Credit Risk ModelValidation Manager Up to £80,000 Hybrid London The Company I am hiring a ModelValidation 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 ModelValidation 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 ModelValidation 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 modelvalidation 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 ❯
Haywards Heath, Sussex, United Kingdom Hybrid / WFH Options
First Central Services
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 modelvalidation 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 modelvalidation 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 ❯
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 ❯
London, South East, England, United Kingdom Hybrid / WFH Options
Opus Recruitment Solutions Ltd
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 modelvalidation, 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 ❯
London, South East, England, United Kingdom Hybrid / WFH Options
Harnham - Data & Analytics Recruitment
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 ❯
Watford, Hertfordshire, South East, United Kingdom
Randstad Digital
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, modelvalidation, 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 ❯
help shape a growing data capability within a well-established and ambitious tech organisation. You'll play a key role in designing and delivering data-driven products, contributing to model development, analytics tools and scalable pipelines that drive insight and innovation. You'll collaborate with engineers, analysts and stakeholders to solve real business problems using a blend of data … What We're Looking For Strong experience in a Data Science or Machine Learning role Proficient in Python and SQL, with a solid grasp of data wrangling, modelling and validation Comfortable working with varied datasets and translating findings for non-technical audiences Understanding of modern data workflows (version control, notebooks, testing, etc.) Strong communicator with a practical, delivery-focused More ❯
3rd hire, making it a rare opportunity to join a consultancy with significant growth potential. THE ROLE You will be doing the following daily: Lead the design, development, and validation of credit risk models, with a primary focus on IFRS 9. Have an in-depth understanding of Basel and IFRS 9 regulatory frameworks, ensuring full compliance throughout the modelMore ❯
Position Available: NLP & Generative AI Data Scientist Location: Gloucestershire OR Hertfordshire Salary: £45,000 - £50,000 + Benefits Experience needed: We're looking for a Data Scientist with strong NLP and Python skills, and hands-on experience with large language More ❯