1 to 25 of 43 Model Validation Jobs in the UK excluding London

Business Unit: Group Risk, Independent Model Validation Salary Range: £39,200 - circa £49,000 per annum DOE?+ benefits Location : UK Remote - work from anywhere within the UK. Contract Type: Permanent and 12 month fixed term contract opportunities available Our Team Ensuring we have robust Model Risk Management frameworks in place is essential for us to manage … drive innovation in the modelling space that have to be managed appropriately. This is where our team comes in! We provide and evidence oversight in the form of independent model validations and reviews, where we work with stakeholders across the bank to ensure robust model development activities. We also make sure we adhere to frameworks and policies by … across the business are fit for purpose. Provide assurance on compliance with the regulatory requirements we work within. Utilise your technical skills in data manipulation and extraction and analyse model performance and model risk. Engage with model owners, gathering materials for analysis, challenging model performance or development and documenting findings. Generate model validation reports More ❯

Credit Risk Model Validation Manager Up to £80,000 Hybrid London The Company I am hiring a Model Validation Manager 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 using AI … and Machine learning modelling. 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 validating credit risk models. Experience working in financial services Excellent communication skills Strong stakeholder management A numeric degree from a top university More ❯

group’s cyber accumulation control framework for both affirmative and non-affirmative exposure. Building internal and external relationships to enhance existing processes and scenario usage. Supporting external third-party model validation work and understanding the vendor model ecosystem. Supporting the communication of Cyber View of Risk to key business stakeholders. Communicating model uncertainty (internal and external … model vendors), while still retaining credibility and confidence. Calculating PML figures for group company portfolios, as well as helping steer overall risk appetite for the group. Turning concepts and ideas into mathematical models for simulating losses against portfolio. Key Requirements Minimum of 3 years in a Cat Modelling/Exposure Management function. Expert is MS Excel. Skilled user of More ❯

design meetings to help shape the solutions that the team delivers Present findings and recommendations to technical and non-technical audiences. Acquire domain knowledge to inform modelling opportunities and model feature creation Technical Leadership: Mentor junior data scientists and provide peer reviews for modelling projects. Stay current with industry trends, tools, and best practices to continuously improve the team More ❯

Senior Machine Learning Operation Engineers to join our Data Function. You'll play a significant role within our Data Function, working on the design and implementation of machine learning model engineering frameworks, solutions, and best practices. You'll be technically proficient in machine learning and its applications; you'll demonstrate an understanding of data management and show a keen … Engineering, Architecture, and Software Development to ensure efficient operation and use of Data Science models and will facilitate the full life cycle of machine learning models from data ingestion, model development, testing, validation, deployment, to monitoring and retraining of models within different environments. If you've a strong understanding of Microsoft Azure, fluency in data science coding, and … skills Powering the business with the right tools What's involved: You'll contribute to the design and implementation of Machine Learning Engineering standards and frameworks. You'll support model development, with an emphasis on auditability, versioning, and data security. You'll implement automated data science model testing and validation. You'll assist in the optimisation of deployed More ❯

Senior Machine Learning Operation Engineers to join our Data Function. You'll play a significant role within our Data Function, working on the design and implementation of machine learning model engineering frameworks, solutions, and best practices. You'll be technically proficient in machine learning and its applications; you'll demonstrate an understanding of data management and show a keen … Engineering, Architecture, and Software Development to ensure efficient operation and use of Data Science models and will facilitate the full life cycle of machine learning models from data ingestion, model development, testing, validation, deployment, to monitoring and retraining of models within different environments. If you've a strong understanding of Microsoft Azure, fluency in data science coding, and … skills Powering the business with the right tools What's involved: You'll contribute to the design and implementation of Machine Learning Engineering standards and frameworks. You'll support model development, with an emphasis on auditability, versioning, and data security. You'll implement automated data science model testing and validation. You'll assist in the optimisation of deployed More ❯

Senior Machine Learning Operation Engineers to join our Data Function. You'll play a significant role within our Data Function, working on the design and implementation of machine learning model engineering frameworks, solutions, and best practices. You'll be technically proficient in machine learning and its applications; you'll demonstrate an understanding of data management and show a keen … Engineering, Architecture, and Software Development to ensure efficient operation and use of Data Science models and will facilitate the full life cycle of machine learning models from data ingestion, model development, testing, validation, deployment, to monitoring and retraining of models within different environments. If you've a strong understanding of Microsoft Azure, fluency in data science coding, and … skills Powering the business with the right tools What's involved: You'll contribute to the design and implementation of Machine Learning Engineering standards and frameworks. You'll support model development, with an emphasis on auditability, versioning, and data security. You'll implement automated data science model testing and validation. You'll assist in the optimisation of deployed More ❯

