Financial Crimes Model Analytics Officer I

Truist Financial - Atlanta, GA

Full-time

Atlanta, GA

Credit Intermediation and Related Activities

About the position

Responsible for leading and administering the model analytics function of the Financial Crimes Program for Truist. Focused on designing and driving initiatives within the program to ensure accurate, effective, and efficient tools and insights are available to identify and report potential financial crimes.

Responsibilities

• Lead financial crimes model analytics initiatives and data strategy and/or data quality for the Financial Crimes program.
• Develop, maintain and supervise monitoring, performance reporting, and change-management processes.
• Identify and recommend model, process, and/or technology changes that will continually drive the program towards effective and efficient operations.
• Ensure delivery of accurate and actionable analytics, reporting, or data insights to aid key decision-making.
• Be a steward and champion of data quality and data management initiatives/best practices within Financial Crimes.
• Develop high functioning working relationships with internal and external partners.
• Provide support and materials for responding to internal and external reviewers of the Financial Crimes program.
• Ensure proper procedures and documentation on team processes are developed, maintained, and followed.

Requirements

• Bachelor's Degree or an equivalent combination of education and experience.
• Demonstrated analytical, project management, and organizational skills.
• Five years of SAS experience (or other applicable model development software) with application to large data problems.
• Strong communication skills, both written and verbal.
• Excellent interpersonal skills demonstrating the ability to interact with all levels of management effectively.
• Strong leadership and decision-making skills.
• Ability to work with cross-functional teams in a high-stress, fast-paced environment.
• Strong work ethic and desire to enhance knowledge base and technical skills.
• Ability to handle ambiguity and adapt to shifting objectives.
• Strong problem solving skills.
• Adept with Microsoft Office products.

Nice-to-haves

• Master's degree in Statistics, Econometrics, Actuarial Science, Applied Mathematics, Operations Research, Business Administration or other applied quantitative science.
• Three years of demonstrated experience with Anti-Money Laundering, OFAC, Fraud, and/or Compliance programs.
• Knowledge of laws, rules, and regulations impacting financial crimes programs.
• FRM designation, Certified Anti-Money Laundering Specialist (CAMS), Certified risk management specialist, or other qualified, related professional certifications.

Benefits

• Medical, dental, vision, life insurance, disability, accidental death and dismemberment.
• Tax-preferred savings accounts.
• 401k plan.
• No less than 10 days of vacation during the first year of employment.
• 10 sick days.
• Paid holidays.
• Defined benefit pension plan, restricted stock units, and/or a deferred compensation plan may be available.