Job Description
What You’ll Do
- Develop and deploy credit scoring, affordability, and behavioural models to support underwriting, pricing, and collections
- Design and run experiments to optimise approval rates, loss rates, and profitability
- Partner with product squads to embed decision logic into real-time systems
- Ensure data quality, compliance, and ethical use of models across all decisioning processes
- Mentor product squads on best practices in experimentation and data-driven decision making
- Provide models to optimise outcomes in collections, churn management and user retention
We would love to hear from you if…
- You’re comfortable with Statistics – and have a Degree or qualifications in a quantitative field (Statistics, Mathematics, Engineering or similar)
- You have +5 years of experience in data science, decision science, or risk analytics within financial services
- Working knowledge of credit risk, consumer lending, and regulatory considerations
- Proficiency in SQL and at least one modelling/programming language (Python, R)
- Experience with A/B testing, machine learning, collections modelling and churn management
- Ability to translate complex analyses into clear recommendations for business stakeholders
- High ownership mindset and comfort working in fast-paced, cross-functional teams
Are you interested in this position?
Apply by clicking on the “Apply Now” button below!
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