101 to 125 of 189 Model Validation Jobs in London

About CyberCube: CyberCube delivers the world's leading analytics to quantify digital risk , helping the largest global carriers, reinsurers and brokers understand, price and manage cyber risk in financial terms. AI at our foundation, cyber ...

Atmospheric AI Limited in London is seeking a strong modelling specialist to build physics-based transformation and conversion models for materials economics and carbon accounting. You will enforce mass and energy balances and validate models ...

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 ...

Options Modelling Team. You will develop, validate and maintain quantitative models for FX options risk, primarily using C++. You will manage model risk, produce analytics for risk management, and communicate complex results to stakeholders including senior leadership. The role requires deep quantitative skills, experience with FX and interest rate ...

device-centric API, engineers can use devices for purposes such as low-level hardware bring-up using custom firmware and kernels, validating ML model performance on released hardware, all the way to automating the UI with XCTest to validate Apple’s cloud services.Join us to solve problems spanning maintaining ...

with stakeholders, pick the right approach (which may not always be ML), and set clear success metrics tied to commercial outcomes Own the full model lifecycle: scoping, development, validation, deployment, monitoring, scheduled recalibration and retirement ML Ops and production Set up ML Ops standards: version control, model … stack (GCP, Snowflake, Airflow), with reliable scoring pipelines and outputs that downstream tools and teams can use Build monitoring and observability for model accuracy in production (tracked against agreed thresholds and baselines), data drift and business impact, with clear alerts and review cycles Advanced analytics and measurement ...

engagements: maturity assessments, AI risk appetite, taxonomy and policy, operating models (roles across the three lines, forums, decision rights, escalation), integration with enterprise risk, model risk, data, cyber and privacy, and ISO/IEC 42001 readiness. Run AI estate discovery (including shadow AI), use-case classification and risk tiering … view, ending in a prioritised roadmap. Assess AI risk at use-case level, inherent and residual, covering customer and conduct harm, data and privacy, model and output, security and operational risk, across machine learning, generative AI and agentic AI. Design proportionate controls and guardrails, human oversight and approval workflows ...

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 ...

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 … OpenAI Agents SDK, with an understanding of agent design patterns including tool use, orchestration, memory, and multi-agent workflows Ability to own the full model-development lifecycle, including problem framing, data exploration, solution design, estimation, validation, deployment, and ongoing monitoring Ability to explain, present, and demonstrate complex modeling ...

proportionate, business-relevant advice, assurance and audit services. This role is responsible for leading and delivering specialist services in data governance, AI governance, AI model testing, and data analytics audits across Financial Services clients. As an Associate Director, you will act as a recognised subject matter expert across client … look into the role As an Associate Director within BRS, you will: Own and lead complex client engagements across data governance, AI governance, AI model testing, and analytics internal audit/risk within Financial Services, managing a significant portfolio of client relationships at senior stakeholder level. Lead strategic planning ...

financial markets and asset management line of business Strong business domain knowledge in ESG, investment stewardship, or buyside investment Familiarity with techniques for model explainability and self-validation CFA or equivalent financial qualification #J-18808-Ljbffr ...

term modeling vision. Who you are 5+ years' experience in credit risk modeling for consumer lending, credit cards, or BNPL. Deep proficiency in PD model development and validation, with strong knowledge of calibration techniques. Advanced Python and SQL skills; familiar with XGBoost, scikit-learn, pandas, MLFlow. Experience with … unstructured data (e.g., customer communications, credit applications). Knowledge of integrating third-party credit bureau data into production models. Understanding of champion/challenger model frameworks and A/B testing infrastructure. Exposure to loan-level economic modeling, including cost-of-capital and loss metrics. Curious to learn more ...

financial services business. The role will focus on developing and delivering data science solutions across the full machine learning lifecycle, from data preparation and model development through to deployment and monitoring. Working closely with technical teams and commercial stakeholders, the successful candidate will use data science to solve business … Previous production experience is not essential, as training and development will be provided. Key Responsibilities Deliver data science projects covering data preparation, exploratory analysis, model development and validation. Contribute to the deployment and ongoing monitoring of machine learning models. Take increasing ownership of the full model lifecycle. Apply ...

validate methodologies and ensure value estimates are reproducible and operationalised. Build scalable analytical solutions and pipelines using Databricks, Spark, and Python. Establish strong data validation, audit, and reconciliation practices to support decision-making. Required Skills Advanced SQL for large-scale customer, loyalty, payment, and transaction analysis. Strong Python skills … Power BI or enterprise reporting platform expertise. Production-grade data pipeline design, including incremental processing and Delta MERGE patterns. Experimentation, uplift modelling, or incrementality validation experience. Exposure to customer decisioning platforms or business needs analysis (BNA). With over 90 years' combined experience, NES Fircroft (NES) is proud ...

