Master's degree in a quantitative discipline (Statistics, Operations Research, Economics, Engineering, Data Science, or other STEM fields).
Minimum 2 years of analytical experience in the financial industry; credit risk strategy experience is a plus.
High proficiency in business reporting tools like Power BI and Tableau.
Advanced skills in Python, SQL, SAS, or similar data mining tools; familiarity with decision-tree analysis tools is a plus.
Proven ability to extract actionable insights from data analysis in the financial services or consumer lending sector.
Responsibilities
Leverage complex data sources for quantitative analyses and machine learning modeling to identify business opportunities.
Translate data insights into strategies that drive profitable growth, presenting findings to senior management.
Design and manage A/B tests and pilot programs to evaluate new strategies, including defining test parameters.
Build and maintain dashboards for real-time monitoring of strategy performance across key metrics.
Monitor acquisition and portfolio performance related to credit and fraud risk throughout the account lifecycle.
Assess internal and macroeconomic performance to define risk appetite and maintain business health.
Collaborate with technology and cross-functional teams to ensure quality implementation and performance tracking.
Benefits
Healthcare coverage for 80% of medical, dental, and vision insurance costs for employees and dependents.
401k plan to support retirement savings from day one.
Flexible paid time off starting from the first day of employment to promote 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
Leverage multiple and complex data sources such as credit bureau information, alternative data, consumer behavior, the macro environment, and portfolio performance metrics to perform quantitative analyses, classification/decision-tree analyses and/or machine learning modeling to understand root causes and/or potential business opportunities.
Translate data into meaningful insights, and design, implement and iterate on strategies to drive profitable business growth. Review findings with senior management, including our CRO and CEO.
Design and manage A/B tests, pilot programs, and controlled experiments to evaluate new strategies, including defining test populations, randomization logic, and success criteria.
Build and maintain dashboards and reporting infrastructure to enable real-time monitoring of strategy performance across key metrics.
Monitor our acquisition and portfolio performance related to consumer or merchant credit risk, fraud risk, lease amount, term, channel, and other important metrics across the account lifecycle.
Monitor both internal and macroeconomic performance to define risk appetite and keep the business healthy across economic environments.
Partner with technology, product, and cross-functional teams to ensure timely and quality implementation with diligent test validation. Track the performance to ensure that it meets expectations.
What You'll Bring
Master's degree in a quantitative discipline such as Statistics, Operations Research, Economics, Engineering, Data Science, or other STEM majors.
Minimum 2 years in the financial industry in an analytical function. Experience in credit risk strategy/collections areas is a plus.
High proficiency in business reporting and analytical tools such as Power BI and Tableau is required.
High-level proficiency in Python, SQL, SAS or other data mining and analytical tools. Familiarity with any decision-tree analysis tool, like Enterprise Miner, is a plus.
Experience extracting business insights from data analysis and turning them into clear recommendations in the financial services/consumer lending industry.
Compensation and Benefits:
Base Salary: Earn a competitive base salary of $95,000-$130,000.
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.
