Risk Manager

Kafene

$127K — $140K *
Finance & Insurance
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Master's degree in a quantitative discipline (Statistics, Economics, Business/Data Analytics, or similar)
  • 1.5 years of experience building quantitative and statistical models in consumer financial lending or lease-to-own (LTO)
  • Proficiency in Python, R, and Excel for statistical analysis
  • Experience creating pivot tables and decision-tree models for predictive analysis

Responsibilities

  • Monitor performance across acquisition, portfolio, and collections focusing on credit and fraud risk
  • Integrate diverse data sources to derive actionable insights
  • Conduct statistical and decision-tree analyses to uncover root causes and opportunities
  • Present findings and collaborate with technology teams to implement strategies
  • Continuously evaluate risk strategies for improved financial performance and enhanced customer experience

Benefits

  • 80% coverage of medical, dental, and vision insurance for you and dependents
  • 401(k) plan available from day one for future planning
  • Flexible paid time off starting from day one to support work-life balance
Full Job Description
About the Team

Kafene's Risk team is a key driver of growth for the business. As a Risk Manager, you will report to the VP of Risk and help build Kafene's profit-driven consumer underwriting strategies. You will harness complex data sources and machine learning, and you will partner across technology and senior leadership to develop strategies that optimize credit risk, fraud risk, and other factors across underwriting, portfolio management, and collections.

What You'll Do
  • Monitor acquisition, portfolio, and collection performance across the account lifecycle, with a focus on consumer credit risk, fraud risk, lease terms, channel performance, and other key metrics
  • Integrate complex data sources, including bureau, alternative, behavioral, macroeconomic, and internal portfolio data, to generate actionable insights
  • Conduct statistical and decision-tree analyses to identify root causes and business opportunities
  • Present findings to leadership, partner with technology teams to support strategy implementation and validation, and continuously monitor risk strategies to improve financial performance and enhance the customer and merchant experience


What You'll Bring
  • Master of Science degree with major in a quantitative discipline (Statistics, Economics, Business/Data Analytics, or similar)
  • 18 months' work experience building quantitative and statistical models in the consumer financial lending or lease-to-own (LTO) industry.
  • Experience must include leveraging Python, R, and Excel for statistical analysis and creating pivot tables and using decision-tree modeling tools for predictive analysis


Compensation and Benefits:
  • Base Salary: Earn a competitive base salary $127,500 - $140,000
  • Healthcare: We prioritize your well-being by covering 80% of medical, dental, and vision insurance costs, including coverage for your spouse, children, and other 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.

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