1 to 25 of 36 Permanent Model Validation Jobs in Berkshire

Model Validation Quant Contract OUTSIDE IR35 Quant Capital is urgently looking for a Model Validation Quant to join our high profile client. Our client is a Tier 1 Investment Bank. This is a first-line quant role — embedded with the quant desk and directly shaping modelling … them after the fact. This isn’t just about implementing models. It’s about being the person who sees the cracks before they become validation blockers. We need someone who can: • Challenge model assumptions • Spot weaknesses in structure, calibration, or data • Write documentation that defends the model with clarity and depth You’ll work closely with FO quants, guide their submissions, and act as a bridge to model validation — pre-empting issues before they escalate. Responsibilities: • Review and guide FO quant model submissions with a critical eye • Develop, test, and refine models using More ❯

Credit Risk Model Validation Manager Up to £80,000 Hybrid London The Company I am hiring a credit risk analyst for a top fintech based in London who have multiple portfolios across both unsecured lending and secured lending. You will be working with experts across the industry to … validate risk models across the business. The Role As a Model Validation Manager , you will be: Validating Credit Risk models like IFRS9 (PD, EAD, and LGD) Using analytics skills to improve credit risk models and model review practices Validating wider risk models covering AI, machine learning, reporting … and operational risk models Working with senior leadership to present findings of validation exercises. Using tools like SAS, SQL, R and Python daily. Your skills and experience To be successful as a Model Validation Manager , you will need: Strong experience with SQL and python Strong experience with More ❯

client a global commodities firm are seeking a highly skilled Quantitative Analyst to join their risk management team in London. This role focuses on model validation, quantitative analytics, risk methodologies and risk management. You will be responsible for developing, testing, and validating risk models while working closely with … in front office activities, covering derivatives pricing, complex options, structured trades, and the construction of volatility surfaces and forward curves. Challenge the robustness of model methodologies by critically analyzing underlying assumptions, input data quality, and performance outcomes to ensure they are aligned with business and regulatory expectations. Conduct regular … reviews of model documentation, ensuring it is comprehensive, clearly articulated, and aligned with both internal governance frameworks and external regulatory requirements. Collaborate with Risk and Middle Office teams to resolve valuation discrepancies, explain P&L attribution, and investigate any inconsistencies in reported risk or profit and loss figures. Support More ❯

We are currently supporting a global investment bank in their search for Front Office Exotics Quant Analyst to work on model implementation and Validation in their Interest Rates team. The role will require an in depth knowledge of at least on exotic model, and an appreciation of … how that model is implemented, calibrated and validated. Key Skills Model development and validation Exotic Rates model knowledge C++, C# or Python development experience This is a 6 month rolling contract, for a project which is expected to last 3 years. The working pattern is hybrid More ❯

optimise and deploy your models into production, working closely with software engineers. Establish automated processes for large-scale data analysis and generation, machine-learning model development, model validation and serving. Communicate results and insights to both technical and non-technical audiences, including through presentations and written reports … field (Natural Language Processing focus only) Experience in state-of-the-art deep learning models architecture design and deep learning training and optimization and model pruning Experience with LLM benchmarking Strong programming skills in Python, Java, C++, or a related language Strong skills in algorithm development to solve optimisation More ❯

optimise and deploy your models into production, working closely with software engineers. Establish automated processes for large-scale data analysis and generation, machine-learning model development, model validation and serving. Communicate results and insights to both technical and non-technical audiences, including through presentations and written reports … field (Natural Language Processing focus only) Experience in state-of-the-art deep learning models architecture design and deep learning training and optimization and model pruning Experience with LLM benchmarking Strong programming skills in Python, Java, C++, or a related language Strong skills in algorithm development to solve optimisation More ❯

working, initial 12 month contract + opportunity to extend long-term & start date ASAP. Role Summary: Lead data activities including extraction, transformation, analysis, and validation to support Marketing Mix Modelling (MMM). Build, enhance, and validate models to analyze KPIs and guide budget optimization and scenario planning. Key Responsibilities More ❯

doing? • Advising clients on the impact of changing requirements in provision accounting standards (IFRS9) and Basel credit risk capital requirements (IRB). This will model review and validation activities such as: • Technical model development documentation review; • Assessment of model performance • Replication testing; and • Reviewing models’ against … accounting and risk requirements as related to IRB, IFRS9, and other regulatory credit risk models • Detailed working knowledge and experience of all aspects of model development and validation including the following: • Data extraction and pre-processing • Modular model development • User acceptance testing • Model performance assessments • Relevant More ❯

