16 of 16 Model Validation Jobs in Central London

London Duration: 20/12/2026 Days on site: 2 Pay-Rate: £402 per day all inc. (PAYE through Umbrella) Role Description: SAS Model Development & Enhancement (SAS Model Developer) 1. Design, develop, and implement statistical, pricing, or predictive models using SAS. 2. Build modelling datasets, feature engineering … pipelines, and variable transformations. 3. Implement model logic, segmentation rules, scoring code, and scenario simulations. 4. Translate business/model requirements into robust SAS code. SAS Programming (Mandatory) 1. Build efficient and reusable SAS programs using Base SAS, SAS Macros, Data Step, SQL. 2. Develop automated pipelines ...

Responsibilities: Engage in the validation and approval sign off of the firm's models across Liquidity Risk, Market Risk, and Counterparty Risk models. Challenge model assumptions, implementations, and mathematical formulations. Review and oversee the monitoring of the performance of models including outcomes, verification, and benchmarking. Understand and communicate … risks of model limitations to senior management. Requirements: Education: PhD/Masters in a finance/mathematical/quantitative field Prior Experience: 3-5 years in model validation of liquidity/market/counterparty risk models. Knowledge: Strong understanding and experience working with ILST/VaR models ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

Designing and building machine learning models to solve real-world problems Carrying out full data science workflows: from data acquisition and cleaning to modelling, validation, and deployment Applying statistical and AI techniques to generate actionable insights Contributing to experimental research, model prototyping, and A/B testing Presenting … skills in Python (e.g. NumPy, pandas, scikit-learn, matplotlib); R is also welcome A solid understanding of core machine learning concepts, data wrangling, and model evaluation Proficiency with SQL and experience handling large datasets A passion for solving complex problems using data and a continuous learning mindset Excellent communication ...

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 ...

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 ...

tailored to their specific analytical requirements. ● Productisation of Data: Translate raw tracking data into productionised Data Science models that provide a clear commercial advantage. ● Model Assurance & Validation: Oversee rigorous back testing and optimisation cycles to ensure all models maintain the high level of accuracy and reliability required ...

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 ...

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 ...

Build and optimise models for constrained edge hardware Apply quantisation, pruning, and compression techniques to hit strict power and latency targets Work across a model family spanning compact architectures up to transformer and SSM approaches Collaborate with hardware engineers to validate model–accelerator integration Design rigorous experiments ...