16 of 16 Model Validation Jobs in Central 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 ...

professional services firm is expanding its AI and Data Science consulting practice, following significant team growth and increased demand for machine learning and AI model development and validation services. The Assistant Manager role will appeal to data scientists and ML engineers with a minimum of two years’ post … graduate experience who are ready to take responsibility for model development, tool-building, and technical validation across a variety of client-facing and internal projects. This opportunity offers structured career progression, exposure to a diverse range of AI use cases, and the chance to grow within a high ...

professional services firm is expanding its AI and Data Science consulting practice, following significant team growth and increased demand for machine learning and AI model development and validation services. The Assistant Manager role will appeal to data scientists and ML engineers with a minimum of two years’ post … graduate experience who are ready to take responsibility for model development, tool-building, and technical validation across a variety of client-facing and internal projects. This opportunity offers structured career progression, exposure to a diverse range of AI use cases, and the chance to grow within a high ...

analysing complex finance datasets, data models and data flows. Experience translating finance requirements into data, analytics and reporting solutions. Strong requirements gathering, documentation and validation skills. Experience working with enterprise data platforms, data warehouses or reporting environments. Strong understanding of data governance, data quality, data lineage and data ownership. ...

analysing complex finance datasets, data models and data flows. Experience translating finance requirements into data, analytics and reporting solutions. Strong requirements gathering, documentation and validation skills. Experience working with enterprise data platforms, data warehouses or reporting environments. Strong understanding of data governance, data quality, data lineage and data ownership. ...

design and architecture of actuarial, reinsurance and valuation solutions across the remit of M&P function. This role ensures that all model and system changes are designed holistically across methodology, models, systems, data, processes and reporting, delivering solutions that are robust, scalable, efficient and aligned with both business strategy … guidance during implementation to ensure design intent is realized 4. Architecture & Standards • Define and maintain actuarial architecture principles and standards. Drive consistency across: o Model design o Data structures and flows o System integrations o Reporting frameworks • Promote best practices in automation, modular design and scalability 5. Governance, Risk ...

instruments across trading and clearing platforms. Monitor and validate quantitative models, valuation outputs, and market inputs to ensure robustness and consistency. Oversee the collection, validation, and maintenance of market data from external venues, including the calculation and governance of market indices. Develop and enhance volatility surface construction, interpolation ...

performance Taking ownership of projects, managing milestones, and driving delivery with minimal supervision Collaborating closely with engineering, product, and data teams to ensure successful model implementation Identifying opportunities to improve existing models and develop innovative new market offerings Presenting quantitative findings and recommendations to both technical and non-technical … stakeholders Creating reports and visualisations to communicate model performance and business insights Mentoring and providing technical guidance to junior team members What we're looking for Proven experience as a Quantitative Analyst or Quantitative Modeller with a strong track record of delivering impactful models Deep expertise in mathematical ...

risks within financial services sector. Proven experience leading and delivering end-to-end internal audits. Solid knowledge of AI governance and risk frameworks, including model risk management (MRM) principles, AI lifecycle controls, bias and fairness assessments, and the design and evaluation of oversight and accountability structures for AI systems. … Demonstrable experience auditing or reviewing AI and machine learning models, including model validation, explainability, performance monitoring, data quality and integrity, and the adequacy of model documentation and change management processes. Why Consultants choose the ATC Work that moves you forward When a project fits your skills ...

risks within financial services sector. Proven experience leading and delivering end-to-end internal audits. Solid knowledge of AI governance and risk frameworks, including model risk management (MRM) principles, AI lifecycle controls, bias and fairness assessments, and the design and evaluation of oversight and accountability structures for AI systems. … Demonstrable experience auditing or reviewing AI and machine learning models, including model validation, explainability, performance monitoring, data quality and integrity, and the adequacy of model documentation and change management processes. Why Consultants choose the ATC Work that moves you forward When a project fits your skills ...

into scalable production-grade code Collaborate closely with Front Office, Trading, Risk, and Research teams Enhance and maintain low-latency, high-performance systems Perform model validation, backtesting, and optimisation Contribute to architecture design of quant libraries and analytics platforms Ensure best practices in software engineering, testing, and documentation ...

into scalable production-grade code Collaborate closely with Front Office, Trading, Risk, and Research teams Enhance and maintain low-latency, high-performance systems Perform model validation, backtesting, and optimisation Contribute to architecture design of quant libraries and analytics platforms Ensure best practices in software engineering, testing, and documentation ...

