76 to 100 of 168 Model Validation Jobs in London

tasks, and improve output qualityExperience with VBA, Excel-based financial models, or BI tools (e.g. Tableau, Looker) for reporting and scenario analysisExperience supporting audit, model validation, or internal review processesKnowledge of ECL/impairment modelling under IFRS 9We’re building a place where everyone truly feels they belong. ...

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 ...

support transaction economics, hedging considerations and business reporting requirements. Provide portfolio performance monitoring and reporting, analysing actual versus forecast performance for closed transactions. Support model governance processes, including model testing, validation and maintenance of audit-ready documentation. Drive improvements in automation, controls and efficiency through enhanced tooling ...

geospatial data sets, solving non-routine analysis problems and applying advanced analytical methods as needed. You will have a central role in data-driven model development efforts including requirements specification, data gathering and processing, model tuning, validation, and structuring data-driven impact stories. This includes interactions with … modeller, environmental engineer, or similar, including work on developing or maintaining climate hazard models or natural catastrophe models. Ability to use and interpret climate model outputs and projections, including those from CMIP datasets. Experience with AI or machine learning methods and developing predictive models is an advantage. Strong skills ...

someone with experience training, tuning, validating, and improving machine learning models in production environments. You'll act as the bridge between AML Operations, Model Risk, Compliance, and Engineering teams, helping drive the transition from traditional rules-based monitoring to AI-powered detection. What you'll do: Lead the tuning … optimisation, and configuration strategy for Google Cloud AML AI models. Define and execute backtesting frameworks to validate model performance against legacy Transaction Monitoring approaches. Establish alert thresholds and monitoring strategies that balance model effectiveness with operational capacity. Educate and upskill business stakeholders on AI outputs, model explainability ...

improve ways of working.Preferred SkillsBIM & Digital Engineering Tools: Proficient in BIM platforms such as Revit, Solibri, and similar tools, with a strong understanding of model-based design workflows.Model Preparation & Data Quality: Experienced in preparing and validating Revit models for use in digital and AI-enabled workflows, including managing spaces ...

tools for loading, validating, comparing, visualising and explaining power system models and datasets. Build workflows for grid planning, connections, scenario analysis, data quality and model governance. Design APIs, data pipelines and product interfaces for complex engineering workflows. Create benchmarks and evaluation tools for testing AI models and agents … problems into practical software. Experience working across multiple parts of a software stack rather than within one narrow specialism. An interest in applied AI, model evaluation, agent systems and AI-assisted software development. The ability to communicate clearly and work directly with technical customers. High ownership, curiosity ...

group develops and maintains help analysts produce independent credit ratings that increase S&P Global’s analytical relevance in the market. As a Methodology Model SME, the position is embedded within the SF team and works closely with the Model and Criteria SMEs, who are responsible for developing … analytical workflows. Provide analytical insight and technical guidance to help the team resolve complex, non-routine problems and tasks. Maintain close interaction with analysts, model developers, and subject matter experts to ensure that data analyses and tools effectively inform analytical decisions. Work closely with the Model and Criteria ...

ownership of BAU service delivery and does not substitute for the MSP's own service management obligations. Key Responsibilities Design the VMO target operating model, defining purpose, scope, service boundaries and interfaces with Procurement, Finance, Legal, Technology, People and Change, and Risk Define the retained organisation structure, roles, capability … dates Establish the contract management framework covering variations, change control, change order pricing principles, renewal points and exit provisions Design the charging model validation approach, including resource units, volume bands, consumption tracking and invoice verification routines Design the performance management framework covering SLAs, KPIs and XLAs, including measurement ...

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, power analysis … 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 insights.Provide technical ...

solutions. Strong Salesforce administration, configuration, implementation, and development experience. Experience delivering large-scale Experience Cloud implementations. Expertise in Salesforce customisation, security models, workflow approvals, validation rules, and data management. Strong Apex development experience, including classes, controllers, triggers, Visualforce pages, and web services. Experience developing and supporting Salesforce integrations using ...

next phase of growth. What you'll do: Own the quantitative analytics and data infrastructure underpinning the desk's intraday power trading, from model build through to production tooling. Build and, over time, run a team as both the analytics and algo trading lead. Work directly alongside the desk … hands-on role in developing, and eventually trading, intraday algo strategies as the desk builds out its systematic footprint. Partner with the team on model validation, backtesting and risk analytics across the intraday book. Your profile: A minimum of 3+ years in the short-term prop power trading ...

guidance, including the EU AI Act, NIST AI Risk Management Framework, ISO/IEC 42001 and ISO/IEC 23894. Conduct AI risk assessments, model governance reviews, algorithmic impact assessments and responsible AI evaluations. Support AI lifecycle governance across model development, validation, deployment, monitoring, explainability, transparency, accountability … human oversight. Advise organisations on the governance implications of Generative AI, including data usage, intellectual property, security, privacy, bias and model risk. Facilitate workshops, governance forums and risk assessments with senior client stakeholders. Develop tailored AI governance approaches based on client business models, strategic objectives and regulatory requirements. Work ...

