Related skills
r sql python dbt git📋 Description
- Conduct in-depth portfolio and trend analysis to identify drivers and risks
- Develop insights to optimize underwriting policies and fraud risk
- Monitor key credit metrics and communicate findings to stakeholders
- Partner with Analytics, Data Science, and Data Engineering to build scalable models
- Support strategy testing and measurement efforts (champion/challenger tests)
- Translate analyses into clear narratives for leadership and partners
🎯 Requirements
- Bachelor’s degree in math, economics, statistics, or other quantitative field
- 5+ years of experience in an analytical role
- 2+ years of consumer lending experience, either at a large bank or fintech
- Proficiency in SQL, R or Python
- Proficiency in Data Lake, DBT or Git
- Excellent written, verbal, and interpersonal communication skills
🎁 Benefits
- Fintech experience
- Experience supporting underwriting strategy, credit policy, or fraud risk in consumer lending
- Familiarity with building dashboards or automated monitoring using BI tools
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