U. S. Bank

Financial Services

QuantitativeModelAnalyst

$127–149k Cincinnati, Ohio, United States FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Senior candidates.

The Brief

“Quantitative Model Analyst at U. S. Bank. Skills: statistical models, model validation, SAS, SQL. Creates statistical models. validates statistical models”

What You'll Achieve.

focus on documenting model creation; focus on documenting model testing; translate business challenges into quantitative solutions

Industry & Context.

Financial Services
Problems you'll solve

problem-solving; objective problem solving; analytical validation

Eligibility Requirements

working from a U. S. Bank location three (3) or more days per week

What They're Looking For.

Must Have

Bachelor’s degree in a quantitative field, 10 or more years of relevant experience, MA/MS in a quantitative field, six or more years of related experience, PhD in a quantitative field, five or more years of related experience, SAS, SQL, Python, Excel

Nice to Have

Advanced knowledge of various regression techniques, parametric and non-parametric algorithms, times series techniques, other statistical models, model validation tests/methodologies, SAS or similar statistical package, Thorough data compilation, programming skills, qualitative analysis skills, quantitative and qualitative risk factors, industry risks, competition risks, risk management approaches, applicable regulatory rules, guidance, supervisory letters, objective problem solving, accept/reject modeling, rigorous analytical validation

What You'll Do.

Creates statistical models

validates statistical models

tests statistical models

documents statistical models

implements statistical models

Develop model documentation

Develop model validation documentation

Create written reports

Document reporting code

Create business requirements

Create monitoring reports

Translate business challenges into quantitative solutions

How You'll Work.

Team & Collaboration

communicate models to stakeholders; partner cross-functionally; communicate analytical insights; teamwork

Communication Scope

communicating models; communicate analytical insights; verbal communication; written communication

Process & Methodology

project management

Full Job Description

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_** **Location expectations** This role requires working from a U.S. Bank location three (3) or more days per week. The department supports consumer finance products such as vehicle loans and leases. Creates, validates, tests, documents, implements, and/or oversees usage of complex statistical models. The models may cover a variety of products or services, however, all models are used as part of the financial decision making process. Specific results focus on documenting the creation and/or testing of advanced statistical models and communicating such models to stakeholders within the Bank. 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. _**Basic Qualifications**_ \- Bachelor’s degree in a quantitative field, and 10 or more years of relevant experience OR \- MA/MS in a quantitative field, and six or more years of related experience OR \- PhD in a quantitative field, and five or more years of related experience _**Preferred Skills/Experience**_ \- Advanced knowledge of various regression techniques, parametric and non-parametric algorithms, times series techniques, and other statistical models, various model validation tests/methodologies, using SAS or similar statistical package \- Thorough data compilation, programming sk

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