Financial Crimes Model Analytics Officer II

Fayette Chamber of Commerce; Atlanta (GA); On-site; USD 130,000 - 190,000; Full time

Benefits offered by this job

Medical, dental, vision

Life insurance

Disability

401k plan

Paid vacation

Paid sick days

Paid holidays

Job summary

Truist Financial Corporation is seeking a senior leader to head the model analytics function of its Financial Crimes Program. You will guide data strategy, ensure model quality, and drive efficiency across multiple sites while collaborating with stakeholders and reviewers.

The role requires seven years of SAS experience, strong leadership, and ability to work under pressure in a fast-paced environment. Excellent communication and relationship-building are essential.

Qualifications

• Bachelor's degree or equivalent experience required.
• Analytical, project management and organizational skills with metrics and data focus.
• Proven management ability and experience leading teams to outcomes.
• Seven years of SAS experience with large data problems and model testing.
• Strong written and verbal communication and interpersonal skills.
• Ability to work with cross-functional teams in a fast-paced, multi-location environment.
• Leadership, decision-making, and problem solving ability.
• Proficiency with Microsoft Office products.

Responsibilities

• Lead a team for financial crimes model analytics initiatives and data strategy.
• Develop and supervise monitoring, reporting, and change-management processes.
• Identify model, process, and technology changes to drive efficiency and control.
• Deliver accurate analytics, reporting, and data insights for decision-making.
• Champion data quality and data management within Financial Crimes.
• Build relationships with internal and external partners to meet strategic objectives.
• Provide materials for reviewers and resolve issues from reviews as needed.
• Ensure procedures and documentation align with enterprise standards.

Skills

Analytical skills

Project management

Organizational skills

Leadership

Communication skills

Cross-functional collaboration

Data modeling

Problem solving

Microsoft Office

Education

Bachelor's Degree

Master's degree in Statistics, Econometrics, Actuarial Science, Applied Mathematics, Operations Research, Business Administration or related field

Tools

SAS

Microsoft Excel

Job description

Language Fluency

English (Required)

Work Shift

1st shift (United States of America)

Job Grade

111

Please review the following 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.

ESSENTIAL DUTIES AND RESPONSIBILITIES

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.

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

• 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

Preferred Qualifications

• 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
• 2. Five years of demonstrated experience with Anti-Money Laundering, OFAC, Fraud, and/or Compliance programs
• 3. Knowledge of laws, rules, and regulations impacting financial crimes programs
• 4. FRM designation, Certified Anti-Money Laundering Specialist (CAMS), Certified risk management specialist, or other qualified, related professional certifications

General Description of Available Benefits for Eligible Employees of Truist Financial Corporation

All regular teammates (not temporary or contingent workers) working 20 hours or more per week are eligible for benefits, though eligibility for specific benefits may be determined by the division of Truist offering the position. Truist offers medical, dental, vision, life insurance, disability, accidental death and dismemberment, tax-preferred savings accounts, and a 401k plan to teammates. Teammates also receive no less than 10 days of vacation (prorated based on date of hire and by full-time or part-time status) during their first year of employment, along with 10 sick days (also prorated), and paid holidays. For more details on Truist's generous benefit plans, please visit our Benefits site. Depending on the position and division, this job may also be eligible for Truist's defined benefit pension plan, restricted stock units, and/or a deferred compensation plan. As you advance through the hiring process, you will also learn more about the specific benefits available for any non-temporary position for which you apply, based on full-time or part-time status, position, and division of work.