Staff Risk Analyst
earnin • Remote, US
Posted: April 13, 2026
Job Description
POSITION SUMMARY
We are seeking a Staff Risk Analyst (Fraud) to partner closely with the Chief Risk Officer. This role is the single accountable owner of EarnIn's fraud risk management. You will operate as the company's fraud SME, setting direction, influencing architecture, and driving alignment across Engineering, Product, Compliance, and Fraud Ops.
The scope goes well beyond analysis — you will own the full lifecycle from strategy through implementation and operations, and your impact will be felt across every product and every customer interaction at EarnIn.
This is a remote position offering the opportunity to create meaningful impact in a dynamic, fast-paced fintech environment. The US base salary range for this full-time position is $170,000-$210,000 + equity + benefits. Our salary ranges are determined by role, level, and location.
WHAT YOU'LL DO
Fraud & Identity Strategy
- Own the full fraud policy lifecycle — spanning identity verification, account opening, deposits, card transactions, and key monetary actions — from signal analysis and risk design through rule implementation, monitoring, iteration, and ongoing optimization
- Proactively identify emerging fraud vectors and redesign controls before losses materialize
- Support AML rule design, simulation, and governance in partnership with Financial Crimes Compliance
Cross-Functional Program Leadership
- Define the long-term fraud strategy that anchors roadmap priorities across Product and Engineering
- Lead fraud initiatives spanning Engineering, Product, Compliance, Fraud Ops, and external partners including Visa and banking partners
- Serve as the primary escalation point during fraud incidents and ATO attacks — leading real-time response across teams
- Drive alignment on risk decisions that balance fraud exposure, customer experience, and regulatory requirements simultaneously
Analytics & Organizational Enablement
- Build and maintain fraud dashboards enabling real-time monitoring and self-serve analytics
- Mentor junior analysts and build knowledge transfer programs to scale fraud capability across the organization
WHAT WE'RE LOOKING FOR
- 7+ years in analytics within fintech or consumer products
- Bachelor’s, Master’s, or PhD, or equivalent industry experience
- Demonstrated experience with SQL and have experience with Python or R
- Experience with external fraud platforms such as Visa Risk Manager, Socure or equivalent
- Experience with Periscope, Tableau, Databricks, Amplitude, and/or Optimizely is a plus
- Demonstrated ability to lead cross-functional programs without formal authority
- Proven track record of driving structural improvements in fraud outcomes across multiple domains simultaneously
- Skilled at using data to identify emerging fraud trends, quantify exposure, and translate analytical findings into actionable policy and control changes
- Strong understanding of how a credit card program works end-to-end — including transaction lifecycle, authorization and decline flows, dispute and chargeback processes, credit reporting obligations, and the relationship between card networks, issuing banks, and program managers
- Strong communicator who can translate fraud concepts for non-technical audiences and business requirements into system design decisions
- Comfortable operating under ambiguity and driving from incident to structured action quickly
#LI-Remote
Additional Content
POSITION SUMMARY
We are seeking a Staff Risk Analyst (Fraud) to partner closely with the Chief Risk Officer. This role is the single accountable owner of EarnIn's fraud risk management. You will operate as the company's fraud SME, setting direction, influencing architecture, and driving alignment across Engineering, Product, Compliance, and Fraud Ops.
The scope goes well beyond analysis — you will own the full lifecycle from strategy through implementation and operations, and your impact will be felt across every product and every customer interaction at EarnIn.
This is a remote position offering the opportunity to create meaningful impact in a dynamic, fast-paced fintech environment. The US base salary range for this full-time position is $170,000-$210,000 + equity + benefits. Our salary ranges are determined by role, level, and location.
WHAT YOU'LL DO
Fraud & Identity Strategy
- Own the full fraud policy lifecycle — spanning identity verification, account opening, deposits, card transactions, and key monetary actions — from signal analysis and risk design through rule implementation, monitoring, iteration, and ongoing optimization
- Proactively identify emerging fraud vectors and redesign controls before losses materialize
- Support AML rule design, simulation, and governance in partnership with Financial Crimes Compliance
Cross-Functional Program Leadership
- Define the long-term fraud strategy that anchors roadmap priorities across Product and Engineering
- Lead fraud initiatives spanning Engineering, Product, Compliance, Fraud Ops, and external partners including Visa and banking partners
- Serve as the primary escalation point during fraud incidents and ATO attacks — leading real-time response across teams
- Drive alignment on risk decisions that balance fraud exposure, customer experience, and regulatory requirements simultaneously
Analytics & Organizational Enablement
- Build and maintain fraud dashboards enabling real-time monitoring and self-serve analytics
- Mentor junior analysts and build knowledge transfer programs to scale fraud capability across the organization
WHAT WE'RE LOOKING FOR
- 7+ years in analytics within fintech or consumer products
- Bachelor’s, Master’s, or PhD, or equivalent industry experience
- Demonstrated experience with SQL and have experience with Python or R
- Experience with external fraud platforms such as Visa Risk Manager, Socure or equivalent
- Experience with Periscope, Tableau, Databricks, Amplitude, and/or Optimizely is a plus
- Demonstrated ability to lead cross-functional programs without formal authority
- Proven track record of driving structural improvements in fraud outcomes across multiple domains simultaneously
- Skilled at using data to identify emerging fraud trends, quantify exposure, and translate analytical findings into actionable policy and control changes
- Strong understanding of how a credit card program works end-to-end — including transaction lifecycle, authorization and decline flows, dispute and chargeback processes, credit reporting obligations, and the relationship between card networks, issuing banks, and program managers
- Strong communicator who can translate fraud concepts for non-technical audiences and business requirements into system design decisions
- Comfortable operating under ambiguity and driving from incident to structured action quickly
#LI-Remote