Director of Strategic Analytics

U.S. Bank • St. Louis, MO

10d • Onsite

About The Position

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 The Strategic Analytics Director partners with senior and executive leaders to define and execute the advanced analytics strategy for Enterprise Financial Crimes Compliance. This role leads a multidisciplinary team responsible for developing analytically sound, operationally practical, and regulator‑ready solutions that enhance risk identification, regulatory coverage, and operational decision‑making across AML, sanctions, fraud, and emerging risk domains. The Director serves as a strategic translator – connecting regulatory expectations, investigative insight, and advanced analytics to drive defensible, real‑world outcomes. This role balances technical depth with strategic leadership, remaining hands‑on to provide analytical direction while shaping an ambitious, executable multi-year vision. This vision will include the design, testing, documentation, deployment, and ongoing governance of advanced analytics, machine‑learning models, and risk intelligence solutions. The role also serves as a central connector across FIU, Risk Management, Technology, and Investigations, ensuring analytics are actionable, defensible, and scalable.

Requirements

• Bachelor’s degree required; advanced degree (MS/PhD) strongly preferred.
• 9+ years of experience in advanced analytics, quantitative modeling, or data science within financial services or regulated environments.
• 5+ years of experience leading analytics or quantitative teams.

Nice To Haves

• Analytics & Technology Strong grounding in statistical modeling, machine learning, and model performance evaluation.
• Experience working with open‑source analytics stacks (e.g., Python‑based ecosystems) and designing analytics for cloud or cloud‑adjacent environments.
• Ability to integrate structured and unstructured data, including transaction data and narrative‑based intelligence.
• Risk & Regulatory Expertise Deep understanding of financial crime risk, emerging typologies, and risk‑based monitoring approaches.
• Strong familiarity with regulatory expectations, supervisory guidance, and model governance standards.
• Experience supporting regulatory exams and translating analytics into examiner‑ready narratives.
• Leadership & Influence Demonstrated ability to operate at both strategic and execution levels.
• Proven success influencing across teams without direct authority.
• Clear, confident communicator with executive presence and strong written skills.

Responsibilities

• Strategy & Leadership Set the strategic direction for advanced analytics within EFCC, with an emphasis on AI, machine learning, and scalable cloud architectures.
• Lead and develop a high‑performing analytics team spanning emerging risk analytics, quantitative modeling, and data intelligence.
• Translate regulatory expectations, emerging typologies, and business needs into analytically sound, defensible solutions.
• Advanced Analytics & AI Oversee development and enhancement of customer‑ and account‑level risk models, anomaly detection, and typology‑driven analytics.
• Expand use of machine‑learning frameworks and AI‑enabled tooling (e.g., clustering, relationship intelligence, natural‑language analysis) to surface risk not fully covered by traditional monitoring.
• Guide iterative model improvement using new data sources, feedback loops from investigations, and performance metrics.
• Remain hands‑on as needed to unblock team members, prototype solutions, and credibly challenge analytical assumptions.
• Cloud & Open‑Source Enablement Assist in driving the transition from legacy statistical tooling toward open‑source and cloud‑ready solutions, improving flexibility and speed to insight.
• Support development of open‑source equivalents for existing analytics and reporting capabilities to enable future cloud adoption.
• Partner with Technology and Model Risk teams to ensure solutions meet security, governance, and validation standards.
• Emerging Risk & Rapid Response Coordinate rapid‑response analytics for emerging financial crime risks, integrating subpoena data, human intelligence, transaction data, and external insights.
• Lead analytics supporting new and evolving typologies (e.g., novel fraud schemes, sanctions evasion, trafficking‑related activity).
• Maintain strong feedback cycles with investigators and risk partners to refine coverage and prioritize effort.
• Governance, Documentation & Communication Ensure clear, consistent documentation across analytics lifecycles, including model design, assumptions, validation artifacts, monitoring reports, and procedures.
• Communicate complex analytical concepts clearly to executive leadership, regulators, auditors, and cross‑functional partners.
• Represent Strategic Analytics in regulatory exams, internal reviews, and enterprise‑level discussions.

Benefits

• 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

What This Job Offers

• Job Type: Full-time
• Career Level: Director
• Number of Employees: 5,001-10,000 employees