14 of 14 Model Validation Jobs in the South East

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 the 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 Technical: Python More ❯

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 the 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 Technical: Python More ❯

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 the 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 Technical: Python More ❯

and Analytics teams and collaborate with product and engineering teams to work on Media Measurement and Data Solutions products. This includes data analysis, design of statistical and machine learning model methodologies and codebases, and model validation. The ideal candidate is a self-starter comfortable working with large datasets and knowledgeable in statistical and machine learning techniques, with an … eagerness to learn and contribute to the development and validation of products that align Cint capabilities with the market. What you will do Contribute to discovery and development phases for new and existing products/models relating to media measurement Participate in model development, validation and maintenance Analyze large datasets to identify trends, patterns, and insights, ensuring … ad hoc client-specific requests including performing analyses, data manipulation and producing summary results. Collaborate with cross-functional teams to deliver on broader project goals. Participate in developing methodologies, model validation, and maintenance and enhancement of existing statistical and machine learning models. Support evaluation and validation of both internal and external products to ensure Cint’s success. More ❯

and Analytics teams and collaborate with product and engineering teams to work on Media Measurement and Data Solutions products. This includes data analysis, design of statistical and machine learning model methodologies and codebases, and model validation. The ideal candidate is a self-starter comfortable working with large datasets and knowledgeable in statistical and machine learning techniques, with an … eagerness to learn and contribute to the development and validation of products that align Cint capabilities with the market. What you will do Contribute to discovery and development phases for new and existing products/models relating to media measurement Participate in model development, validation and maintenance Analyze large datasets to identify trends, patterns, and insights, ensuring … ad hoc client-specific requests including performing analyses, data manipulation and producing summary results. Collaborate with cross-functional teams to deliver on broader project goals. Participate in developing methodologies, model validation, and maintenance and enhancement of existing statistical and machine learning models. Support evaluation and validation of both internal and external products to ensure Cint’s success. More ❯

pipelines, and ethical product delivery. Key Responsibilities Collaborate with product teams to identify opportunities for ML and data science integration Build and maintain data pipelines to support experimentation and model development Develop and deploy machine learning models in production environments Present insights and results to technical and non-technical stakeholders Apply statistical methods and model validation techniques … user-centric data products Stay curious, research new methods, and continually build your technical capability What We’re Looking For Proficiency in Python or similar languages for scripting and model building Hands-on experience with machine learning, model deployment, and performance evaluation Strong communication skills – able to simplify complex ideas for various audiences Awareness of Agile methodologies and More ❯

pipelines, and ethical product delivery. Key Responsibilities Collaborate with product teams to identify opportunities for ML and data science integration Build and maintain data pipelines to support experimentation and model development Develop and deploy machine learning models in production environments Present insights and results to technical and non-technical stakeholders Apply statistical methods and model validation techniques … user-centric data products Stay curious, research new methods, and continually build your technical capability What We’re Looking For Proficiency in Python or similar languages for scripting and model building Hands-on experience with machine learning, model deployment, and performance evaluation Strong communication skills – able to simplify complex ideas for various audiences Awareness of Agile methodologies and More ❯

pipelines, and ethical product delivery. Key Responsibilities Collaborate with product teams to identify opportunities for ML and data science integration Build and maintain data pipelines to support experimentation and model development Develop and deploy machine learning models in production environments Present insights and results to technical and non-technical stakeholders Apply statistical methods and model validation techniques … user-centric data products Stay curious, research new methods, and continually build your technical capability What We’re Looking For Proficiency in Python or similar languages for scripting and model building Hands-on experience with machine learning, model deployment, and performance evaluation Strong communication skills – able to simplify complex ideas for various audiences Awareness of Agile methodologies and More ❯

What you'll be doing: Exploring, processing, and analysing complex time-series datasets. Designing and implementing advanced statistical, ML, and deep learning models for forecasting. Applying best practices in model development, testing, and validation. Working closely with quants and engineering teams to integrate models into investment workflows. Contributing directly to investment strategies with your research and insights. What we More ❯

with sports data You have advanced mathematics and statistics knowledge including Monte Carlo simulations You have a strong understanding of databases and SQL You have strong experience in backtesting, validation and performance evaluation of quantitative models You have advanced communication and collaboration skills What's in it for you: As a Quantitative Analyst/Modeller, you will earn a More ❯

requirements. Develop process maps and target operating models to enhance clarity and efficiency. Data analysis and definition, e.g. data-led insights, development ofdata dictionaries and data models. Supporting the validation of solutions delivered against acceptance criteria, through test planning, execution, coordination, etc. Partnering with Architects or Development teams to produce appropriate design specifications Continuously review and assess solution delivery More ❯

Bespak are looking for a Model-Based Systems Engineer on a permanent contract for the Kings Lynn site, PE30 2JJ. The salary range for this new position within the business is between £53k and £60k. Our generous benefits package includes 28 days leave plus bank holidays, 8% company pension contribution to employees 3%, onsite parking and medical/dental … flexibility in this onsite position within the needs of the business. Once you click apply, you will be redirected to our company website to make your application. As a Model-Based Systems Engineer, you will support the implementation of MBSE and in silico practices across the product lifecycle. Your primary responsibility will be working with senior engineers to develop … consistent with product evolution. We offer a Relocation Package for anyone looking to move into the area and can offer skilled worker visa sponsorship to eligible candidates. As a Model-Based Systems Engineer your duties will include: Developing and maintaining structured SysML system models. Supporting model traceability across the product lifecycle. Preparing and running FEA and CFD simulations. More ❯

clients. The role has been determined outside IR35 and will run for a minimum of 6-months. Technical Skills Machine Learning & Deep Learning Supervised/unsupervised/reinforcement learning Model selection, training, validation, and evaluation Deep learning architectures (CNNs, RNNs, Transformers) Data Science Statistical analysis, feature engineering, A/B testing Experiment design and hypothesis testing MLOps & Engineering More ❯

Select how often (in days) to receive an alert: We are looking for the right people - people who want to innovate, achieve, grow and lead. We attract and retain the best talent by investing in our employees and empowering them More ❯