Happy Money is a leading consumer finance company dedicated to helping people achieve their goals through responsible lending. Through its fully-digital platform, Happy Money partners with credit unions, banks and asset managers to originate high-quality credit solutions, diversify their portfolios and expand their impact and reach nationwide.
Backed by investors like TruStage Ventures, Happy Money enables financial institutions to grow as a force for good in their communities while helping people use money as a tool for their happiness. Together with their community-focused capital partner network, Happy Money has originated over $6 billion in loans representing more than 300,000 members who have taken greater control of their financial futures. Learn more at happymoney.com.
About The Role
As a Lead Business Analyst for Fraud Risk at Happy Money, you’ll serve as a key individual contributor responsible for developing, analyzing, and optimizing our fraud risk strategy. Sitting within the Risk and Analytics team, you will own fraud risk analytics, fraud forecasting, metrics governance, and continuous improvement initiatives that enhance both fraud prevention and customer experience.
You’ll work cross-functionally with Fraud Operations, Product, and Engineering to drive proactive, data-driven fraud detection strategies that help protect Happy Money and our lending partners at scale.
Responsibilities
- Develop and implement fraud strategies leveraging data, machine learning models and advanced analytics tools to mitigate fraud losses and maintain superior customer experience.
- Manage and optimize existing strategies effectively controlling risks due to first party and third-party fraud.
- Design A/B tests and understand the risk and customer experience trade-offs.
- Lead fraud forecasting and budgeting activities by modeling fraud losses, operational impacts, and fraud trend assumptions.
- Lead the efforts to constantly iterate and improve existing strategies while identifying additional automation opportunities.
- Continue to innovate by testing new data, analytics approaches and models.
- Monitor and analyze portfolio performance at a granular segment level on an ongoing basis. Identify trends and conduct root-cause analysis to isolate key performance drivers.
- Communicate findings and recommendations to the Risk Team and the broader Happy Money community.
- Identify and evaluate new vendors/data sources and create business cases and present them to senior management.
- Partner with Product, Marketing, Engineering and external vendor teams to implement strategies and monitor the strategy performance.
- Bring innovative/out of the box thinking to solve problems and make recommendations.
- Conduct ad-hoc analysis related to risk management, product, operations.
- Drive feedback loops using member complaints, bureau data, and operations insights to improve fraud detection performance.
- Provide subject matter expertise during fraud incidents, investigations, and root cause analyses.
About You
- 4+ years of experience in business analytics and/or data science
- 2+ years of experience in quantitative analytics, with a strong preference for credit risk or fraud risk
- Bachelor’s or Master’s degree in Business, Statistics, Mathematics, Computer Science, Engineering or Economics
- Strong analytical and problem-solving skills: deep experience working with data-driven business strategies and rule/policy making, with a strong preference toward those doing so in identity fraud.
- Strong proficiency with Python & SQL and the ability to analyze large, complex datasets and derive actionable insights
- Familiarity with machine learning models or techniques
- Excellent problem-solving skills with the ability to synthesize complex data into actionable insights for both technical and non-technical audiences
BONUS POINTS FOR
- Strong understanding of fraud metrics, fraud data vendors, operations, forecasting methods, and false positive/true fraud tradeoffs
- Experience building machine learning-driven fraud strategies or hybrid rules/ML fraud systems
- Prior experience in a high-growth fintech, lending, or digital banking environment
Benefits & Perks
- Generous medical, dental, and vision insurance options
- Eligible for Annual Bonus
- 401k Plan with a matching contribution
- Flexible PTO
- Monthly Health and Wellness Days
- 12 Weeks Paid Parental Leave
- Company-paid short & long term disability and life insurance
- Monthly tech stipend to help cover expenses for remote work
- Happy Money is a 100% fully distributed workforce
Base Salary Range: $135,000 USD - $155,000 USD