Market Risk Data Analytics Engineer (AI & Automation)

U.S. Bank; Minneapolis (MN); On-site; USD 132,000 - 156,000; Full time

Benefits offered by this job

Healthcare (medical, dental, vision)

401(k) and retirement plan

Paid vacation and holidays

Parental leave

Job summary

U.S. Bank is seeking a Market Risk Data Analytics Specialist to support risk reporting, data analysis, and automation using VBA, SQL, Python, and AI-enabled capabilities.

The role collaborates with Market Risk, Front Office, Technology, Finance and Model Risk to enhance the accuracy, transparency, and auditability of risk metrics. Ideal candidates have strong Excel/VBA, SQL, Python skills, and experience with VaR, P&L, back-testing, and data governance to drive improved risk insights and

Qualifications

• Bachelor’s degree or equivalent work experience.
• Minimum five years in financial services, market risk, or related analytics.
• Strong knowledge of VaR, stress testing, P&L, and risk factor movements.
• Advanced Excel, VBA and SQL; Python or R is a plus.
• Experience with data governance and regulatory reviews.

Responsibilities

• Develop and maintain market risk reporting tools, dashboards, and data extracts.
• Automate recurring processes using VBA, SQL, Python, and related tools.
• Analyze market risk data: VaR, stress tests, P&L, risk factors.
• Investigate data quality issues and support data lineage documentation.
• Collaborate across Market Risk, Front Office, Technology, Finance, and Model Risk.
• Evaluate AI/machine learning opportunities for risk analytics and governance.

Skills

Advanced Excel

VBA

SQL

Python

Data analytics

AI-enabled analytics

Education

Bachelor’s degree in Finance, Economics, Mathematics, Statistics, Computer Science or related

Five years in financial services or market risk analytics

Master’s degree is a plus

Tools

Power BI

Tableau

Alteryx

Excel (Advanced)

Job description

U.S. Bank is seeking a Market Risk Data Analytics Specialist to support risk reporting, data analysis, and automation using VBA, SQL, Python, and AI-enabled capabilities.

The role collaborates with Market Risk, Front Office, Technology, Finance and Model Risk to enhance the accuracy, transparency, and auditability of risk metrics. Ideal candidates have strong Excel/VBA, SQL, Python skills, and experience with VaR, P&L, back-testing, and data governance to drive improved risk insights and