12 of 12 Model Validation Jobs in the South East

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

Your new company You will be joining an expanding consultancy focused on supporting innovation in the pharmaceutical and biotech industry. Its specialist research division is dedicated to solving complex biological problems through advanced statistical modelling and ML/AI. They More ❯

with other teams to understand and solve business problems About you: Python (pandas, NumPy, scikit-learn): For data wrangling, modelling, and feature engineering SQL: For querying structured data sources Model Development & Validation: Experience with classification, unsupervised learning (e.g. outlier detection), and ranking models Machine Learning Deployment: Familiarity with containerised deployment (e.g. Podman, SageMaker, DSW pipelines) Version Control (Git … risk trends over financial years Exploratory Data Analysis (EDA): To spot early signals or risk clusters Desirable: Rank Aggregation/Ensemble Techniques: Understanding methods like Robust Rank Fusion (RRF) Model Explainability Tools: e.g. SHAP, LIME to support interpretability Experience with Model Monitoring & Drift Detection Experience in RegTech/FinCrime/Data-led Supervision Projects is a plus Additional 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 model More ❯

to define requirements for a new system Design and integrate new functionality into an existing sub-system in Simulink Collaborate with other engineers to design and prototype a detailed model of a system to understand observed simulated performance Design and prototype algorithms in Matlab, taking into account limitations and constraints of the target hardware Investigate the cause of anomalies … Warfare We are particularly interested in speaking to you if you have experience in any of the following areas; Problem definition Systems Architecture Synthetic Environments Performance Modelling Verification and Validation System of Systems This is not an exhaustive list, and we are keen to hear from you even if you might not have experience in all the above. The More ❯

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 ❯