Data Analytics 5

U.S. Bank; Milwaukee (WI); On-site; USD 90,000 - 130,000; Full time

Benefits offered by this job

Healthcare

Life insurance

Short-term disability

Long-term disability

Parental leave

Retirement plan (401k)

Paid vacation

Paid holidays

Adoption assistance

Sick leave

Job summary

U.S. Bank is seeking a skilled data analytics professional to join the Consumer and Business Banking Loss Forecasting team in Milwaukee.

The role emphasizes forecasting experience and model risk governance to understand forecast outcomes and their financial impact on lending portfolios, including mortgage and consumer segments. Ideal candidates bring 5–7 years in statistical analytics, proficiency with SQL, R, Python, and other analytics tools, and a background in banking or financial services.

Qualifications

• Bachelor's degree in a related field or equivalent work experience.
• Five to seven years of statistical and/or data analytics experience.
• Experience with credit loss forecasting and forecast analysis.
• Experience in unsecured and secured lending.
• Ownership with models and/or Model Risk Governance.
• Banking or financial services experience in credit, forecasting, modeling, or credit strategy.
• Ability to analyze forecast outcomes and understand their financial impact.
• Working knowledge of analytics 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 to extract and interpret trends or patterns in complex data sets.
• Demonstrated project management skills.
• Effective interpersonal, verbal and written communication skills.

Responsibilities

• Work 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.

Skills

Credit loss forecasting

Forecast analysis

Analytical skills

Model risk governance

Statistical methods

Education

Bachelor's degree in a related field

Tools

SQL

R

Python

Excel

SAS

SPSS

Hadoop

Geospatial tools

Job description

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.

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.

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

Our approach to benefits and total rewards considers our team members’ whole selves and what may be needed to thrive in and outside work. That's why our benefits are designed to help you and your family boost your health, protect your financial security and give you peace of mind. Our benefits include the following:

• Healthcare (medical, dental, vision)
• Basic term and optional term life insurance
• Short-term and long-term disability
• Pregnancy disability and parental leave
• 401(k) and employer-funded retirement plan
• Paid vacation (from two to five weeks depending on salary grade and tenure)
• Up to 11 paid holiday opportunities
• Adoption assistance
• Sick and Safe Leave accruals of one hour for every 30 worked, up to 80 hours per calendar year unless otherwise provided by law

Review our full benefits available by employment status here.

U.S. Bank is an equal opportunity employer. We consider all qualified applicants without regard to race, religion, color, sex, national origin, age, sexual orientation, gender identity, disability or veteran status, and other factors protected under applicable law.

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 will consider qualified applicants with arrest or conviction records for employment. U.S. Bank conducts background checks consistent with applicable local laws, including the Los Angeles County Fair Chance Ordinance and the California Fair Chance Act as well as the San Francisco Fair Chance Ordinance. U.S. Bank is subject to, and conducts background checks consistent with the requirements of Section 19 of the Federal Deposit Insurance Act (FDIA). In addition, certain positions may also be subject to the requirements of FINRA, NMLS registration, Reg Z, Reg G, OFAC, the NFA, the FCPA, the Bank Secrecy Act, the SAFE Act, and/or federal guidelines applicable to an agreement, such as those related to ethics, safety, or operational procedures.

Applicants must be able to comply with U.S. Bank policies and procedures including the Code of Ethics and Business Conduct and related workplace conduct and safety policies.

Posting may be closed earlier due to high volume of applicants.