Related skills
sql python pandas scikit-learn numpy📋 Description
- Building and refining credit scoring models to assess credit risk
- Analyzing repayments data to improve loan eligibility while managing risk
- Developing ML models for loan eligibility decisions and pricing optimization
- Refining loan pricing based on credit analysis and customer behavior
- Testing new loan types with A/B testing and statistics
- Monitoring credit performance to detect risk shifts and margins
🎯 Requirements
- Several years of experience building predictive models, esp. credit scoring
- Strong ML background with model development, validation, deployment
- Proficiency in Python, SQL, and ML libraries (scikit-learn, pandas, numpy)
- Feature engineering, model selection, and hyperparameter tuning
- Translate model outputs into actionable business strategies
- Collaborate cross-functional with product, engineering, and commercial teams
🎁 Benefits
- Flexible work arrangements (remote or hybrid)
- Career development and coaching programs
- Well-being focus and family-friendly policies
- Impact millions with financial inclusion
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