Quantitative Modeler Manager

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 the position of Quantitative Modeler Manager in Charlotte, NC.

Essential Responsibilities:

This role will lead and work with team members in the Financial Intelligence Unit to create, test, document, implement, and oversee the usage of complex statistical and Machine Learning models covering a variety of products or services used as part of the financial decision-making process. This role will focus on documenting the creation and testing of advanced statistical and Machine Learning models and communicating such models to stakeholders within the Bank and will be responsible for overseeing a team to deliver creating model development and validation.

Specific duties include the following:

• Partner with Enterprise Financial Crimes Compliance group and the Financial Intelligence Unit team to become familiar with various transaction monitoring applications, approaches, and processes.
• Possess an awareness of financial services-related regulatory compliance environments as well as an interest to self-educate on new topics and changing requirements.
• Leverage experience to achieve advanced level knowledge of transaction monitoring related data environments and resources in order to support and develop an analysis of transaction monitoring programs.
• Create professional program/reporting documentation in support of AML Transaction Monitoring and related reporting aligning to established standards.
• Construct and present materials for audiences including but not limited to senior leadership, CAS, regulatory and business partners.
• Practice timely responses to ad hoc data and on-demand requests.
• Research and evaluate data quality on big datasets and determine suitability for model building.
• Develop/maintain internal models and test/configure vendor solutions to ensure conceptually sound design, proper implementation, and acceptable model performance.
• Apply innovative techniques to drive continuous improvements in model effectiveness and efficiency, such as reducing false positives.
• Provide strategic consultation and thought leadership to senior/executive level business partners.
• Utilize advanced computer skills, including Microsoft Office suite (Excel, Word, and PowerPoint).
• Perform work using the following tools and technologies: Python (Pandas, NumPy, Scikit Learn), SQL SAS, Spark, Hadoop, AWS, Distributed Computation and Unix Shell.

Basic Qualifications

This position requires a PhD degree or equivalent in statistics, mathematics, computer science, data science, or engineering and 3 years of quantitative modeling experience in the financial industry. Will accept a Master's degree in the same fields and 5 years of quantitative modeling experience in the financial industry.

Required Skills/Experience:
Must also have 36 months of experience with each of the following: 1) Applying statistical principles and machine learning algorithms to develop and optimize models for acquisition and transaction for defensing financial crimes. 2) Working in transaction monitoring related data environments and with related resources in order to support and develop an analysis of transaction monitoring programs. 3) Technical implementations, including collection and refinement of user requirements, data ETL design, and development of control processes. 4) Applying knowledge of common Financial Crime Investigations workflows and procedures and of financial crime regulatory requirements, technology, and data analysis. 5) Performing work using the following tools and technologies: Python (Pandas, NumPy, Scikit Learn), SQL, SAS, Spark, Hadoop, AWS, Distributed Computation and Unix Shell. Will accept experience gained before, during or after PhD / Master's program, as applicable. Employer will accept experience gained concurrently.

This position is with U.S. Bank National Association, a U.S. Bank company.

Pay Range: $90,043 - $155,000.

(#LI-NDI #LI-DNI #LI-DNP #DE-DNP).

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

EEO is the Law

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, gender identity, disability or veteran status, among other factors. Applicants can learn more about the company's status as an equal opportunity employer by viewing the federal KNOW YOUR RIGHTS EEO poster.

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 accepts applications for this position on an ongoing basis.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.