help design, develop, and deploy advanced AI and Machine Learning solutions. The ideal candidate will have strong expertise in data science, machine learning model development, and production deployment, with the ability to work collaboratively across teams to solve complex business challenges. Key Responsibilitie sDesign, develop, and implement AI/… regulatory challenges .Collaborate with data scientists, engineers, and business stakeholders to build and deploy production-grade machine learning models .Perform data analysis, feature engineering, model training, validation, and optimization .Conduct exploratory data analysis (EDA) to identify patterns, anomalies, and emerging risk indicators .Develop and maintain classification, ranking ...

analysis (EDA) to uncover trends, anomalies, and opportunitie sDevelop and validate machine learning models (regression, classification, clustering, etc. )Conduct feature engineering, hypothesis testing, and model evaluatio nTranslate business requirements into data science use cases and analytical solution sDeliver actionable insights to drive optimisation, efficiency, and performance improvemen tSupport decision … driven decision-making app roachDemonstrated continuous learning mi ndset Additional Requirements (Mand atory)Hands-on experience in PythonExperience in Azure and Databricks and ML model development & Depl oymentExperience in Tableau or similar visualisation tools ...

analysis (EDA) to uncover trends, anomalies, and opportunitie sDevelop and validate machine learning models (regression, classification, clustering, etc. )Conduct feature engineering, hypothesis testing, and model evaluatio nTranslate business requirements into data science use cases and analytical solution sDeliver actionable insights to drive optimisation, efficiency, and performance improvemen tSupport decision … driven decision-making app roachDemonstrated continuous learning mi ndset Additional Requirements (Mand atory)Hands-on experience in PythonExperience in Azure and Databricks and ML model development & Depl oymentExperience in Tableau or similar visualisation tools ...

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 ...

London Stock Exchange’s platform Real-Time Distribution System & Real-Time Managed Distribution System Transformation of the platform to a hybrid cloud model Packaging & validating multiple vendor products on our various infrastructures – cloud/on-prem (GCP/Anthos/Bare metal) Configuring & tuning market data infrastructure products ...

London Stock Exchange’s platform Real-Time Distribution System & Real-Time Managed Distribution System Transformation of the platform to a hybrid cloud model Packaging & validating multiple vendor products on our various infrastructures – cloud/on-prem (GCP/Anthos/Bare metal) Configuring & tuning market data infrastructure products ...

initiatives throughout their lifecycle. Establish monitoring, observability, and performance management capabilities for AI models, services, and AI-powered applications. Define and manage processes for model deployment, versioning, validation, retraining, and lifecycle management. Ensure AI solutions meet operational requirements related to reliability, scalability, security, compliance, and business continuity. Develop … track key performance indicators (KPIs) and service metrics related to AI adoption, model performance, operational efficiency, and business value realization. Lead incident management, root-cause analysis, and remediation efforts for AI-related production issues. Collaborate with data engineering, platform, security, and infrastructure teams to optimize AI platform operations ...

initiatives throughout their lifecycle. Establish monitoring, observability, and performance management capabilities for AI models, services, and AI-powered applications. Define and manage processes for model deployment, versioning, validation, retraining, and lifecycle management. Ensure AI solutions meet operational requirements related to reliability, scalability, security, compliance, and business continuity. Develop … track key performance indicators (KPIs) and service metrics related to AI adoption, model performance, operational efficiency, and business value realization. Lead incident management, root-cause analysis, and remediation efforts for AI-related production issues. Collaborate with data engineering, platform, security, and infrastructure teams to optimize AI platform operations ...

Senior Data Analyst £55,000 London, UK (Hybrid) Our client is a fast-growing data and media technology business using advanced analytics to power smarter campaign strategy and execution. By combining audience insight, machine learning ...

offs, risks, and next steps for senior stakeholders. Partner with ML and data science teams on AI-driven pricing tools: defining business requirements, validating model outputs, identifying commercial edge cases, and translating outputs into practical actions. Pressure-test pricing recommendations from a commercial perspective, considering customer impact, operational feasibility … commercial datasets. Experience working alongside ML or data science teams on AI-driven pricing or recommendation tools, including defining requirements, validating outputs, and translating model recommendations into business actions. Consulting-style problem solving: able to structure ambiguous problems quickly, work at pace, and deliver high-quality outputs for senior ...

As data engineer, you will contribute to the development of a robust, validated and easily accessible data foundation instrumental in facilitating new analytical workflows and applications. About us Hexegic are a leading technical consultancy providing ...

As data engineer, you will contribute to the development of a robust, validated and easily accessible data foundation instrumental in facilitating new analytical workflows and applications. About us Hexegic are a leading technical consultancy providing ...

Company Akkodis is a global leader in engineering, technology, and R&D, harnessing the power of connected data to drive digital transformation and innovation for a smarter, more sustainable future. As part of the Adecco ...