ANSYS Fluent, or Python. Strong background in heat and mass transfer, reaction engineering, and first-principles modelling (PDEs, reaction kinetics, etc.). Experience in model validation with lab or pilot data; understanding of solid–gas systems (calcination, hydration, carbonation); and past-demonstration of system optimisation preferred. Specifics ...

scale models through the full Software Development Life Cycle into production (including both ML and GenAI services).Perform exploratory data analysis, proof-of-concepts, model benchmarking, and validation experiments for both ML and GenAI approaches.Partnering with business leaders, domain experts, and end-users to gather requirements and align ...

scale models through the full Software Development Life Cycle into production (including both ML and GenAI services).Perform exploratory data analysis, proof-of-concepts, model benchmarking, and validation experiments for both ML and GenAI approaches.Partnering with business leaders, domain experts, and end-users to gather requirements and align ...

tissue characterisation, and semantic segmentation design and build the data pipelines that turn raw clinical recordings into structured, governed training datasets, supporting continuous training, model improvement, and re-validation cycles architect and operate the production ML stack, including model versioning, deployment, monitoring, drift detection, and rollback … cloud-enabled, regulatory-cleared surgical imaging platform establish and maintain MLOps best practices, including reproducible training, dataset governance, experiment tracking, model documentation, that scale across multiple algorithms, sensors, and clinical indications mentor more junior research scientists and engineers identify and surface novel features in support of patenting activities work ...

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 ...

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 ...

Deep grounding in statistics, machine learning, time-series analysis, and predictive modelling, with experience building models underreal operationalconstraints. Hands-on ownership of the full model lifecycle: data exploration, feature engineering, model development, back-testing, validation, deployment, monitoring, and ongoing tuning. Extensive experience working with large, complex … including missing data, outliers, regime changes, noisy labels, and evolving schemas. Strong understanding of production ML system design, including batch vs real-time inference, model serving patterns, performance trade-offs, and failure modes. Experience operating models in production over time, including versioning, drift detection, retraining strategies, and incident response ...

statistics, machine learning, time-series analysis, and predictive modelling, with experience building models under real operational constraints. Hands-on ownership of the full model lifecycle: data exploration, feature engineering, model development, back-testing, validation, deployment, monitoring, and ongoing tuning. Extensive experience working with large, complex, and imperfect … including missing data, outliers, regime changes, noisy labels, and evolving schemas. Strong understanding of production ML system design, including batch vs real-time inference, model serving patterns, performance trade-offs, and failure modes. Experience operating models in production over time, including versioning, drift detection, retraining strategies, and incident response ...

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 ...

integration, and AI/ML featuresTest AI/ML applications and machine learning models from a product and user perspectiveEvaluate AI/ML model outputs for correctness, consistency, and expected application behaviorDefine structured rubrics that translate qualitative findings into measurable evaluation gatesBuild quality gates for CI/… design patternsAbility to work in an Agile development environmentPreferred Qualifications Experience testing AI/ML applications or validating machine learning modelsExperience with data validation tooling (e.g., Great Expectations) or labeling workflowsFamiliarity with ML frameworks (e.g., PyTorch, TensorFlow)Experience with data pipelines and orchestration tools (e.g., Airflow, Metaflow)Knowledge ...

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 ...

shortfall and stress test calculations. This includes testing scenario design, implementation, results consolidation, and analyses of calculations to understand key driversInvestigate data issues and model anomalies, expanding and debugging the existing risk and PnL calculation code, and improving performance and maintainabilityPartner with Tech, Quants and Risk partners to ensure … that the solutions are scalable and aligned with the programmes’ needsDrive continuous improvement through critical review of model development and validation outcomes, and constructive challenge and feedback on technical documentationRequired Qualifications and Skills:Masters/PhD level in a quantitative subject (Mathematics, Statistics, Physics, Engineering, Computer Science ...