Strategic Risk Analytics Analyst

U.S. Bank; New York (NY); On-site; USD 93,000 - 109,000; Full time

Benefits offered by this job

Healthcare (medical, dental, vision)

401(k) and employer-funded retirement

Paid vacation

Adoption assistance

Sick and Safe Leave

Job summary

U.S. Bank is seeking a detail-oriented Data Analyst to support Strategic Risk Analytics and Governance. You will translate complex data into clear insights for risk partners and senior management, leveraging SQL, Python or R, and BI tools to inform decisions.

The role requires strong data quality discipline, effective communication, and the ability to manage multiple priorities while delivering high-quality analyses in a regulated financial services environment.

Qualifications

• Bachelor's degree or equivalent work experience.
• 5+ years in data analytics, financial risk, or related field.
• SQL and advanced spreadsheet analysis proficiency.
• Experience with Python, R, or similar.
• Experience with Power BI or Tableau and Excel.

Responsibilities

• Collect, organize, validate, and analyze data from multiple sources to support risk analysis and governance.
• Support cross-risk analysis across liquidity, interest rate risk, capital, market risk, and regulatory reporting.
• Monitor data quality, investigate exceptions, document findings, and work with data owners to resolve issues.
• Prepare clear presentations and governance reporting for risk committees and senior management.
• Automate recurring data preparation and reporting processes with quality control.
• Collaborate with Treasury, Balance Sheet Risk Management, and other risk partners.
• Assist with ad hoc analyses, risk assessments, and strategic initiatives as needed.
• Keep current on analytical techniques, data tools, and regulatory guidance.

Skills

SQL

Advanced spreadsheet analysis

Python or R

Data analysis

Education

Bachelor's degree

Tools

Power BI

Tableau

Excel

Job description

U.S. Bank is seeking a detail-oriented Data Analyst to support Strategic Risk Analytics and Governance. You will translate complex data into clear insights for risk partners and senior management, leveraging SQL, Python or R, and BI tools to inform decisions.

The role requires strong data quality discipline, effective communication, and the ability to manage multiple priorities while delivering high-quality analyses in a regulated financial services environment.