Quantitative Model Analyst 2
About the position Corporate Treasury is a division within the CFO group responsible for providing accurate, timely, and comprehensive forecasts of the balance sheet, net interest income (NII), and Non-Interest Income Revenue to executive management. The Asset & Liability Management Quantitative Finance group within Corporate Treasury develops quantitative models and methods that link the Bank’s balance sheet and Income Statement to the broader macroeconomic environment. This role involves building complex statistical models for the income statement, encompassing the entire model-building process: estimating, validating, testing, documenting, implementing, and maintaining macroeconomic forecasting model frameworks. These models may cover various bank products and related functions and are integral to Treasury’s financial decision-making. Deliverables include model development and/or validation documentation (presentations, written reports, code documentation, business requirements, monitoring reports, procedures) and communicating modeling approaches and results to stakeholders across the bank.
Responsibilities
- Estimating, validating, testing, documenting, implementing, and maintaining macroeconomic forecasting model frameworks.
- Developing quantitative models and methods that link the Bank’s balance sheet and Income Statement to the broader macroeconomic environment.
- Creating 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.
- Communicating modeling approaches and results to stakeholders across the bank.
Requirements
- Bachelor’s degree in a quantitative field, and three or more years of relevant experience OR MA/MS in a quantitative field, and less than three years of related experience.
- Working from a U.S. Bank Location three (3) or more days per week.
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
- Incentive and recognition programs
- Equity stock purchase
- 401(k) contribution and pension