Quantitative Model Analyst 3

U.S. Bank • Charlotte, NC

16h • Hybrid

About The Position

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 Corporate Treasury is a division within the CFO group where part of their responsibility is to provide executive management with accurate, timely, and comprehensive forecasts of the balance sheet, net interest income (NII), and Non-Interest Income Revenue. Corporate Treasury’s Asset & Liability Management Quantitative Finance group supports these efforts by developing quantitative models and methods that link the Bank’s balance sheet and Income Statement to the broader macroeconomic environment. Our team is seeking a strong, decisive, results-oriented quantitative analyst who will be responsible for building complex statistical models for our income statement. The model-building process is holistic, and will include estimating, validating, testing, documenting, implementing, and maintaining macroeconomic forecasting model frameworks. These models may cover a variety of bank products and related functions. All models are used as part of Treasury’s financial decision-making process. 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. The role also involves communicating modeling approaches and results to stakeholders across the bank.

Requirements

• Bachelor’s degree in a quantitative field, and five or more years of relevant experience OR
• MA/MS in a quantitative field, and three or more years of related experience OR
• PhD in a quantitative field, and less than two years of related experience

Nice To Haves

• Thorough knowledge of various regression techniques, parametric and non-parametric algorithms, times series techniques, and other statistical models, various model validation tests/methodologies, using Python or similar statistical package
• Thorough data compilation, programming skills and qualitative analysis skills
• Thorough knowledge of the quantitative and qualitative risk factors, industry risks, competition risks, and risk management approaches
• Advanced understanding of applicable regulatory rules, guidance, or supervisory letters
• Ability to manage multiple tasks across various timelines
• Strong analytical, organizational, problem-solving, negotiation, and project management skills
• Demonstrated independence, teamwork and leadership skills
• Effective interpersonal, verbal and written communication skills

Benefits

• 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

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees