Credit Risk Modeller

At Bits, we’re on a mission to democratize credit and build a fairer financial future. We're looking for a skilled and analytical Credit Risk modeller to join our growing team and shape the future of our credit strategy and help us manage risk intelligently.

Requirements

• Strong academic background in a quantitative field (e.g., Mathematics, Statistics, Engineering, Computer Science)
• 5+ years of experience building and validating credit risk models in a financial services or fintech environment
• Proficiency in both traditional statistical methods (e.g. logistic regression) and modern machine learning approaches (e.g. XGBoost, random forests) for predictive modeling and risk segmentation
• Proficiency in Python for statistical modeling and data analysis
• Strong SQL skills and experience working with large datasets
• Proven ability to work with credit bureau and open banking data to design predictive models and shape data-driven acquisition and customer management strategies

Benefits

• Private health insurance
• Learning and development budget
• Flexible work culture with hybrid setup