Financial Crimes Model Analytics Officer II

Truist Inc
Raleigh, NC, United States
21 days ago
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Role details

Contract type
Temporary contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Working hours
Regular working hours
Job source

Tech stack

Data Analysis Microsoft Office Performance Tuning SAS (Software) Data Strategy Performance Monitor Data Management

Job description

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., Following is a summary of the essential functions for this job. Other duties may be performed, both major and minor, which are not mentioned below. Specific activities may change from time to time.

  1. Serve as leader of a team responsible for financial crimes model analytics initiatives and 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 within assigned area of responsibility to meet division, department, and enterprise goals.
  2. Develop, maintain and supervise monitoring, performance reporting, and change-management processes. Work with stakeholders to ensure models fulfill the business objectives set for them.
  3. Identify and recommend model, process, and/or technology changes that will continually drive the program towards effective and efficient operations and strong control environments. Work with stakeholders to ensure models fulfill the business objectives set for them.
  4. Ensure delivery of accurate and actionable analytics, reporting, or data insights to aid key decision-making.
  5. Be a steward and champion of data quality and data management initiatives/best practices within Financial Crimes to help ensure complete, consistent, and accurate data for Financial Crimes program usage.
  6. Develop high functioning working relationships with internal and external partners to aid in achieving strategic objectives and a best in class Financial Crimes program.
  7. 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.
  8. Ensure proper procedures and documentation on team processes are developed, maintained, and followed in accordance with enterprise standards.

Requirements

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.

  1. Bachelor’s Degree or an equivalent combination of education and experience.
  2. Demonstrated analytical, project management, and organizational skills and experience working with metrics, reporting, data, modeling, and/or technology initiatives.
  3. Proven management ability. Experience managing projects as well as teams to successful outcomes.
  4. 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
  5. Strong communication skills, both written and verbal
  6. Excellent interpersonal skills demonstrating the ability to interact with all levels of management effectively.
  7. Strong leadership and decision-making skills
  8. Ability to work with cross-functional teams in a high-stress, fast-paced and rapidly changing environment with teammates in multiple geographic locations
  9. Strong work ethic and desire to enhance knowledge base and technical skills
  10. Ability to handle ambiguity and adapt to shifting objectives
  11. Strong problem solving skills
  12. Adept with Microsoft Office products, 1. Master’s degree in Statistics, Econometrics, Actuarial Science, Applied Mathematics, Operations Research, Business Administration or other applied quantitative science, or equivalent education and related training
  13. Five years of demonstrated experience with Anti-Money Laundering, OFAC, Fraud, and/or Compliance programs
  14. Knowledge of laws, rules, and regulations impacting financial crimes programs
  15. FRM designation, Certified Anti-Money Laundering Specialist (CAMS), Certified risk management specialist, or other qualified, related professional certifications

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