101 to 125 of 229 Model Validation Jobs in London

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 ...

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 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 ...

responds to it. We decode risk to unlock opportunity, helping our clients navigate uncertainty with clarity, speed, and confidence. We are seeking candidates who model our values: invest in every relationship, lead with curiosity, champion diverse perspectives, turn inputs into actions, and uphold trust through integrity. Skills and Competencies … control systems (e.g., Git) for shared code development Strong analytical thinking and problem-solving skills to interpret complex hazard behaviours and translate them into model outputs Effective communication skills to present technical insights clearly to both technical and commercial stakeholders Basic understanding of artificial intelligence concepts, with curiosity ...

customised neural networks, training strategies, loss functions and evaluation metrics. Implement and adapt techniques from recent AI and computer vision research. Build scalable training, validation, evaluation and inference pipelines. Optimise models for accuracy, robustness, latency and deployment across cloud and edge platforms. Translate research outputs into maintainable, production-quality … experience will also be considered. Strong knowledge of CNNs and modern computer vision techniques. Experience designing, modifying or adapting neural network architectures. Experience with model training, validation, hyperparameter optimisation and performance evaluation. Experience implementing techniques from recent AI or computer vision research. Experience delivering reliable AI systems into ...

join its Liquidity and Market Risk team in London with hybrid working (2 days in the office). The role focuses on stress testing, model ownership, validation-style testing and deeper analysis of model algorithms, code and data. You will monitor and govern risk models, test assumptions … develop benchmarking models. A strong technical and quantitative background in model risk, validation or governance is essential. #J-18808-Ljbffr ...

healthcare applications. The role sits at the intersection of clinical practice, software engineering, data science, and AI , with a strong focus on patient safety, model reliability, regulatory compliance, and real-world clinical impact. The successful candidate will work closely with clinicians, data scientists, ML engineers, software engineers, product teams … deep-learning models using appropriate clinical datasets. Develop robust data pipelines for clinical, imaging, laboratory, physiological, and/or electronic health-record data. Implement model evaluation frameworks covering performance, calibration, robustness, bias, uncertainty, and clinically relevant endpoints. Support prospective and retrospective validation of AI systems in clinical environments. ...

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 ...

shape the operating model. The role involves documenting as-is processes, bridging between business, SMEs, executives, and delivery teams, defining requirements, and supporting AI model validation and ongoing #J-18808-Ljbffr ...

clients and Bloomberg enterprise product teams to understand how firms expect to govern access — to content and to Bloomberg's capabilities — and validate the model against real firm behaviour. You'll need to have Strong product management experience in enterprise software, SaaS or platform products, leading initiatives from concept ...

process for new services, applications and significant changes. Ensure transitions meet agreed Service Acceptance Criteria and include a complete operational service wrapper. Validate support model, support hours, incident/request/problem processes, escalation paths, monitoring, runbooks, knowledge articles, RACI, CMDB and service catalogue updates. Ensure structured handover into ...

comprehensive AI governance frameworks that ensure the ethical, responsible, and compliant use of AI technologies across the organization. You will leverage your expertise in model risk management and regulatory compliance to influence strategic decisions and operational plans, ensuring alignment with both business objectives and regulatory standards. Your role involves … ensure compliance with evolving regulatory standards and internal guidelines Lead the identification and mitigation of risks associated with AI/ML models, ensuring robust model risk management throughout their lifecycle Oversee the validation and monitoring of AI/ML models to ensure accuracy, fairness, and compliance, utilizing advanced ...

Develop and evaluate statistical and machine learning models. Build segmentation, propensity, forecasting and personalisation solutions that reach real customers. Apply rigour to feature engineering, validation and model performance. Design and evaluate experiments to understand genuine impact. Work with Data Engineering to create reliable model inputs and productionise ...

with high reliability, performance, and observability. You’ll work at the intersection of ML, data engineering, and cloud infrastructure enabling fast, secure, and reproducible model development from training to deployment. We’ve reached 90%+ adoption of AI coding tools across engineering, and we’re now moving towards more … maintain ML pipelines for training, evaluation, and deployment using tools like Databricks, MLFlow, Airflow, DBT, Sagemaker, Tecton Support AI scientist creating reproducible, containerized model training environments (on-demand and scheduled), and manage compute at scale (e.g., spot/GPU autoscaling) Define and implement observability and alerting for ML systems ...

tools robust to the heterogeneity of operating room environments, so that customers all over the world can benefit from tailored solutions. Own the full model lifecycle including data curation, model implementation, training, validation, deployment and maintenance. Develop within Proximie environment to enable dynamic model training ...

develop predictive, machine learning, and Generative AI solutions. Build prototypes, proof-of-concepts, and production-ready analytical models. Perform data exploration, feature engineering, model development, and validation. Collaborate with data engineers and architects to operationalise solutions. Ensure solutions follow Responsible AI, governance, and security best practices. Support deployment, monitoring … Azure AI Foundry, Azure OpenAI, Azure Machine Learning, Databricks, or equivalent cloud platforms. Data visualisation and storytelling tools such as Power BI. MLOps and model lifecycle management. Preferred Qualifications Experience in client-facing consulting roles. Exposure to cloud-based AI and analytics platforms. Understanding of Responsible AI and governance ...

used by institutional clients. As an early member of a small, senior team, you will work end‐to‐end across research, prototyping, data engineering, model implementation, production systems, and client‐facing applications. This is a high‐ownership role for someone who is comfortable contributing wherever needed in a fast … empirical methods, and the application of these concepts in the investment industry. Familiarity with cloud infrastructure, containerisation, orchestration, and CI/CD for model deployment. Experience in building institutional‐grade analytical tools or dashboards for sophisticated end users. Prior experience in a startup or early‐stage technology environment. Compensation ...

Your role Corpay is currently looking to hire a Sales Analyst within our Sales & Data Transformation team. This position falls under our Internation Vehicle Payments (IVP) line of business and can be located in London ...

About CyberCube: CyberCube delivers the world's leading analytics to quantify cyber risk , translating one of the most critical risks of today and the future into financial impact for businesses, markets, and society. AI at ...

supporting basis development, pricing and underwriting rules for UK individual and enhanced annuities products. Responsibilities include planning, evidence synthesis, data sourcing, data analysis, model design, validation and results communication. As part of these projects, you will be transforming quantitative and qualitative analysis into assumptions and uplifts ...

developing, maintaining and applying stress testing and related models across market and counterparty credit risk. You will work with the Stress Testing Group, Model Validation and IT to implement models, calibrate parameters and produce governance-ready documentation for regulators and internal stakeholders. #J-18808-Ljbffr ...

Sompo Holdings, Inc. in London is looking for an AVP, Risk Modeling to lead catastrophe model validation, change, and implementation efforts. You will document methodologies, assumptions and testing, and work with Portfolio Analytics to translate results into actionable insights for underwriters. You will also drive system and reporting ...