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Quantitative Model Analyst in Minneapolis, Minnesota

AnalystAnalystFull TimeRemoteMid LevelTeam 10,001+Since 1863H1B No SponsorCompany SiteLinkedIn

Location

United States

Posted

61 days ago

Salary

$136K - $155K / year

Seniority

Mid Level

No structured requirement data.

Job Description

Quantitative Model Analyst in Minneapolis, Minnesota

U.S. Bank

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 Job Description U.S. Bank is seeking the position of Quantitative Model Analyst in Minneapolis, Minnesota. Essential Responsibilities: The Quantitative Model Analyst will collaborate with model owners and external vendors to validate machine learning fraud models in compliance with OCC 2011-12 Regulatory Guidance and U.S. Bank’s Model Risk Management Policy and Standards. The position is responsible for performing comprehensive independent validations of both proprietary vendor and custom-built fraud models using statistical and machine learning techniques such as logistic regression and XGBoost. Duties include reviewing and validating model documentation related to development, implementation, and monitoring processes to ensure accuracy, completeness, and regulatory compliance. The role also involves developing independent statistical models to challenge conceptual frameworks, methodologies, data selection, model performance, and outcome analysis. The incumbent prepares detailed written validation reports and presents findings to model owners, key stakeholders, regulators, and senior management. They identify and recommend corrective actions to address model performance risks and documentation deficiencies, ensuring timely remediation. Additionally, the position coordinates quarterly monitoring reviews of fraud model monitoring reports, identifying emerging trends and potential deficiencies to proactively mitigate risks. The incumbent tracks monitoring outcomes across model ownership groups and communicates findings and clarifications to model owners as needed. The role also includes updating and maintaining the Fraud Model Training Guide to keep information current for new team members, as well as managing the internal fraud research library to improve validation efficiency and provide standardized statistical interpretations for commonly used methodologies. Position may allow working from home within a commuting distance of worksite location. Multiple Positions. Basic Qualifications: Requires a Master’s degree in Statistics or Mathematics plus 2 years of experience developing, validating, and implementing predictive models. Will accept a Bachelor’s degree in Statistics or Mathematics plus 5 years of experience developing, validating, and implementing predictive models in lieu of a Master’s degree plus 2 years of experience. Required Skills/Experience: Must possess 2 years of experience with Master’s or 5 years of experience with Bachelor’s with all of the following: developing predictive models using statistical and machine learning techniques, including logistic regression, decision trees, gradient boosting (XGBoost), and clustering, to generate actionable business insights; experience in target variable analysis, algorithm selection, hyperparameter tuning, reject inference, stress testing, and bootstrapping for predictive model development and optimization; applying risk modeling techniques to segment data; validating and implementing predictive models designed to assess the probability of default to ensure accuracy, reliability, and scalability; extracting historical data and performing data validation to ensure accuracy of information; utilizing programming languages and tools including R, Python, SAS, and SQL to extract, clean, transform, and perform quality assurance on large datasets; combining large-scale datasets for analysis; creating and maintaining automated modeling pipelines, dashboards, and reporting tools to support data-driven decision-making; collaborating with cross-functional teams to translate business requirements into quantitative solutions; and documenting methodologies and presenting findings clearly to both technical and non-technical stakeholders. Position may allow working from home within a commuting distance of worksite location. Base pay range may vary if an offer is made for work in a different location. Pay Range: $136,469.00 - $155,000.00 (#LI-NDI #LI-DNI #LI-DNP #DE-DNP #IND-DNP) 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. 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. In addition to salary, U.S. Bank offers a comprehensive benefits package, including incentive and recognition programs, equity stock purchase 401(k) contribution and pension (all benefits are subject to eligibility requirements). 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.

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