Fraud Risk Data Scientist: Investigations & Automation

Ativesite; Chicago (IL); Hybrid; USD 109,000 - 150,000; Full time

Benefits offered by this job

Health benefits

Vacation policy

Wellness stipend

Paid parental leave

Job summary

CHIME is hiring a Risk Analyst to reduce fraud losses and strengthen risk processes. You will investigate selected fraud and dispute cases, bring together statements, transaction history, and risk signals, and document outcomes under established policies.

You will partner with Product, Engineering, Data Analytics, Operations, and Member Experience teams to move between portfolio-level questions and ground-level investigations, turning evidence into stronger risk decisions.

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.

Responsibilities

• Analyze fraud and loss trends; identify drivers; quantify opportunities; recommend loss-reducing actions with minimal member friction.
• Investigate fraud and dispute cases from intake to resolution; document evidence quality and next steps per policies.
• Improve processes and automation by applying AI and automation to disputes and fraud workflows; test and validate outputs.
• Build reporting and dashboards to monitor risk performance against loss and member-experience metrics.
• Collaborate on ad hoc needs; communicate findings clearly to technical and non-technical audiences.

Skills

SQL

Google Sheets

Python

Education

Bachelor's or Master's in engineering, statistics, mathematics, or economics

Job description

CHIME is hiring a Risk Analyst to reduce fraud losses and strengthen risk processes. You will investigate selected fraud and dispute cases, bring together statements, transaction history, and risk signals, and document outcomes under established policies.

You will partner with Product, Engineering, Data Analytics, Operations, and Member Experience teams to move between portfolio-level questions and ground-level investigations, turning evidence into stronger risk decisions.