of data methodologies, model architectures, and validation processes to ensure defensibility, scalability, and transparency across client engagements Requirements 2+ years of proven experience in data science, advanced ...