Kafene is a leading point-of-sale financing partner dedicated to empowering flexible ownership solutions for underserved customers nationwide. By enabling our retail partners to offer flexible lease-to-own (LTO) purchase options for prime and nonprime consumers, Kafene helps merchants grow their customer base and meet the growing demand for furniture, appliances, electronics, tires, and other durable goods. Utilizing more than 20,000 data inputs in tandem with cutting-edge AI and machine learning technologies, our platform creates a best-in-class experience for both merchants and customers. With over $150 million in sales since inception, we are rapidly growing and looking to expand our team.
We take pride in fostering a dynamic workplace culture that values collaboration, innovation, and mutual support. Our team of 100 is spread between a NYC headquarters, a Wilmington office, and fully remote staff across the country. Last year, we were selected for Built In Startups to Watch and Forbes' Best Startup Employers.
What you'll do:

• Develop and apply statistical theories and methods to summarize numerical data to provide usable information to management of consumer lending corporation.
• Perform statistical and decision-tree analyses of complex data to understand root causes and/or potential business opportunities and optimize credit and leasing decisions.
• Extract meaningful business insights through the statistical analysis of complex data by organizing, aggregating, and summarizing relevant risk data from multiple and complex data sources (such as credit bureau information, alternative data, consumer behavior, the macro environment, and portfolio performance metrics).
• Validate and apply credit risk score models/strategies to optimize credit risk, fraud risk, and other risk strategies across the account lifecycle.
• Develop statistical reports to monitor Kafene's acquisition and portfolio performance related to credit risk, fraud risk, pricing, and other important metrics across the account lifecycle.
• Transfer data into meaningful, professional, and easy to understand formats giving business insight to leadership using knowledge of risk management framework and regulations. Share observations and present a variety of performance results with senior management, including the Chief Risk Officer (CRO) and Chief Executive Officer (CEO).
• Propose innovative credit risk strategy recommendations to drive profitable business growth. Review findings with senior management.
• Monitor internal and external performance to consider different macro economies and define risk appetite to ensure healthy businesses under different environments.
• Partner with Kafene's technology team and other partners to ensure timely and quality implementation with diligent test validation. Track the performance to ensure that it meets expectations.
• Design strategies incorporating statistics-based risk modeling analyses and develop time series loss forecast models to evaluate the expected losses of the portfolio and share it with finance and other internal stakeholders to get alignment.
• Evaluate 3rd party vendors' statistical data like the US Credit Bureau and score products to further improve Kafene's models and strategies.
• Analyze consumer lending profit and loss (P&L) components and dynamics.
• Use statistical analysis tools such as Python, SQL, R, and SAS.

Who you are:

• Master's degree in Statistics, Operations Research, Economics, Engineering, Data Science, or related.
• You have 5 years of experience in the job offered or related occupation such as Statistician, Analytics Associate, Analytics Analyst, Risk Analyst, or related occupation in the consumer banking or lending industry.

What you bring to the table:

• 5 Years of experience
• extracting meaningful business insight from statistical analyses of complex data using knowledge of risk management framework and regulations;
• validating and applying credit risk score models to optimize credit risk and other risk strategies;
• proposing innovative credit risk strategy recommendations to senior management.
• 3 years of experience
• using statistical analysis tools such as Python and SQL;
• analyzing consumer lending profit and loss (P&L) components and dynamics.

Compensation and Benefits:

• Base Salary: Earn a competitive base salary ranging from $163,240 to $175,000.
• Healthcare: We prioritize your well-being by covering 80% of medical, dental, and vision insurance costs. Additionally, we contribute 75% of the premium for your spouse and/or dependents.
• Retirement Benefits: Begin planning for your future from day one with our 401k plan.
• Paid Time Off: We understand the importance of work-life balance. That's why we offer flexible paid time off days starting from day one of your employment.
• Able to telecommute with manager approval, but must work onsite at NY, NY HQ 3-4 times per week.
• $163,240 - $175,000 a year

Kafene is an equal-opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, and other legally protected characteristics. If you are applying for a job in the U.S. and need a reasonable accommodation for any part of the employment process, please send an e-mail to jobs@kafene.com and let us know the nature of your request and contact information. Please note that only those inquiries concerning a request for reasonable accommodation will be responded to from this email address.