Related skills
sql data science credit risk paid social direct mail📋 Description
- Own credit risk strategy and underwriting for new channels.
- Define targeting criteria and risk rules for each channel.
- Collaborate with data science and risk to refine targeting models.
- Build ROI analyses linking volume to credit outcomes (LTV, CAC).
- Monitor channel performance post-launch and adjust parameters as needed.
- Partner with finance to meet LTV-to-CAC thresholds.
🎯 Requirements
- 5+ years in credit strategy, acquisition, or risk-adjacent marketing.
- Strong understanding of credit card economics: approvals, losses, LTV.
- Cross-functional experience across risk, marketing, finance, and data science.
- Advanced proficiency in SQL to pull and analyze data.
- Build business cases linking acquisition to credit outcomes and portfolio economics.
- Familiarity with targeting models and collaboration with data science on design.
🎁 Benefits
- Competitive compensation and equity packages
- Leading configured work computers of your choice
- Flexible paid time off
- Fully covered healthcare, including dependent coverage
- Additional health coverage includes One Medical and FSA option
- 20 weeks paid parental leave for primary caregiver; 8 weeks for all new parents
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