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

U.S. Bank is seeking a full-time Senior Quantitative Financial Analyst (Multiple openings) in Charlotte, NC.

Essential Responsibilities:

Oversees creation and usage of complex models, analysis and forecasts involving application of financial, econometric and statistical methods. The business area assigned can concern a variety of products or services and require analysis of one or more of credit, pricing, market, and liquidity risks. Works independently and provides guidance to more junior team members on projects. Works with multiple business lines, performing data analysis, testing, documentation, benchmarking, creation and coding of models, implementation testing verification and monitoring. Deliverables include written reports and analysis, identification of risk and quantitative forecasting, and presentations/communication of the outcomes to the stakeholders.

Specific duties include:

Perform exploratory data analysis, using SAS, R and Python programs, to carry out data inspections, data cleaning, data transformations, multivariate analysis and descriptive analysis on the data used by the models being created, tested or reviewed.Perform independent testing of models and tools (programs) being reviewed (benchmark, outcome analysis, sensitivity analysis), using SAS, R and Python programming codes to replicate the programs’ logic, analyze programs’ output and assess the effectiveness of the programs to their respective objectives.Communicate and present the model framework, business usage, performance, testing of advanced statistical models and potential findings & issues to stakeholders. Create model development or validate documentation including presentations, written reports, model or reporting code documentation, business requirements, monitoring reports and related code, and procedures.Perform review of documents, which include development documentation, monitoring plan and reports, implementation plan and testing framework to ensure that the documents are comprehensive, accurate and follow regulatory guidelines.Analyze the model methodology framework and business usageCreate, implement, test models for the financial industry using programming skills such as Python, R, SAS etc.Work with predictive Modeling (regression analysis, time series forecasting), Machine Learning (SVM, Random Forest), Exploratory Analysis, Multivariate Testing, Proficient in statistics concepts (Hypothesis Testing, probability theories) to create the forecasting model using knowledge in Finance, statistics and Mathematics.Guide junior quantitative model analysts on model development, testing, documentation and codes.Address the findings or issues of the model raised by Validation group or regulatory requirements.

Basic Qualifications:

This position requires a Master’s degree or equivalent in Statistics, Mathematics, or Applied Mathematics & Statistics and 2 years of experience performing quantitative model research, development, and validation.

Required Skills/Experience:
 

Must also have 24 months of experience with each of the following: 1) Creating, implementing, testing, and documenting models for the financial industry using programming skills including Python and R, and advanced statistical/ mathematical modeling knowledge. 2) Undertaking model validation tests/methodologies through data compilation, qualitative analysis and knowledge of Probability, Stochastic Calculus, Regressions, and Machine learning. 3) Working with predictive Modeling (regression analysis, time series forecasting), A/B Testing, Machine Learning (SVM, Random Forest), Exploratory Analysis, and Multivariate Testing. 4) Working with the following analytical tools: Python (NumPy, Pandas, Seaborn, Scikit-learn, Matplotlib), SQL, R, SAS, Excel, LaTex. 5) Independent testing of model including benchmarking, outcome analysis, and sensitivity check under comprehensive Capital Analysis Review (CCAR). Will accept experience gained before, during or after Master’s program. Employer will accept experience gained concurrently.

Base pay range may vary if an offer is made for work in a different location. Pay Range: $78,270 - $110,600. (#LI-NDI #LI-DNI #LI-DNP #DE-DNP).

The examination for this position may include a supplemental questionnaire. Improper or missing responses could affect your application.This position is not eligible for visa sponsorship.

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 (some may vary based on role, location or hours):

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

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.

E-Verify

U.S. Bank participates in the U.S. Department of Homeland Security E-Verify program in all facilities located in the United States and certain U.S. territories. The E-Verify program is an Internet-based employment eligibility verification system operated by the U.S. Citizenship and Immigration Services. Learn more about the E-Verify program.

In addition to salary, U.S. Bank offers a comprehensive benefits package, including incentive and recognition programs, equity stock purchase 401(k) contribution and pension (all benefits are subject to eligibility requirements).

U.S. Bank will consider qualified applicants with arrest or conviction records for employment. U.S. Bank conducts background checks consistent with applicable local laws, including the Los Angeles County Fair Chance Ordinance and the California Fair Chance Act as well as the San Francisco Fair Chance Ordinance. U.S. Bank is subject to, and conducts background checks consistent with the requirements of Section 19 of the Federal Deposit Insurance Act (FDIA). In addition, certain positions may also be subject to the requirements of FINRA, NMLS registration, Reg Z, Reg G, OFAC, the NFA, the FCPA, the Bank Secrecy Act, the SAFE Act, and/or federal guidelines applicable to an agreement, such as those related to ethics, safety, or operational procedures.

Applicants must be able to comply with U.S. Bank policies and procedures including the Code of Ethics and Business Conduct and related workplace conduct and safety policies.

Posting may be closed earlier due to high volume of applicants.