Quantitative Model Analyst - Treasury

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Job Description

Corporate Treasury is a division within the CFO group responsible for providing executive management with accurate, timely, and comprehensive forecasts of the balance sheet and net interest income (NII).

Another critical Treasury function is the measurement and analysis of Interest Rate Risk (IRR). This information provides the framework for the company to position its balance sheet in line with its risk appetite and expectations for changes in interest rates.

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 to the broader macroeconomic environment.

Our team is seeking a strong, decisive, and results-oriented quantitative analyst who will be responsible for building complex statistical models. These models may cover a variety of bank products and related functions and are used as part of Treasury's financial decision-making process.

Key responsibilities include developing and maintaining advanced statistical models used for balance sheet forecasting and interest rate risk analysis. This model development process is holistic and includes estimating, testing, documenting, implementing, and maintaining macroeconomic forecasting model frameworks.

The role also involves communicating modeling approaches and results to stakeholders across the bank. Deliverables include model development 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 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

Preferred Skills/Experience

* 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

LOCATION EXPECTATIONS:
This role requires working from a U.S. Bank Location three (3) or more days per week.

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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