Senior Model Validator (multiple positions) in Minneapolis, MN

 

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

U.S. Bank is seeking the position of Senior Model Validator (multiple positions)  in Minneapolis, MN.

Essential Responsibilities:

• Assess externally developed vendor models evaluating data science documentation.
• Determine compliance with internal and regulatory standards.
• Validate complex machine learning, statistical, and Natural Language Process (NLP) based data models used in high-risk areas such as financial crime and cybersecurity.
• Deep understanding of AI/ML algorithms and feature data engineering.
• Apply advanced programming and statistical techniques using Python, SQL, and SAS to independently replicate and stress-test model performance and outcomes.
• Interpret results from data and economic analyses.
• Communicate outcomes to diverse stakeholders including developers, business leads, and risk committees.
• Perform comprehensive model validation.
• Improve data model performance monitoring and governance practices to strengthen the bank’s Model Risk Management framework.

Basic Qualifications:

Position requires a Master's degree in Statistics or Applied Economics and 3 years in a Data Scientist, or a related, occupation.

Required Skills/Experience:
Must include 3 years of experience with each of the following:

Manage large datasets, providing information-based decision logic and predictive modeling solutions; Conduct analytics projects using advanced statistical methods including generalized regression models, Bayesian methods, random forest, gradient boosting, neural networks, machine learning, and clustering; Manage data set creations, including data extraction, derived and dependent variable creation, and data quality control processes for analytics and model development; Validation of NLP models; AI and ML algorithms; Feature data engineering; SageMaker and Dataiku; AWS Data Lake and Power BI; and, Python, SAS, R, and SQL.

Teams may work from home and the office. Base pay range may vary if an offer is made for work in a different location. Pay Range: $119,642 - $131,606. (#LI-NDI #LI-DNI #LI-DNP #DE-DNP #INDdni #IND-DNP).

• The examination for this position may include additional supplemental questionnaires. Improper or missing responses could affect your application.
• This position is not eligible for visa sponsorship.

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 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.

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