Manager, Collections Risk Strategy

May 2

🏡 Remote – Anywhere in California

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Octane

Instant financing to fuel your lifestyle.

Software • Retail financing

501 - 1000

💰 $375M Debt Financing on 2022-08

Description

• Develop collections strategy for multiple products to optimize loss mitigation and revenue recovery while minimizing operational costs for the business • Perform advanced data analytics to identify drivers of loss and deviations in estimation techniques and proactively identify improvement opportunities • Design reports to track KPIs around operational execution, strategy performance, collector performance, and changes to the risk profile • Develop business insights and communicate proposals to C-level audiences • Maintain quality control and validate that the risk processes are working as expected • Work cross-functionally with servicing, data science, and product to produce better business outcomes • Improve sophistication and technical implementation of current approaches

Requirements

• A BS degree in a quantitative field such as statistics, econometrics, decision sciences, or engineering (advanced degree preferred) • Good overall understanding of consumer credit and lending • Minimum 3+ years of experience performing credit analysis, including experience with data visualization tools such as Tableau/ Power BI • Exceptional hands-on experience in Python, SQL, and Excel • Experience taking analyses from raw data to polished recommendations and communicating complex, technical findings to broad audiences • Strong written and oral communication skills

Benefits

• Robust Health Care Plans (Medical, Dental & Vision) • Generous Parental Leave • Up to 5 weeks time off (self-managed) • Retirement Plan (401k) with company match! • Educational Assistance/Tuition Reimbursement up to $3K/year • Life Insurance (Basic, Voluntary & AD&D) • Short Term / Long Term Disability • Robust Ancillary benefits including accident insurance, hospital insurance, etc. • Gympass wellness benefit • Powersports Safety Benefit

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