ABOUT EARNIN

As one of the first pioneers of earned wage access, our passion at EarnIn is building products that deliver real-time financial flexibility for people living paycheck to paycheck. Our community members access their earnings as they earn them, with options to spend, save, and grow their money without mandatory fees, interest rates, or credit checks. We’re fortunate to have an incredibly experienced leadership team, combined with world-class funding partners like A16Z, Matrix Partners, DST, Ribbit Capital, and a very healthy core business with a tremendous runway. We’re growing fast and excited to bring on world-class talent to help shape the next chapter of our growth journey.

EarnIn is becoming an AI-native company, embedding AI agents into how we build, analyze, and operate across every function. Teams use AI Agents to move from ideas to execution faster. By letting agents handle repetitive tasks, our people can focus on judgment, creativity, and hard problems. We pair this experimentation with the strict review and security guardrails our regulated financial environment requires, always keeping a focus on privacy and the people who rely on our products.

As a company, we are becoming AI-native, and we encourage you to use AI tools throughout much of your interview process. If you use AI during the live interview, just say so; a quick, natural mention of how it helped and why you are using it is all we need. What we're evaluating is your judgment, reasoning, and ability to own and defend your work, not whether AI was involved. Some rounds, particularly those focused on your career history and past experiences, will not allow the use of AI, and we'll let you know of those in advance. When in doubt, ask your recruiter or interviewer directly.

POSITION SUMMARY

Our Risk team takes a unique approach to risk management, portfolio management, and interacting with our community members. As a Staff Risk Analyst, you'll turn information into insights through analytics, data science, and experimentation to help the company achieve tremendous growth. You'll represent risk analytics for credit risk management, with a focus on limit/max policy, member retention, and forecasting.

The base salary range for this full-time position is $173,928 – $245,773 plus equity and benefits. Our salary ranges are determined by role, level, and location. This is a remote role in the US, however those local to Mountain View (headquarters) will require in-office work 2 days a week.

WHAT YOU'LL DO

Own policy optimization for member credit limits, balancing retention, churn, and risk exposure
Design, run, and evaluate policy experiments and A/B tests, translating results into concrete policy changes
Own forecasting and reporting infrastructure that keeps risk and portfolio performance visible to stakeholders
Proactively explore data to identify opportunities to refine risk management strategies and surface emerging risk trends
Define performance metrics and build reports/dashboards to monitor policy and portfolio performance
Partner closely with Machine Learning, Product, Engineering, and Operations to translate analysis into shipped policy and product changes
Work closely with the Machine Learning team throughout the model development lifecycle, helping shape how risk models are built since you'll be a primary consumer of their outputs
Monitor deployed models in production, tracking performance and stability over time and flagging drift or degradation that should inform retraining or redesign
Partner with Product to understand customer anecdotes and pain points, and design risk policy with customer experience in mind alongside risk and business outcomes
7+ years of experience in a credit risk analytics, decision science, or risk strategy role, ideally within fintech or consumer financial products
Expert in SQL; comfortable with Python for analysis and experimentation
Working knowledge of fintech risk fundamentals, including risk strategy development, limit/max policy, and portfolio monitoring