Description

Key Skills: Credit risk analytics, Credit Risk Analysis, Credit Risk, Data Science, SQL, Python

Roles and Responsibilities:

• Developing 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

Skills Required:

• You have +5 years of experience in data science, decision science, or risk analytics within financial services, including +2 years in managerment
• 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

Education: You're comfortable with Statistics - and have a Degree or qualifications in a quantitative field (Statistics, Mathematics, Engineering or similar)

Key Skills

Education

Any Graduate