Related skills
sql python tableau excel data pipelines📋 Description
- Develop portfolio monitoring reports for internal/external use
- Design data-driven credit strategies (underwriting, limits, pricing)
- Analyze risk vs. profitability to spot growth or de-risking
- Develop Early Warning Indicators for risk trends
- Conduct A/B tests to measure strategy impact on profitability
- Assess ops and market trends to boost competitive edge
- Build automated data pipelines for risk monitoring
- Improve data governance by fixing data issues
- Collaborate with Data, Finance, Product, Tech teams on reporting
🎯 Requirements
- Bachelor’s or Master’s in quantitative fields
- 3+ years analytics/credit risk experience
- Strong analytical skills and data management
- Experience in Retail/SME Banking, Fintech, or Credit Ratings
- Know end-to-end credit life cycle: anti-fraud, collections
- Proficient in SQL, Excel (Advanced/VBA), PPT, Tableau, Python
- Attention to detail; identify data anomalies quickly
- Strong communication with non-technical partners
- Navigate ambiguity; develop testable hypotheses
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