in the team due to continued success. THE ROLE Lead the end-to-end development of IRB models across a range of clients Assist the wider team with broader model projects including application and behavioural scorecards Work closely with the model validation team to enhance model performance Manage a small team of analysts to drive the More ❯

the business whilst leading a small team. THE ROLE Lead the end-to-end development of IFRS9 models across a range of products Assist the wider team with broader model projects including application and behavioural scorecards Work closely with the model validation team to enhance model performance Manage a small team of analysts to drive the More ❯

optimize high-fidelity physical models. Lead the implementation of co-simulation strategies, integrating multiple simulation tools to conduct holistic system-level analyses. Automate and optimise simulation workflows to accelerate model development and integration with parametric CAD models, and streamline the design process. Leverage both on-premise high-performance computing (HPC) and cloud computing resources to enhance simulation efficiency, ensuring … or Java is highly desirable, especially for scripting and workflow automation. Experience in data science and machine learning approaches and modelling with integration to Scientific Machine Learning. Expertise in model validation and correlating simulation data with real-world experimental results. Strong problem-solving skills with the ability to identify issues, analyse root causes, and implement effective solutions. Passion More ❯

optimize high-fidelity physical models. Lead the implementation of co-simulation strategies, integrating multiple simulation tools to conduct holistic system-level analyses. Automate and optimise simulation workflows to accelerate model development and integration with parametric CAD models, and streamline the design process. Leverage both on-premise high-performance computing (HPC) and cloud computing resources to enhance simulation efficiency, ensuring … or Java is highly desirable, especially for scripting and workflow automation. Experience in data science and machine learning approaches and modelling with integration to Scientific Machine Learning. Expertise in model validation and correlating simulation data with real-world experimental results. Strong problem-solving skills with the ability to identify issues, analyse root causes, and implement effective solutions. Passion More ❯

paced, cross-functional teams to deliver data-driven solutions iterative * Familiarity with SQL and experience in working with relational databases. * Knowledge of data pre-processing techniques, feature engineering, and model evaluation metrics. This is an excellent opportunity on a great project of work, If you are looking for your next exciting opportunity, apply now for your CV to reach More ❯

engineering, target discovery, and experimental biology) to drive research projects that identify novel drug targets and preclinical candidates. Design and execute computational and experimental studies to validate and improve model predictions. Stay informed about the latest advancements in machine learning and computational biology, and apply them to real-world challenges. Share research findings through presentations, publications, and technical discussions. More ❯

as a Simulation & Modelling Engineer with a world class technical engineering company based in Bristol. The opportunity: The Principal Simulation & Modelling Engineer will focus on the development, integration, and validation of dynamic numerical models, primarily using MATLAB and Simulink. Working with all elements of a system right down to wider system component level, the Principal Simulation & Modelling Engineer will … lifecycle. Automation is a key part of our testing process, and we are hands on in putting continuous integration and verification processes in place, in conjunction with performing detailed model validation against experimental or field trial data. Ensuring quality standards are upheld is also important in our work, so all Simulation & Modelling Engineers participate in this through model … Simulink, or other programming languagesfor system modelling and simulation. Knowledge of coding standards and peer review of coding changes Strong understanding of dynamic systems and numerical modelling. Familiarity with model-based design methodologies, the software development cycle, and systems engineering processes. Knowledge of scripting and automation (MATLAB scripts, Gitlab, Jenkins, or similar). Excellent problem-solving, analytical, and communication More ❯

as a Simulation & Modelling Engineer with a world class technical engineering company based in Bristol. The opportunity: The Principal Simulation & Modelling Engineer will focus on the development, integration, and validation of dynamic numerical models, primarily using MATLAB and Simulink. Working with all elements of a system right down to wider system component level, the Principal Simulation & Modelling Engineer will … lifecycle. Automation is a key part of our testing process, and we are hands on in putting continuous integration and verification processes in place, in conjunction with performing detailed model validation against experimental or field trial data. Ensuring quality standards are upheld is also important in our work, so all Simulation & Modelling Engineers participate in this through model … or other programming languages for system modelling and simulation. Knowledge of coding standards and peer review of coding changes Strong understanding of dynamic systems and numerical modelling. Familiarity with model-based design methodologies, the software development cycle, and systems engineering processes. Excellent problem-solving, analytical, and communication skills. Experience with version control tools (e.g., Git, EWM). Hands-on 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 ❯

