Related skills
r sql python pandas scikit-learn📋 Description
- Build credit scoring models from alternative data
- Develop risk segmentation and profiling frameworks
- Monitor portfolio performance and early warning signals
- Translate customer behaviour into credit risk indicators
- Design experiments to test credit policies (A/B and causal)
- Build dashboards and data pipelines for credit decisioning
🎯 Requirements
- Bachelor’s degree in Statistics, Actuarial Science, Economics, Math, or econometrics
- 4+ years in customer behaviour analytics
- Built production predictive models; evaluation and deployment
- Python or R for modeling; SQL for data extraction
- Experience with A/B tests or causal inference
- Nice-to-haves: BI tools (Power BI/Tableau/Looker)
🎁 Benefits
- Professional development programs and coaching partnerships
- Family-friendly policies and flexible working arrangements
- Well-being support and career growth opportunities
- Hybrid working in Ghana with diverse teams across UK, Europe, and Africa
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