Related skills
data engineering sql python data visualization machine learning๐ Description
- Lead two teams to optimise automated credit strategy and risk decisioning for SME lending.
- Own risk analytics and reporting, including risk committee and investor packs.
- Model growth vs. tightening indicators aligned with Risk Appetite.
- Leverage Moniepoint data ecosystem to generate actionable risk insights.
- Collaborate with product and tech to operationalise risk initiatives.
- Drive innovation and new data sources to strengthen credit risk understanding.
๐ฏ Requirements
- 7+ years in SME/Consumer Credit Risk (unsecured lending) in hands-on analytics
- Proven risk leader able to upskill and develop junior risk professionals
- Significant expertise in credit policy rules and scorecard optimization
- Hands-on coding in SQL and Python
- Proven ability to create and enhance Credit Risk reporting for portfolio performance
- Ability to distill complex concepts into visuals for C-level stakeholders
๐ Benefits
- Culture - People first; wellbeing; all voices heard
- Learning - development-focused with knowledge sharing and talks
- Compensation - attractive salary plus benefits
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