Market Risk Data Analytics Specialist (2)

At U.S. Bank, we’re on a journey to do our best. Helping the customers and businesses we serve to make better and smarter financial decisions and enabling the communities we support to grow and succeed.  We believe it takes all of us to bring our shared ambition to life, and each person is unique in their potential. A career with U.S. Bank gives you a wide, ever-growing range of opportunities to discover what makes you thrive at every stage of your career. Try new things, learn new skills and discover what you excel at—all from Day One.

NOTE: This position is not eligible for current or future visa sponsorship. The Market Risk Data Analytics Specialist will support Market Risk Management through data analysis, reporting automation, risk analytics, and technology-enabled process improvement. This role is intended for a hands-on analytical professional who can work with market risk data, build and maintain reporting tools, investigate data quality issues, and help modernize risk processes using VBA, SQL, Python or similar tools, and emerging AI-enabled capabilities. The successful candidate will partner with Market Risk, Front Office, Technology, Finance, Model Risk, Operations, and other control functions to improve the accuracy, transparency, efficiency, and auditability of market risk reporting and analytics.

Develop, maintain, and enhance market risk reporting tools, dashboards, data extracts, reconciliation processes, and analytical templates used to monitor trading and capital markets risk. Use VBA, SQL, Excel, Python, and other analytical tools to automate recurring market risk processes, reduce manual effort, improve controls, and strengthen reporting consistency. Analyze market risk data, including VaR, stress testing, sensitivities, Greeks, P&L, exposures, limit utilization, back-testing results, and risk factor movements. Investigate and resolve data quality issues related to position data, market data, risk factor data, P&L, model outputs, and downstream reporting exceptions. Support data lineage, data validation, and control documentation for market risk reporting processes, including evidence needed for audit, regulatory, and governance reviews. Partner with Market Risk Managers and quantitative teams to identify drivers of changes in portfolio risk and explain material movements in risk metrics. Assist with model monitoring, back-testing, proxy analysis, stress scenario analysis, data reviews, and recurring committee or senior management reporting. Evaluate opportunities to apply AI, machine learning, natural language processing, or intelligent automation to improve market risk research, documentation, reporting, anomaly detection, workflow efficiency, and management insights. Contribute to the development of AI-enabled analytics in a controlled and transparent manner, including documentation of data sources, assumptions, controls, human review points, limitations, and governance considerations. Work with Technology and data teams to support database enhancements, data acquisition, data storage, process redesign, and modernization of market risk infrastructure. Ideal Candidate Profile The ideal candidate is a market risk data analytics professional who combines strong technical development skills with practical risk management knowledge. The individual should be comfortable working with imperfect data, investigating issues from source systems through final reporting, automating manual processes, and explaining analytical results clearly. The role requires someone who can improve today’s reporting environment while also helping the team evaluate responsible, controlled uses of AI and modern analytics to support future market risk capabilities. Basic Qualifications - Bachelor's degree, or equivalent work experience - Typically more than eight years of applicable experience Required Qualifications Bachelor’s degree in Finance, Economics, Mathematics, Statistics, Computer