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Data Validation Risk Analyst - Consumer & Business Banking - U.S. Bank
Software Engineer
Data Validation Risk Analyst responsible for ensuring accuracy and integrity of consumer and business banking data, applying SQL, Python, and advanced Excel techniques to detect anomalies, support risk assessments, and maintain compliance with regulatory standards.
About the role
Key Responsibilities
- Conduct comprehensive data validation checks across consumer and business banking datasets to identify and resolve discrepancies.
- Develop and maintain SQL queries and Python scripts for automated data quality monitoring and reporting.
- Collaborate with risk, compliance, and product teams to define data validation rules and improve data governance processes.
- Analyze data trends to support risk assessment models and provide actionable insights to senior stakeholders.
- Document validation procedures, maintain audit trails, and ensure adherence to regulatory requirements.
Requirements
- Bachelor’s degree in Finance, Economics, Computer Science, or related field.
- 3+ years of experience in data validation, risk analysis, or data quality within a banking or financial services environment.
- Proficiency in SQL, Python, and advanced Excel (pivot tables, macros).
- Strong analytical skills with a keen eye for detail and problem‑solving ability.
- Excellent communication skills and ability to work cross‑functionally in a fast‑paced setting.
Skills
data analysissqlexcelpython