Quantitative Model Analyst - AML

$92,820 - $109,200/Yr

US Bank - Minneapolis, MN

Full-time - Mid Level

Minneapolis, MN

Credit Intermediation and Related Activities

About the position

The Quantitative Model Analyst position at U.S. Bank is an individual contributor role within the Enterprise Financial Crime Compliance (EFCC) organization. This role focuses on supporting the Bank's Anti-Money Laundering (AML) and Financial Crimes compliance program through data analytics and tool development. The analyst will collaborate with various internal teams to enhance the Bank's AML/BSA Transaction Monitoring program, ensuring effective risk-based resource application and model performance management.

Responsibilities

• Develop and maintain the product backlog.
• Create detailed user stories and acceptance criteria.
• Prioritize product backlog items based on business value and strategic alignment.
• Act as the primary liaison between business stakeholders and Technology teams, facilitating clear communication and understanding.
• Work closely with development teams to provide real-time feedback, address prioritization needs, and answer questions.
• Collaborate with Product Management to set release dates and make informed decisions about schedule, scope, and budget trade-offs.
• Perform data analytics and user research to inform product development and testing.
• Complete testing of product implementation to ensure alignment with business requirements.
• Monitor and manage the ongoing performance of the model and develop data-driven strategies to improve effectiveness.

Requirements

• Bachelor's degree in a quantitative field, and three or more years of relevant experience OR MA/MS in a quantitative field, and less than three years of related experience.
• Proficiency in SQL and Python for data analytics and testing.
• Experience with AML/BSA tools and familiarity with financial crimes modeling.
• Excellent problem-solving skills and the ability to work independently and as part of a team.
• Strong verbal and written communication skills to effectively collaborate with technical and non-technical stakeholders.
• Proficient computer navigation skills.
• Experience in data analytics and testing skills to support a quantitative model.

Nice-to-haves

• Familiarity with Agile tools and practices.
• Familiarity with Machine Learning, as the model contains a significant upstream ML component.
• Understanding of AML risk and ability to identify potential interactions in a complex AML Transaction Monitoring system.

Benefits

• Paid holidays
• Disability insurance
• Health insurance
• Dental insurance
• 401(k)
• Adoption assistance
• Parental leave
• Vision insurance
• 401(k) matching
• Flexible schedule
• Life insurance