Kafene is revolutionizing the lease-to-own space. We're the point-of-sale powerhouse making flexible lease-to-own accessible to everyone—prime and non-prime customers alike. Our secret weapon? Cutting-edge AI and machine learning that analyzes 20,000+ data inputs in real-time, empowering retailers across furniture, appliances, electronics, tires, and durable goods to say "yes" to more customers.
The numbers tell our story: over $500 million in sales and counting. But we're just getting started.
Our 150-person team spans NYC headquarters, Wilmington, and remote talent across the nation—all united by a culture that thrives on collaboration, innovation, and genuine support. We don't just talk about great workplace culture; we deliver it. That's why Built In named us a Startup to Watch and Forbes recognized us as one of the Best Startup Employers.
Ready to be part of the fintech revolution? Join us.
The Senior Risk Pricing Strategy Managerr is responsible for developing and executing data-driven pricing strategies that optimize profitability for Kafene’s lease-to-own product. This highly visible individual contributor role partners with the engineering, sales, analytics, operations, and finance teams to ensure pricing decisions align with business objectives and risk appetite. The role combines advanced analytics, business insights, and risk management knowledge to drive portfolio performance, profitability, and strong retailer partnership.
What you'll do:
Analyze portfolio performance and historical data to identify opportunities for pricing optimization
Propose pricing tests and collaborate cross-functionally to drive testing agenda
Partner with stakeholders across the company to ensure smooth deployment of pricing changes with our partners
Develop a pricing optimization framework – conduct sensitivity analyses and pricing simulations to understand the impact of pricing changes on key business metrics
Build and maintain reports to monitor portfolio performance, market trends, competitor pricing, and stakeholder feedback to ensure our competitiveness
Present actionable insights and recommendations to senior leadership in a clear and data-driven manner
Work with
Who you are:
Bachelor’s degree in Mathematics, Statistics, Data Science, Economics, or related STEM field
4+ years of experience in pricing, risk, or credit strategy within lending, LTO, or similarly dynamic industries with surge or complex pricing structures
Strong analytical and quantitative skills, with hands-on experience in SQL, Python, Excel, and Visualization tools (Sigma, Tableau, etc.)
Demonstrated experience developing or maintaining pricing models and risk segmentation frameworks
Ability to translate complex data into actionable business recommendations.
Familiarity with decision-tree analysis tools such as Knowledge Seeker
Proficiency in other analytical/programming languages is a plus
Ability to collaborate across cross-functional teams with strong communication skills
Strong sense of ownership and accountability with attention to detail and accuracy
Compensation and Benefits:
Salary between $150,000 – 190,000
Healthcare Stipend: We prioritize your well-being by covering 80-90% of medical, dental, and vision insurance costs.
Paid Time Off: We value work-life balance, which is why we offer flexible paid time off starting from your first day of employment.
We're building a team as diverse as the customers we serve. Kafene is proud to be an equal-opportunity employer, and we mean it. We welcome qualified applicants of every race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, veteran status, and all other legally protected characteristics.
Need accommodation during the application process? We've got you. If you're applying for a U.S. position and require reasonable accommodation at any stage, reach out to [email protected] with details about your request and contact information. We're here to help make the process work for you.
Note: This email address is specifically for accommodation requests and will only respond to those inquiries.