Job Description

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, were 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 Description

Creates, validates, tests, documents, implements, and/or oversees usage of complex statistical models. The models may cover a variety of products or services, however, all models are used as part of the financial decision making process. Specific results focus on documenting the creation and/or testing of advanced statistical models and communicating such models to stakeholders within the Bank. Deliverables include the creation of model development and/or validation documentation such as: presentations, written reports, model or reporting code documentation, business requirements, monitoring reports and related code, and procedures.

Basic Qualifications
- Bachelor's degree in a quantitative field, and five to eight years of experience in statistical modeling OR
- Master's or PhD degree in a quantitative field, and less than five years of experience in statistical modeling

Preferred Skills/Experience
- Familiar with OCC-2011-12, SR19-3 and advanced understanding of other Model Risk Regulations, applicable laws, and regulatory trends that affect assigned line of business
- Proficiency with R, Python, SAS and SQL programming languages, with knowledge of related data analysis libraries.
- Extensive knowledge of various regression techniques, parametric and non-parametric algorithms, times series techniques, and other statistical models, various model validation tests/methodologies, using SAS, R, Python, etc.
- Advanced data compilation, programming skills and qualitative analysis skills
- Experience in theory and practice with Machine Learning algorithms to design models related to classification, regression and clustering.
- Desired Experience in theory and practice of Deep Learning modeling, using software tools such as Tensorflow & Keras, Caffe/Caffe2, Pytorch, MXNet, Scikit-Learn and Pytorch.
- Experience in theory and practice with Natural Language Processing methods to analyze documents and other unstructured text data sources.
- Knowledge or experience of the quantitative and qualitative risk factors, industry risks, competition risks, and risk management approaches
- Demonstrated independence, teamwork and leadership skills
- Strong analytical, organizational, problem-solving, negotiation, and project management skills
- Excellent interpersonal, verbal and written communication skills, ability to work with multiple teams, and strong work ethic
- Work independently to drive results with excellent written and verbal 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 companys 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.