Fraud & Dispute Risk Data Scientist (AI/Automation)

Neobankbeat; Chicago (IL); On-site; USD 109,000 - 150,000; Full time

Job summary

Chime is seeking a Data Scientist for Dispute Risk in Chicago, IL. This on-site role combines data-driven risk analysis with investigative case work to reduce fraud losses and enhance member experience.

You will collaborate with Product, Engineering, and Analytics to drive data-informed risk decisions. Requirements include 2+ years in analytics within fintech, strong SQL, Python preferred, and a quantitative degree.

Qualifications

• 2+ years of analytical experience, preferably in financial services or fintech.
• 2+ years of experience in Fraud, Compliance, Risk, Investigations, or a related field; relevant case-review or dispute experience is a plus.
• Excellent SQL and advanced Google Sheets skills; experience with Python is preferred.

Responsibilities

• Analyze fraud and loss trends; identify drivers and opportunities to reduce losses while minimizing member friction.
• Investigate fraud and dispute cases from intake through resolution; synthesize statements, transaction history, and risk signals.
• Improve processes and automation by applying AI/tools to reduce manual work and improve decision accuracy; validate outputs.

Skills

SQL

Python

Google Sheets

Analytical thinking

Communication

Education

Bachelor's or Master's in a quantitative discipline

Job description

Chime is seeking a Data Scientist for Dispute Risk in Chicago, IL. This on-site role combines data-driven risk analysis with investigative case work to reduce fraud losses and enhance member experience.

You will collaborate with Product, Engineering, and Analytics to drive data-informed risk decisions. Requirements include 2+ years in analytics within fintech, strong SQL, Python preferred, and a quantitative degree.