Senior Member Risk & Experience Analyst

SoFi SoFi · Fintech · Jacksonville, FL · Member Service Delivery Strategy

This role focuses on risk and member experience within a financial institution, analyzing member feedback, fraud data, and dispute processes to identify and offboard high-risk actors while improving Net Promoter Score (NPS) and First Call Resolution (FCR). The analyst will use SQL and Python for data analysis, develop business cases, and monitor the fraud ecosystem.

What you'd actually do

  1. Analyze member feedback and Net Promoter Scores (NPS) specifically related to fraud and dispute touchpoints. You will identify "friction points" where our security protocols may be alienating legitimate members and recommend data-driven adjustments.
  2. Conduct comprehensive forensic analysis of existing fraud and dispute workflows. You will use SQL and behavioral data to identify "sleeper" accounts and high risk members, while simultaneously pinpointing bottlenecks that negatively impact NPS and FCR.
  3. Apply data-driven criteria to identify high-risk members for offboarding. You will prepare the data sets for adverse action, ensuring we exit "bad members" based on clear evidence of behavioral or dispute-related risk. Reporting on impacts to the business.
  4. Prepare cost-benefit analyses that justify the prioritization of fraud prevention and member experience. You will quantify the ROI of a "Member-First" friction reduction strategy, showing how improved FCR and NPS lead to higher member retention, reduce complaints, and lower operational costs.
  5. Continuously monitor the "health" of the fraud and dispute ecosystem. You will identify and document a backlog of new opportunities for risk reduction and experience improvement, ensuring stakeholders are aware of emerging trends that require future attention.

Skills

Required

  • Bachelor or advanced degree in Statistics, Business Analytics, Math or Economics.
  • Strong data technical skills on databases, Excel/SQL/Python and data dashboard tools.
  • Able to use different types of data to define business needs
  • Highly motivated to drive change, eager to learn and create new things from scratch and able to work collaboratively in a complex and fluid environment.
  • Experience of developing analysis structure using different data sources and analytical methods to meet business needs.
  • Capability of defining and building business metrics and dashboard infrastructures and know how to automate the manual process to improve efficiency.
  • Able to connect the dots between data and businesses to provide meaningful insights and actionable enhancements.
  • Knows how to troubleshoot data and metrics gaps and be innovative to solve both technical and business problems
  • Very strong communication skills by connecting the dots with the big picture with data and facts to support the story.

What the JD emphasized

  • data-driven
  • risk mitigation
  • member advocacy
  • NPS
  • FCR
  • fraud
  • dispute