Define benchmarks for target selection and biomarker tasks; source or assemble reference datasets to measure progress. Apply causal inference principles to propose experiments that disambiguate biological mechanisms and validate model outputs. Write high quality, tested code and deploy models across multi GPU or HPC environments; monitor performance and iterate. Stay current with advances in machine learning and computational biology More ❯

Strategy: Identify, engage, and manage stakeholders to ensure alignment and buy-in. Investigation & Requirements Engineering: Use interviews, workshops, and observation to elicit and document high-quality requirements. Requirements Modelling & Validation : Apply modelling techniques (e.g., BPMN, UML) and validate outputs with stakeholders. Business Process & Data Modelling: Map current and future state processes and data flows to support solution design. Idea More ❯

fertility testing and treatments Facilities : Fantastic site facilities including subsidised meals, free car parking and much more... The opportunity: In this role, we focus on the development, integration, and validation of dynamic numerical models, primarily using MATLAB and Simulink. We work with both the weapon effectors and the wider system components, in order to provide simulations of our products … lifecycle. Automation is a key part of our testing process, and we are hands on in putting continuous integration and verification processes in place, in conjunction with performing detailed model validation against experimental or field trial data. Ensuring quality standards are upheld is also important in our work, and all of our engineers participate in this through model … or other programming languages for system modelling and simulation. Knowledge of coding standards and peer review of coding changes Strong understanding of dynamic systems and numerical modelling. Familiarity with model-based design methodologies, the software development cycle, and systems engineering processes. Knowledge of scripting and automation (MATLAB scripts, Gitlab, Jenkins, or similar). Excellent problem-solving, analytical, and communication More ❯

Fine-tuning and optimizing models using tools like AlphaFold , RoseTTAFold , BioBERT , and DeepCell Integrating ML workflows with platforms such as Benchling , PubMed APIs , and internal R&D systems Supporting model validation, performance benchmarking, and regulatory documentation Key Technologies & Tools: ML Frameworks: PyTorch, TensorFlow, Hugging Face Transformers Bio-AI Tools: AlphaFold, RoseTTAFold, BioBERT, DeepCell, Cellpose Data Sources: Genomic datasets More ❯

fertility testing and treatments Facilities : Fantastic site facilities including subsidised meals, free car parking and much more... The opportunity: In this role, we focus on the development, integration, and validation of dynamic numerical models, primarily using MATLAB and Simulink. We work with both the weapon effectors and the wider system components, in order to provide simulations of our products … lifecycle. Automation is a key part of our testing process, and we are hands on in putting continuous integration and verification processes in place, in conjunction with performing detailed model validation against experimental or field trial data. Ensuring quality standards are upheld is also important in our work, and all of our engineers participate in this through model … or other programming languages for system modelling and simulation. Knowledge of coding standards and peer review of coding changes Strong understanding of dynamic systems and numerical modelling. Familiarity with model-based design methodologies, the software development cycle, and systems engineering processes. Excellent problem-solving, analytical, and communication skills. Experience with version control tools (e.g., Git, EWM). Hands-on More ❯

and employee development. Their risk and analytics functions are highly regarded, and the organisation is investing significantly in data-led decision making. THE ROLE You'll lead IFRS 9 model development within the mortgage's portfolio, with a focus on PD and LGD model design and implementation. This is a hands-on technical role, but also requires strong … Your key responsibilities will include: Leading the development of IFRS 9 PD and LGD models for the mortgage's portfolio. Managing and mentoring a team of two analysts. Supporting model monitoring, validation, and performance analysis. Contributing to stress testing and wider regulatory risk modelling as required. Collaborating with senior stakeholders to define modelling priorities and communicate insights effectively. More ❯

and update technical and legislation knowledge, staying at the forefront of toolchains and technologies. * Create and conduct training on modelling and simulation procedures, use of analysis tools, and data validation techniques. * Act as a mentor and guide colleagues in the realm of modelling & simulation, sharing your practical insights and knowledge to foster skill development and growth in the team. More ❯

and update technical and legislation knowledge, staying at the forefront of toolchains and technologies. * Create and conduct training on modelling and simulation procedures, use of analysis tools, and data validation techniques. * Act as a mentor and guide colleagues in the realm of modelling & simulation, sharing your practical insights and knowledge to foster skill development and growth in the team. More ❯

the use of digital collaboration platforms (BIMcollab, Navisworks, Revit, Solibri, Synchro). Driving the adoption of 4D and 5D BIM, plus supporting innovation in new technologies. Overseeing information management, model validation, and data compliance against ISO19650 standards. Supporting project teams and clients with digital workflows, EIRs, and asset data capture for FM integration. Why Join? A company that More ❯