Data Analytics 5

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. Job Description This role is part of the Consumer and Business Banking (CBB) Loss Forecasting team, which is responsible for evaluating credit losses across mortgage and consumer portfolios and supporting monthly and annual forecasting. The team brings together experience across technology, finance, statistics, credit, forecasting, modeling, and credit strategy.   This position will play an important role in loss forecasting and analytics, with a strong focus on forecasting experience and model risk governance. The successful candidate will bring strong analytical capabilities and the ability to understand forecast outcomes, evaluate their financial impact, and provide meaningful analysis and insights to business partners. Financial services or banking experience is preferred and will support an understanding of the credit and financial environment in which the team operates.   Key Rponsibilities: • Working on big data/analytics projects that gather and integrate large volumes of data, performs analysis, interprets results and develops actionable insights and recommendations for use across the company. • Acquires data from multiple data sources in order to perform analysis. • Identifies, analyzes and interprets trends or patterns in complex data in order to provide answers to business questions as well as provide recommendations for action. • Interprets data and analyzes results using various statistical techniques and tools. • Presents data and analysis in a clear and concise manner, allowing the audience to quickly understand the results and recommendations so they can make data-driven decisions. • Collaborates with various partners to provide a holistic view of the analysis. • Measures and monitors results of applied recommendations and presents adjustments. Ensures all data acquisition, sharing and results of applied recommendations are compliant with company standards.   Basic Qualifications • Bachelor's degree in a related field, or equivalent work experience • Five to seven years of statistical and/or data analytics experience   Preferred Skills/Experience • Experience with credit loss forecasting and forecast analysis • Experience in unsecured and secured lending • Ownership with models and/or experienced in Model Risk Governance • Banking or financial services experience, particularly within credit, finance, forecasting, modeling, or credit strategy • Ability to analyze forecast outcomes and understand their financial impact • Working knowledge of analytics and statistical software such as SQL, R, Python, Excel, Hadoop, SAS, SPSS, geospatial tools and others to perform analysis and interpret data • Experience in analytics, advanced analytics/statistics, and predictive modeling • Strong analytical 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 If there’s anything we can do to accommodate a disability during any portion of the application or hiring process, please refer to our  disability accommodations for applicants . Benefits:   Our approach to benefits and total rewards considers our team