Insights Analyst, Dispute Experience

Chime Chime · Fintech · United States · Remote · Member Strategy & Enablement (MSEO)

This role focuses on analyzing and improving AI-enabled workflows within a fintech Trust & Safety context. The analyst will partner with Product, Engineering, and Fraud Strategy teams to evaluate automated decisioning, classification models, and agent augmentation tools. Key responsibilities include analyzing model outputs, measuring the impact of automation, and supporting the design of new AI features. The role requires strong analytical skills, experience with SQL and Python/R, and a good understanding of statistics and experiment design, with a focus on improving decision accuracy and operational performance.

What you'd actually do

  1. Partner with Product, Engineering, Fraud Strategy, and Ops to evaluate and improve AI-enabled workflows, including automated decisioning, classification models, and agent augmentation tools.
  2. Analyze model outputs, false positives/negatives, and decision accuracy to recommend enhancements.
  3. Measure operational and member impact of automation changes and support the design of new AI features (e.g., routing logic, contact summarization, anomaly detection).
  4. Define success metrics, KPIs, monitoring frameworks, and develop predictive analytics mechanisms for Disputes and Fraud Ops.
  5. Create concise, executive-level summaries that distill investigations into clear narratives with quantified impacts and recommended next steps.

Skills

Required

  • Advanced SQL skills (complex joins, window functions, CTEs)
  • Proficiency in Python or R for experimentation, modeling, and data analysis
  • Strong understanding of statistics, causal inference, experiment design, and anomaly detection
  • 5+ years in analytics, ideally in Trust & Safety, Fraud, Risk, or Support Operations
  • Experience in fintech, digital banking, payments, fraud, or Trust & Safety environments
  • Outstanding written and verbal communication skills, especially in synthesizing complex topics for executives
  • Proven track record of taking end-to-end ownership of cross-functional initiatives
  • Ability to drive alignment and decision-making across teams

Nice to have

  • Experience analyzing automation systems, risk models, or ML-driven workflows is a plus
  • Experience with BI tools such as Looker or Mode

What the JD emphasized

  • AI-enabled workflows
  • automated decisioning
  • classification models
  • agent augmentation tools
  • model outputs
  • false positives/negatives
  • decision accuracy
  • automation changes
  • AI features
  • automation systems
  • risk models
  • ML-driven workflows

Other signals

  • evaluate and improve AI-enabled workflows
  • analyze model outputs, false positives/negatives, and decision accuracy
  • measure operational and member impact of automation changes
  • support the design of new AI features
  • analyze automation systems, risk models, or ML-driven workflows