Insights Analyst (Dispute Experience)

Join Chime, a leading fintech company, as an Insights Analyst in the Trust & Safety Pillar. In this critical role, you will deliver deep analytical insights across various teams, directly influencing how Chime protects its members and drives operational efficiency. You will partner closely with Fraud Ops, Disputes Ops, Risk, Product, and Engineering teams to diagnose emerging risks, quantify operational impacts, and develop recommendations for improvement. This position requires strong analytical skills, exceptional communication abilities, and a deep understanding of the intersection of product, operations, and engineering in Trust & Safety domains.

• Conduct in-depth analyses to identify root causes and develop actionable recommendations for improving Trust & Safety processes.
• Collaborate with cross-functional teams to evaluate and enhance AI-enabled workflows, including automated decisioning and classification models.
• Design and evaluate A/B tests, policy changes, and operational interventions to inform data-driven rollout decisions.
• This role requires a strategic thinker who can proactively identify gaps, drive analytical frameworks, and ensure cross-functional alignment in a rapidly evolving Trust & Safety environment
• Strong understanding of how product, operations, and engineering intersect in Trust & Safety domains
• Experience with BI tools such as Looker or Mode
• Outstanding written and verbal communication skills, especially in synthesizing complex topics for executives
• Mindset of strong ownership and urgency, proactive communication, and a bias toward action and clarity
• Experience analyzing automation systems, risk models, or ML-driven workflows is a plus
• 5+ years in analytics, ideally in Trust & Safety, Fraud, Risk, or Support Operations
• Ability to break down ambiguous issues into structured analytical frameworks
• Experience evaluating or supporting AI/ML systems, including monitoring false positives/negatives and model performance
• Proficiency in Python or R for experimentation, modeling, and data analysis
• Experience in fintech, digital banking, payments, fraud, or Trust & Safety environments
• Proven track record of taking end-to-end ownership of cross-functional initiatives
• Bachelor’s degree in a quantitative field (Statistics, Data Science, Economics, Mathematics, Computer Science, Engineering)
• Advanced SQL skills (complex joins, window functions, CTEs)
• Ability to drive alignment and decision-making across teams
• Strong understanding of statistics, causal inference, experiment design, and anomaly detection