We're looking for someone who can bring analytical depth and modelling precision to strengthen how we assess and manage credit risk.
What you'll do:
- Develop, validate, and enhance credit risk models using statistical and machine learning techniques
- Collaborate with tech teams to deploy and monitor models in production
- Work closely with product, risk, and finance stakeholders to ensure models align with business objectives
- Build and maintain dashboards or analytical tools to support risk monitoring and decision-making
- Maintain model governance, documentation, and regulatory compliance
- Support the continuous enhancement of internal scoring systems and rule-based appraisal engines
What we're looking for:
- Bachelor's degree in Statistics, Engineering, Mathematics, or related fields
- 3–5 years of experience in risk analytics or credit risk modelling
- Proficient in Python and SQL
- Strong analytical and problem-solving mindset
- Understanding of credit risk frameworks, portfolio monitoring, and model governance
- If you're passionate about turning data into meaningful insights and building smarter, fairer risk models, we'd love to hear from you.