Staff Risk Analyst
EarnIn is hiring a Staff Risk Analyst. It pays $174k-$246k a year and Level rates it ; you can apply on Level.
AI in this role
Lead risk analytics, policy optimization, and collaborate closely with machine learning teams on credit risk models.
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 those with the unique needs of 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 are excited to continue bringing world-class talent onboard to help shape the next chapter of our growth journey.
Position SummaryOur 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
- Experience designing and evaluating A/B tests or policy experiments, and translating results into recommendations
- Comfortable working with forecasting or curve-based modeling (e.g., cash flow, loss, or usage forecasts)
- Strong communicator who can translate analytical findings into clear, actionable business recommendations
- Able to work cross-functionally with Machine Learning, Product, Engineering, and Operations
- Ability to think creatively and thrive in a fast-paced, dynamic, and often ambiguous environment
#LI-Remote
At EarnIn, we believe that the best way to build a financial system that works for everyday people is by hiring a team that represents our diverse community. Our team is diverse not only in background and experience but also in perspective. We celebrate our diversity and strive to create a culture of belonging. EarnIn does not unlawfully discriminate based on race, color, religion, sex (including pregnancy, childbirth, breastfeeding, or related medical conditions), gender identity, gender expression, national origin, ancestry, citizenship, age, physical or mental disability, legally protected medical condition, family care status, military or veteran status, marital status, registered domestic partner status, sexual orientation, genetic information, or any other basis protected by local, state, or federal laws. EarnIn is an E-Verify participant.
EarnIn does not accept unsolicited resumes from individual recruiters or third-party recruiting agencies in response to job postings. No fee will be paid to third parties who submit unsolicited candidates directly to our hiring managers or HR team.
How we rate this
Staff Risk Analyst at EarnIn rates 60 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.
Works on AI. The daily work is on AI products, without building the model.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.
Prepare for this job
A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.
Skills and AI tools this role asks for
Questions you could be asked
- Tell me about a project where risk management was part of your work. What did you do?
- Tell me about a project where data science was part of your work. What did you do?
- Tell me about a project where machine learning was part of your work. What did you do?
- Tell me about a project where experimentation was part of your work. What did you do?
- Walk me through how you've used Runway in your day-to-day work.
Adapt your resume
- List these exact terms on your resume: Risk Management, Data Science, Machine learning, Experimentation, and Runway. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.
- Show where AI is part of your daily process, not a one-off project — this role expects it to be a running habit.
Want an expert to read your CV for this job?
Free. Send your CV and the role you want next. We reply by email within 2 to 4 business days.
Get new remote AI jobs (Works on AI ●●●○ or higher) by email
One email a week with the new remote AI jobs (Works on AI ●●●○ or higher), each rated for how much AI is in the work. No recruiter spam, unsubscribe in one click.
Free. One email a week. Unsubscribe in one click.
Similar roles
Other roles that work on AI, at other companies.
What kind of AI work fits you?
Answer 12 practical questions in about three minutes. Get a simple profile, the work it points to, and live roles to explore next.
Find my next step