An excellent opportunity for a Quantitative Analyst to join a highly talented and technically focused team based in central London. The successful candidate will be responsible for interpreting, analysing and manipulating large and complex datasets ...

An excellent opportunity for a Quantitative Analyst to join a highly talented and technically focused team based in central London. The successful candidate will be responsible for interpreting, analysing and manipulating large and complex datasets ...

Interval, a UK-based talent solutions provider, is seeking an experienced Digital Twin Engineer to contribute to advanced modelling and simulation projects. This is a remote position with UK-based client work, focusing on digital ...

that generates real-time prices for client RFQ (Request for Quote) workflows. The ideal candidate will have deep expertise in commodity derivatives pricing, quantitative model development, and software engineering, with a strong focus on delivering accurate and low-latency pricing solutions in trading environments. Key Responsibilities Design, develop … calculations for real-time performance and low-latency execution. Collaborate with traders, quants, and technology teams to translate business requirements into scalable solutions. Conduct model testing, performance analysis, and continuous improvements. Ensure compliance with model governance, validation standards, and risk management frameworks. Support production deployments and troubleshoot ...

Research, Modelling and Experimentation: You will design and run systematic experiments to evaluate synthetic agent behaviour, test hypotheses about behavioural patterns, and iterate on model architectures based on empirical results and validation against real-world data. LLM Product Engineering: You will build sophisticated prompting strategies, behavioural frameworks … working hands-on with large language models to solve complex problems. Technical Skills Research: Proof of fast iteration and experimentation in order to validate model performance and outputs. Exposure to research-driven product development or academic AI research is desirable. Knowledge of fine-tuning workflows, model optimisation ...

translating ambiguous opportunities into scalable models, experiments, and production-ready capabilities. Drive end-to-end scientific work across problem formulation, data exploration, feature engineering, model development, evaluation, and iteration, with strong attention to measurable impact. Partner closely with engineers, product, and business stakeholders to integrate machine learning solutions into … workflows, including system design, API design, and data modelling considerations where applicable. Use strong technical judgment to select appropriate methods, validate outcomes, and improve model performance, reliability, and operational quality across multiple problem domains. Safely integrate and operate AI/ML-enabled solutions that improve outcomes, including familiarity with ...

Welcome to Haleon. We’re a purpose-driven, world-class consumer company putting everyday health in the hands of millions. In just three years since our launch, we’ve grown, evolved and are now entering ...

working directly alongside Customer Value Partners on live accounts, not behind a wall of tickets from a central data science function. Your work spans model and threshold tuning, deep analytical investigation into detection performance, and building the customer-facing narrative that shows exactly what's improved and why. … done this in front of customers before, and you know the difference between a model that scores well in a notebook and one that survives contact with a real investigator's workload. Key Responsibilities Tune and optimize detection models and thresholds against each customer's live transaction data, balancing ...

skin; hair follicles; longevity; prostate cancer; You will work closely with Managing Directors, laboratory scientists and QIMA's IT and AI experts. Scientific validation will be carried out in collaboration with independent laboratory teams. Key responsibilities Review and assess proposals from QIMA's Business Units. Examine the underlying data … recommend additional experiments where needed. Work with laboratory scientists to help define these experiments, including the required data, measurements and quality criteria. Establish clear validation criteria and prepare models for independent scientific validation. Improve the models through repeated testing and iteration. Ensure that code, data and models are reproducible ...

related asset classes.Work on market data, calibration and curve-building frameworks.Partner with traders, quants and technology teams to deliver enhancements and resolve production issues.Support model implementation, testing, validation and documentation.Contribute to performance improvements and strategic platform development.Required Skills & ExperienceStrong commercial C++ development experience.Experience working within a quantitative analytics … Windows environment.Desirable ExperienceFX Options, Commodities, Fixed Income or multi-asset derivatives experience.Python or VBA development.Knowledge of FRTB, XVA or regulatory risk frameworks.Exposure to model implementation and quantitative research.Experience with Git and modern development practices.Candidate Profile Suitable candidates are likely to come from a Quantitative Analyst, Quant Developer or Analytics ...

Work on market data, calibration and curve-building frameworks. Partner with traders, quants and technology teams to deliver enhancements and resolve production issues. Support model implementation, testing, validation and documentation. Contribute to performance improvements and strategic platform development. Required Skills & Experience Strong commercial C++ development experience. Experience working … Options, Commodities, Fixed Income or multi-asset derivatives experience. Python or VBA development. Knowledge of FRTB, XVA or regulatory risk frameworks. Exposure to model implementation and quantitative research. Experience with Git and modern development practices. Candidate Profile Suitable candidates are likely to come from a Quantitative Analyst, Quant Developer ...