Statistical Analysis: Utilise econometric techniques like regression analysis, time series modelling, and panel data analysis to identify relationships between media spend and business outcomes. Model Validation and Interpretation: Evaluate the accuracy and robustness of models, interpret results, and communicate findings to stakeholders in a clear and concise manner. … inform media buying strategies, including channel allocation, budget optimisation, and creative testing. Advanced Analytics: Explore new data analysis techniques like machine learning to enhance model accuracy and uncover deeper insights. Your Experience and Skills: Data Science: Proficient in programming languages like Python, R, and SQL including data manipulation, data More ❯

Career Growth: Be part of an international team collaborating with professionals in London, Paris, New York, and Singapore while tackling high-impact projects like model validation, VaR enhancement, and new product onboarding. Diverse Responsibilities: From month-end valuation controls to process improvement and change management, no two days More ❯

drivers of KPIs, providing rationale for variables selection, understanding coefficients and contributions. Taking base models, oversee or build in additional improvements and progress the model towards finalisation Create sales effect/ROI workbook, Create response curves and optimisation charts Budget allocation. Run scenarios required to answer client objectives for More ❯

FX, commodities, crypto, and derivatives. Write high-performance, clean, and optimized C++ code for distributed systems. Leverage Python and SQL to analyze and validate model inputs. Document methodologies to meet internal and external compliance standards. Who We’re Looking For Education & Experience : M.S. or Ph.D. in Mathematics, Physical Sciences More ❯

insights and automation tools for the Digital-Follow channel. Define strategic data requirements and partner with Data Engineers to ensure efficient data pipelines and model deployment. Present findings to senior leadership and support the development of management and board-level reports. Champion best practices in data governance, model validation, and analytics delivery across the business. What You’ll Bring Proven experience managing Data Science teams and delivering business-impactful analytics projects. Strong stakeholder management skills, with the ability to communicate complex technical ideas to non-technical audiences. Advanced knowledge of statistical modelling, data manipulation, and machine More ❯

quantitative researchers, data scientists, and trading teams to translate complex financial insights into actionable AI solutions Implement robust machine learning pipelines for data preprocessing, model training, validation, and deployment Ensure the highest standards of model interpretability, explainability, and risk management Drive innovation in AI technologies, including large More ❯

be doing: Spotting opportunities to apply data science and ML to solve meaningful product challenges Designing and building data pipelines to support experimentation and model development Running structured experiments and analysing performance metrics to validate outcomes Deploying and maintaining models in production and delivering clear business impact Collaborating closely … engineering, and business stakeholders What you’ll bring: Hands-on experience developing and productionising ML models Strong analytical background with applied stats, EDA, and model validation techniques Confidence working with structured data pipelines and modern tooling (AWS, Snowflake, Airflow, DBT) Curiosity for emerging techniques and an eagerness to More ❯

and analytics infrastructure on Azure Collaborate with cross-functional teams to identify opportunities for data-driven improvements Establish best practices for data science workflows, model deployment, and monitoring Leverage AI tools to enhance productivity and accelerate project delivery Create dashboards, reports, and visualizations to communicate findings to stakeholders Mentor … Experience with Azure cloud platform and services Hands-on experience with AI productivity tools (e.g., GitHub Copilot, ChatGPT, etc.) Practical machine learning experience including model development, validation, and deployment Experience working with data platforms and infrastructure (any technology stack) Professional Experience: Proven track record of delivering data science More ❯

and analytics infrastructure on Azure Collaborate with cross-functional teams to identify opportunities for data-driven improvements Establish best practices for data science workflows, model deployment, and monitoring Leverage AI tools to enhance productivity and accelerate project delivery Create dashboards, reports, and visualizations to communicate findings to stakeholders Mentor … Experience with Azure cloud platform and services Hands-on experience with AI productivity tools (e.g., GitHub Copilot, ChatGPT, etc.) Practical machine learning experience including model development, validation, and deployment Experience working with data platforms and infrastructure (any technology stack) Professional Experience: Proven track record of delivering data science More ❯

