In this role, youll play a critical part in safeguarding the accuracy and integrity of models across credit, finance, fraud, and operational domains. Youll thrive here if you enjoy combining technical expertise with leadership, guiding a team, and influencing outcomes at a senior level all while working with cutting-edge machine learning techniques and emerging technologies.
Key Responsibilities :
- Lead and deliver independent validations across credit risk, operational optimisation, financial crime, and marketing models.
- Provide subject matter expertise and technical review of advanced AI and ML models.
- Build challenger models using state-of-the-art machine learning methods.
- Research and apply best practices in model development, ensuring models meet governance, regulatory, and risk standards.
- Mentor and guide junior analysts, supporting technical and professional growth.
- Collaborate with model developers and business stakeholders, providing effective challenge and assurance.
- Contribute to the enhancement of validation methodologies, frameworks, and tools.
Job Experience and Skills Required :
Education : Honours Degree in Mathematics, Statistics or Data Science.Experience :6+ years experience in model development within Data Science, with direct exposure to model validation or review.
Strong expertise in tree-based methods, neural networks, clustering, anomaly detection, and other advanced ML / statistical techniques.Skills :Experience with cloud platforms (AWS preferred) and familiarity with emerging technologies such as large language models.
Excellent stakeholder management, communication and facilitation skills across multiple disciplines.Apply now!
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