Quality Assurance Quantitative Model Developer
Chicago, IL

Job Description

At U.S. Bank, we're passionate about helping customers and the communities where we live and work. The fifth-largest bank in the United States, we're one of the country's most respected, innovative and successful financial institutions. U.S. Bank is an equal opportunity employer committed to creating a diverse workforce. We consider all qualified applicants without regard to race, religion, color, sex, national origin, age, sexual orientation, disability or veteran status, among other factors.

The Quality Assurance Model Developer role will be part of the Quality Assurance ("QA") team that supports and reviews bank-wide models to forecast pre-provision net revenue ("PPNR"), liquidity risk, or interest rates risk, primarily for the Comprehensive Capital Analysis and Review ("CCAR") stress tests. This role will work closely with Model Developers and senior management to ensure that modeling approaches are appropriate, and that model documentation is adequate and accurate.

Responsibilities

* Provide holistic review of model technical documentation for a variety of PPNR and treasury models by assessing the adequacy and thoroughness of the model documentation


* Perform editorial and grammatical review of the model documentation


* Offer guidance to model developers on modeling and data approaches in the context of internal model development standards and policies, industry best practices, and regulatory guidance


* Conduct ad-hoc checks of model developers' work concurrent with model development


* Ensure that models comply with model development standards, policies, and procedures


* Perform benchmarking for model forecasts, where applicable


* Propose improvements to internal model development standards, policies, and procedures


* Track and report progress of model development and QA milestones to senior management


* Assist with regulatory reviews and communication with bank supervisors



Basic Qualifications

* Bachelor's degree in a quantitative field, and four to six years of experience in statistical modeling OR
* Master's degree in a quantitative field, and less than four years of experience in statistical modeling

Preferred Skills/Experience

* Master's degree in a quantitative field (Econometrics, Statistics, Mathematics, or a similar field)


* Proficiency with R and other statistical modeling software (SAS, Matlab, Python, etc.)


* Experience with time series forecasting models


* Excellent verbal and written communication skills (both the ability to communicate at the level of an academic journal and the ability to explain complex ideas in non-technical language)


* Strong knowledge of financial and economic concepts


* Strong mathematical, analytical, and problem-solving skills


* Considerable knowledge of financial analysis techniques and general accounting procedures


* Experience with and knowledge of best practices and stress testing requirements for CCAR


* Experience both in model development and model validation


* Experience with project management