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Financial Crimes Model Analytics ManagerTruist • Charlotte, North Carolina, United States
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Financial Crimes Model Analytics Manager

Truist
  • US
    Charlotte, North Carolina, United States
  • US
    Charlotte, North Carolina, United States
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Über

Exploratory Monitoring Leader Responsible for leading and administering the Exploratory Monitoring function within the Financial Intelligence Unit (FIU), including direct oversight, coaching, and development of a team of analysts responsible for identifying and assessing emerging and evolving financial crime risks, typologies, and behavioral patterns. This role applies a risk-based, intelligence-led approach by leveraging data and advanced analytics to test hypotheses, evaluate detection indicators, and inform priorities for new/enhanced Anti-Money Laundering (AML)/Counter-Terrorism Financing (CFT) monitoring strategies. This leader is accountable for delivering high-quality analytical outputs and actionable recommendations that support effective risk identification and Financial Crimes program outcomes, including supporting audit and regulatory exam activities through data analysis and reporting. The role partners closely with investigations, model development, and governance teams to strengthen detection coverage and program effectiveness, ensuring all work is well-documented, governed, and defensible in accordance with enterprise standards. This position will also support additional strategic initiatives, ad hoc analyses, and evolving program priorities as needed.
Essential Duties And Responsibilities
Serve as a manager responsible to provide financial crimes analytics, metrics and reporting, data insights, innovation initiatives, data strategy and/or data quality for the Financial Crimes program.
Responsible for salary administration, performance assessment, coaching, team member selection, training, subject matter expertise and career development of staff. This leader will plan, organize, coordinate, and manage work of resources within assigned area of responsibility to meet division, department, and enterprise goals.
Ensure delivery of accurate and actionable analytics, reporting, or data insights to aid key decision-making and support effective operations within the Financial Crimes Program.
Be a steward and champion of data quality and data management initiatives/best practices within Financial Crimes to help ensure viable, accurate, and effective data for Financial Crimes program usage.
Develop high functioning working relationships with internal and external partners to aid in achieving strategic objectives and a best in class Financial Crimes monitoring program.
Develop and maintain financial crimes subject matter expertise for self and teammates.
Whenever required, provide support and materials for responding to internal and external reviewers of the Financial Crimes program, as well as assist in managing and resolving issues that arise from these reviews as required.
Ensure proper procedures and documentation on team processes are developed, maintained, and followed in accordance with enterprise standards.
Lead exploratory analyses to identify financial crime risks, typologies, and behavioral patterns.
Lead design, test, and refine detection hypotheses using data-driven analysis and sophisticated analytics (statistical/predictive analytics, machine learning modeling, etc.).
Translate exploratory findings into actionable recommendations, including new scenario development or enhancements to existing monitoring.
Qualifications The requirements listed below are representative of the knowledge, skill and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
Required Qualifications
Bachelor's Degree or an equivalent combination of education and experience.
Demonstrated analytical, project management, and organizational skills and experience working with metrics, reporting, data, modeling, and/or technology initiatives.
Seven years of SAS experience (or other applicable model development software) with application to large data problems and relevant statistical procedures. Ability to test, maintain, and monitor models, including threshold tuning, sensitivity analyses, and scenario testing.
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 and rapidly changing environment with teammates in multiple geographic locations.
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.
Preferred Qualifications
Bachelor's degree in Statistics, Econometrics, Actuarial Science, Applied Mathematics, Operations Research, Business Administration or other applied quantitative science, or equivalent education and related training.
Five years of demonstrated experience with Anti-Money Laundering, OFAC, Fraud, and/or Compliance programs.
Knowledge of laws, rules, and regulations impacting financial crimes programs.
Certified Anti-Money Laundering Specialist (CAMS), Certified risk management specialist, or other qualified, related professional certifications.
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  • Charlotte, North Carolina, United States

Sprachkenntnisse

  • English
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