You’ll be at the forefront of developing forecasting models, and supporting pricing strategies. This is a hands-on role where you'll own model development end-to-end—from design and testing to deployment and monitoring. Key Responsibilities Lead efforts to improve the performance and scalability of deployed … models. Design and build internal ML and forecasting libraries. Contribute to product planning by translating business objectives into measurable results. Champion best practices in model development, validation, and inference pipelines. Stay current with state-of-the-art techniques in AI and ML and apply them effectively. Work closely More ❯

You’ll be at the forefront of developing forecasting models, and supporting pricing strategies. This is a hands-on role where you'll own model development end-to-end—from design and testing to deployment and monitoring. Key Responsibilities Lead efforts to improve the performance and scalability of deployed … models. Design and build internal ML and forecasting libraries. Contribute to product planning by translating business objectives into measurable results. Champion best practices in model development, validation, and inference pipelines. Stay current with state-of-the-art techniques in AI and ML and apply them effectively. Work closely More ❯

for our clients. You will work closely with senior colleagues to support the efficient delivery of projects, including data collection and preparation, contributing to model finalization, writing results, and supporting the development of other analysts. You will also be expected to develop strong relationships with clients and communicate Gain … gain technical skills and knowledge of our working practices and methodologies. Key responsibilities include: Working with data: Data extraction and manipulation, data analysis and validation, batch files, programming Undertake data extraction, manipulation, and data analysis to understand the marketplace and client context relevant to each project. Analyse all datasets … process, transform, create variables and build models. Be or be working towards expert knowledge in a selection of these tools/approaches. Building Models: Model building and validation, sales effects calculations, ROIs, media optimisation Building of base models according to the project specification, incorporating all drivers of KPIs More ❯

with a focus on LLMs, NLP, and deep learning. Collaborate with cross-functional teams to integrate AI capabilities into products and workflows. Conduct research, model fine-tuning, and validation using frameworks like PyTorch or TensorFlow. Support AI governance and ensure responsible, scalable implementation. Mentor junior team members and More ❯

modules, data governance principles, and technical architecture to guide cross-functional teams and ensure successful project outcomes. Deep insight of data models, workflows, data validation rules, and integration points to support master data management processes. Should have deep insight of configuration and customization of SAP MDG modules to meet More ❯

modules, data governance principles, and technical architecture to guide cross-functional teams and ensure successful project outcomes. Deep insight of data models, workflows, data validation rules, and integration points to support master data management processes. Should have deep insight of configuration and customization of SAP MDG modules to meet More ❯

modules, data governance principles, and technical architecture to guide cross-functional teams and ensure successful project outcomes. Deep insight of data models, workflows, data validation rules, and integration points to support master data management processes. Should have deep insight of configuration and customization of SAP MDG modules to meet More ❯

development of analysts through the Training Academy, Knowledge Shares and feedback. Key responsibilities include: Working with data: Data extraction and manipulation, data analysis and validation, batch files, programming Undertake data extraction, manipulation, and data analysis to understand the marketplace and client context relevant to each project. Analyse all datasets … process, transform, create variables and build models. Be or be working towards expert knowledge in a selection of these tools/approaches. Building Models: Model building and validation, sales effects calculations, ROIs, media optimisation Building of base models according to the project specification, incorporating all drivers of KPIs … providing rationale for variables entered, understanding coefficients and SFX. Taking base models, oversee or build in additional improvements and progress the model towards finalisation. Calculate sales effects throughout the project to check results and assess their correctness, i.e., does media contribution make sense? Report to project team on preliminary More ❯