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What You’ll Do:
- Leverage multiple, complex data sources to perform analyses for merchant underwriting.
- Monitor, investigate, and conduct p &l analysis to optimize merchant underwriting policy.
- Design and maintain Sigma reporting and conduct statistical analyses to track merchant engagement.
What You’ll Bring:
- Master’s degree in a quantitative discipline.
- 2+ years of work experience in LTO or the financial industry.
- High-level proficiency in Python, SQL, R, or other data mining.
Kafene
Kafene is revolutionizing the lease-to-own space by making flexible lease-to-own accessible to everyone with cutting-edge AI and machine learning. They are a 150-person team spanning NYC headquarters, Wilmington, and remote talent across the globe, united by a culture that thrives on collaboration, innovation, and genuine support.