Our Ability Jobs

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

This role is an individual contributor position within the Bank’s Enterprise Financial Crime Compliance (EFCC) organization. The person in this role will join the Advanced Analytics Development team, which supports the Bank’s Anti-Money Laundering and Financial Crimes compliance program through modeling and data analytics. The focus of this role is on developing and implementing machine learning models to enhance the Bank’s AML/BSA compliance systems. The individual will need strong skills in model documentation, testing and validation, risk identification, and ongoing model monitoring to ensure robustness and compliance. The candidate should also demonstrate strong skills in data acquisition and preparation. Additionally, this person may provide support for non-ML technical development, such as complex data analytics, technology validation, or process automation.

Responsibilities

• Develop and implement machine learning models for AML/BSA transaction monitoring.

• Collaborate with technology developers to ensure models are effectively integrated into the Bank’s AML systems.

• Stay updated with the latest trends and developments in machine learning and AML compliance to ensure models are effective.

• Analyze large datasets to identify suspicious activity patterns and enhance model accuracy.

• Document model development processes and methodologies in accordance with regulatory and internal standards.

• Participate in the design and testing of new features for AML transaction monitoring systems.

• Assist in non-ML process development including complex data analytics, technology implementation validation, and code automation.

• Work closely with stakeholders to understand business needs and translate them into technical solutions.

• Provide thought leadership and share best practices within the team and broader organization.

Essential Skills/Experience

• Proficiency in Python for model development and implementation.

• Strong background in machine learning, including techniques such as supervised and unsupervised learning, neural networks, and natural language processing.

• Experience with AML/BSA tools and familiarity with financial crimes modeling.

• Ability to work with on-prem or cloud analytics platforms.

• Excellent problem-solving skills and the ability to work independently and as part of a team.

• Strong communication skills to effectively collaborate with technical and non-technical stakeholders.

• Understanding of regulatory expectations and best practices related to AML systems.

Basic Qualifications

• Bachelor’s degree in a quantitative field, and eight or more years of relevant experience

OR

• MA/MS in a quantitative field, and five or more years of related experience

OR

• PhD in a quantitative field, and four or more years of related experience

Preferred Skills/Experience

• Experience with Generative AI and advanced machine learning techniques.

• Exposure to AML/BSA compliance environments and a strong interest in financial crime prevention.

• Experience in a financial institution or a related industry.

• Familiarity with SAS, SQL, or other data analysis tools.

The ideal candidate for this role is highly self-driven, organized, and efficient in managing multiple tasks. They should possess a keen eye for innovative solutions and demonstrate a robust understanding of machine learning applications in financial crime compliance. This is an exciting opportunity to contribute to the modernization and enhancement of the Bank's AML systems through advanced analytics and machine learning.

NOTE: This role offers a hybrid/flexible schedule, which means there's an in-office expectation of 3 or more days per week and the flexibility to work outside the office location for the other days.

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 (https://careers.usbank.com/global/en/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 (https://eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf) 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 (https://careers.usbank.com/verification-of-eligibility-for-employment) .

The salary range reflects figures based on the primary location, which is listed first. The actual range for the role may differ based on the location of the role. 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). Pay Range: $108,375.00 - $127,500.00 - $140,250.00

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.

Job postings typically remain open for approximately 20 days of the posting date listed above, however the job posting may be closed earlier should it be determined the position is no longer required due to business need. Job postings in areas with a high volume of applicants, such as customer service, contact center, and Financial Crimes investigations, remain open for approximately 5 days of the posting listed date.