Data Analyst / Data Engineer – Fraud & Risk
Location: Richmond, VA
Schedule: Hybrid, 3 days onsite per week
Employment Type: Contract, with potential for extension
Pay Range: $50-52 per hour
Position Overview
We are seeking a Data Analyst/Data Engineer to support fraud, disputes, and risk-related initiatives. This role will focus on business monitoring, risk analysis and remediation, and fraud/card data architecture. You’ll work closely with risk-focused teams to help convert data populations and control scripts while supporting broader monitoring and data initiatives.
Key Responsibilities
- Support fraud, disputes, and risk monitoring initiatives.
- Analyze large datasets using SQL and Python , with a stronger emphasis on SQL.
- Work with fraud and credit card data architecture.
- Support risk analysis, remediation, and business monitoring.
- Convert existing data populations and control scripts.
- Work with Databricks, Snowflake, and AWS/S3 .
- Partner across risk-related teams to support data and control initiatives.
Required Qualifications
- Strong SQL experience.
- Working experience with Python .
- Hands-on experience with Databricks .
- Experience with Snowflake .
- Experience working within AWS , preferably S3 .
- Understanding of data tables, data structures, and data architecture .
- Ability to work onsite in Richmond, VA three days per week.
Preferred Qualifications
- Experience with Tableau and/or Amazon QuickSight .
- Fraud, disputes, or risk management experience.
- Experience working within risk frameworks or risk remediation.
- Credit card or financial services experience.
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