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U.S. Bank Sr. Data Analyst in Cincinnati, Ohio

At U.S. Bank, we're passionate about helping customers and the communities where we live and work. The fifth-largest bank in the United States, we’re one of the country's most respected, innovative and successful financial institutions. U.S. Bank is an equal opportunity employer committed to creating a diverse workforce. We consider all qualified applicants without regard to race, religion, color, sex, national origin, age, sexual orientation, gender identity, disability or veteran status, among other factors.

Job DescriptionWholesale Portfolio Risk Management (WPRM) is responsible for portfolio management for the wholesale portfolio across U.S. Bank. The functions include risk identification, risk appetite, portfolio construction and asset allocation strategies, and management of concentration, correlation and specialized risks and the associated risk mitigation. The team provides independent risk management and governance. The Group works closely with the business and various other key constituents to build out a comprehensive and proactive approach to portfolio management that promotes a strong risk management culture, aligned with U.S. Bank’s risk appetite.

Description

The Sr. Data Analyst role, as part of Credit Risk Management, provides credit risk analytics support for the Wholesale Commercial portfolios. This role includes the opportunity to develop analytics supporting many key strategic initiatives that are highly visible and important to the success of the Wholesale Portfolio Risk Management. Role consist of developing, building and writing programming code (through SAS, R, Python, or other SQL tools) for analysis and reporting by aggregating data across multiple databases to discover source and cause of the risks identified. Identify, analyze, and interpret trends or patterns in complex data in order to provide answers to business questions as well as provide recommendations for action. Present data and analysis in a clear and concise manner allowing senior management to quickly understand the results and recommendations so they can make data driven decisions. Basic Qualifications - Bachelor's degree in a quantitative field such as econometrics, computer science, engineering or applied mathematics, or equivalent work experience - Five to seven years of statistics or analytics experience

Preferred Skills/Experience - Working knowledge of analytics and statistical software such as SQL, R, Python, Excel, Hadoop, SAS, SPSS, Geo-spatial tools and others to perform analysis and interpret data - Experience in analytics, advanced analytics/statistics, predictive modeling - Strong analytic skills with the ability to extract, collect, organize, analyze and interpret trends or patterns in complex data sets - Demonstrated project management skills - Effective interpersonal, verbal and written communication skills

Benefits: Take care of yourself and your family with U.S. Bank employee benefits. We know that healthy employees are happy employees, and we believe that work/life balance should be easy to achieve. That's why we share the cost of benefits and offer a variety of programs, resources and support you need to bring your full self to work and stay present and committed to the people who matter most - your family.

Learn all about U.S. Bank employee benefits, including tuition reimbursement, retirement plans and more, by visiting usbank.com/careers.

EEO is the Law Applicants can learn more about the company’s status as an equal opportunity employer by viewing the federal EEO is the Law poster.

E-Verify U.S. Bank participates in the U.S. Department of Homeland Security E-Verify program in all facilities located in the United States and certain U.S. territories. The E-Verify program is an Internet-based employment eligibility verification system operated by the U.S. Citizenship and Immigration Services. Learn more about the E-Verify program.

U.S. Bank is an equal opportunity employer committed to creating a diverse workforce. We consider all qualified applicants without regard to race, religion, color, sex, national origin, age, sexual orientation, gender identity, disability or veteran status, among other factors.

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