Slate is looking to optimize its auto loan and lease origination process to drive profitable growth and customer satisfaction in their financial services offerings.
Requirements
- Proficiency in Excel and data visualization tools (e.g., Tableau, Looker).
- Experience working with data science teams and interpreting model outputs.
- Strong statistical literacy and ability to think probabilistically.
Responsibilities
- Analyze funnel performance, approval rates, and funding metrics to identify optimization opportunities and drive continuous improvement.
- Use A/B testing and statistical methods to optimize profitability by varying pricing and attach rates.
- Serve as the product lead for lender integrations, ensuring seamless data exchange, underwriting logic, and compliance alignment.
- Work closely with engineering, design, and operations to deliver product and pricing changes on time.
- Help prioritize backlog based on impact, effort, and strategic considerations.
- Define and track KPIs such as approval rates, take rates, funding rates, and NPS.
- Build dashboards and reporting tools to monitor health and inform decision-making.
Other
- 10+ years of experience in product management, analytics, or a quantitative role, ideally in automotive financial services.
- Strong understanding of consumer lending, credit risk, and financial product lifecycle.
- Excellent communication and stakeholder management skills.
- Master preferred
- Slate's start-up spirit of ingenuity and resourcefulness moves our business forward.
