Job Description
Data Analyst / Data Engineer – Fraud & Risk
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Location: Richmond, VA
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Schedule: Hybrid, 3 days onsite per week
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Employment Type: Contract, with potential for extension
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Pay Range: $50-52 per hour
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Position Overview
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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.
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Key Responsibilities
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- 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.
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Required Qualifications
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- 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.
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Preferred Qualifications
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- 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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