Related skills
looker r sql python scikit-learnπ Description
- Build credit scoring models using alternative data signals
- Develop risk segmentation and customer profiling
- Monitor portfolio performance and early warning signals
- Translate customer behavior into credit risk indicators
- Design and analyse experiments to optimize credit policies
- Build dashboards and data pipelines for decisioning
π― Requirements
- Bachelor's in statistics, actuarial science, economics, math, or econometrics
- 4+ years customer behaviour analytics experience
- 3+ years hands-on predictive modelling / ML
- Python or R for data analysis; SQL for data extraction
- Experience deploying production models
- Experience with A/B testing and causal inference
- Executive communication experience (nice-to-have)
π Benefits
- Professional development and coaching
- Family-friendly policies and flexible working
- Well-being support and career growth
- Hybrid work in Ghana with teams in UK/Europe/Africa
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