Senior Risk Pricing Manager
Listed on 2026-01-12
-
IT/Tech
Data Analyst, Data Science Manager -
Business
Data Analyst
Overview
Kafene is revolutionizing the lease-to-own space. We are a point-of-sale powerhouse making flexible lease-to-own accessible to everyone—prime and non-prime customers alike. Our AI and machine learning analyze 20,000+ data inputs in real-time to empower retailers across furniture, appliances, electronics, tires, and durable goods to say "yes" to more customers. Our team of about 150 spans NYC, Wilmington, and remote locations, united by collaboration, innovation, and support.
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.
Base pay range
: $/yr - $/yr
Risk Pricing Strategy Manager/Senior Manager 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 engineering, sales, analytics, operations, and finance 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 partnerships.
WhatYou'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 partners to enhance data collection and pricing engine to ensure its stability and flexibility
- Bachelor’s degree in Mathematics, Statistics, Data Science, Economics, or related STEM field
- 2+ 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
- Base Salary:
Earn a competitive salary of $120-160K - Healthcare:
We cover 80% of medical, dental, and vision insurance costs, including coverage for your spouse, children, and other dependents - Retirement Benefits: 401k plan
- Paid Time Off:
Flexible paid time off starting from day one
We're building a team as diverse as the customers we serve. Kafene is proud to be an equal-opportunity employer. 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 can help. If you’re applying for a U.S. position and require reasonable accommodation at any stage, contact 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.
Mid-Senior level
Employment typeFull-time
Job functionMarketing and Sales
#J-18808-Ljbffr(If this job is in fact in your jurisdiction, then you may be using a Proxy or VPN to access this site, and to progress further, you should change your connectivity to another mobile device or PC).