Staff Risk Analyst, Fraud Program Management

Shape a brighter financial future with us.

Together with our members, we’re changing the way people think about and interact with personal finance.
We’re a next-generation fintech company using innovative, mobile-first technology to help our millions of members
reach their goals. The industry is going through an unprecedented transformation, and we’re at the forefront. We’re
proud to come to work every day knowing that what we do has a direct impact on people’s lives, with our core values
guiding us every step of the way. Join us to invest in yourself, your career, and the financial world.

The Role

The Fraud Program is seeking a Staff Risk Analyst to lead data governance initiatives, analytics, and reporting across
the Fraud Center of Excellence (CoE). This role will serve as a key partner in developing, maintaining, and enhancing
fraud KPIs, KRIs, dashboards, and enterprise risk reporting to enable data-driven decision making and effective fraud
risk oversight.

The Staff Risk Analyst will play a critical role in ensuring data integrity, consistency, and transparency across fraud
metrics, while delivering actionable insights into fraud performance, emerging risks, and operational effectiveness
across all products and fraud domains.

This role will partner closely with Fraud Strategy, Operations, Risk, Data, and Business Intelligence teams to build
scalable analytics solutions, standardize metric definitions, and improve enterprise-wide visibility into fraud risk.
The ideal candidate will bring a strong technical data background, experience in risk analytics, and a passion for
building scalable data and reporting frameworks within a fast-paced fintech environment. Additionally, the
candidate will also have strong proficiency in SQL, Python, Snowflake, and Tableau. You’ll need to be a self-motivated
leader with the ability to drive cross-functional collaboration between all lines of business. IIf you love working with
data and have a passion for doing the right thing, we want to hear from you!

What you’ll do:

Fraud Data Analytics, Insights, and Data Governance (Primary Focus)
● Analyze fraud data across products and channels to identify trends, anomalies, and emerging fraud risks.
● Develop data-driven insights and recommendations to support fraud strategy, operations, and risk
management decisions.
● Partner with cross-functional teams to translate business problems into analytical solutions that improve
fraud detection, prevention, and member experience.
● Establish and enforce data governance standards for fraud metrics- including data definitions, lineage, and
controls; and effectively leading a strategic data governance council cross-functionally.
● Identify and resolve data quality, consistency, and availability issues impacting fraud reporting and
analytics.
● Partner with Data Engineering and BI teams to ensure reliable, scalable, and well-documented data
sources.
KPI / KRI Framework & Performance Monitoring
● Support the design, development, and ongoing enhancement of Fraud KPIs, KRIs, and Risk Appetite

 

Statement (RAS) metrics across the Fraud CoE.

● Ensure consistent metric definitions, calculations, and reporting methodologies across business units.
● Monitor metric performance and provide insights into drivers of variance, trends, and risk signals.
Dashboarding & Reporting
● Assist in designing, building, and maintaining Tableau