Quantitative Model Development Officer II- Anti-Money Laundering

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Regular or Temporary: Regular

Language Fluency: English (Required)

Work Shift: 1st shift (United States of America)

Please review the following job description:

Lead model development efforts to build, assess, continually improve, and document Financial Crimes risk models, thereby enhancing the organization’s ability to detect and mitigate risks with primary focus on Anti-Money Laundering (AML) models. Leverages best practices, modeling experience, and input from model stakeholders to design and develop models incorporating rules-based logic, quantitative analysis, machine learning techniques, and hybrid approaches. Provides quantitative expertise by analyzing large datasets, identifying patterns, and building anomaly detection frameworks to improve monitoring precision. Partners with cross-functional teammates engaged in model tuning to minimize false positives while maintaining prudent risk coverage and ensuring regulatory compliance. Leads periodic model review and validation support efforts and subsequent issue remediation efforts. Supports the organization’s commitment to robust AML governance and operational effectiveness.

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. Conduct/own most aspects of the model development life cycle. The model development life cycle includes data acquisition, assessing data integrity, model development, documentation, implementation assistance and assisting with closing assurance provider issue related to the model.

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. Ensure model development projects and processes comply with Truist requirements for model risk management and other policy requirements.

4. Assist with mentoring and training to accelerate model development in areas of techniques, process and business knowledge.

5. Advocate towards user understanding and acceptance of models and associate analytics, including written and verbal presentations to model users, stakeholders, managers and oversight groups.

6. Serve as core point of contact to address model questions within the firm as needed, including assurance providers (e.g., Corporate Model Risk Management, Corporate Audit, and regulators). Support regulatory examinations and address respective requests.

7. Assist with identifying, recruiting, and maintaining, quantitative talent.

QUALIFICATIONS

Required 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.

1. Ten years of relevant experience in best practices, or equivalent financial industry experience developing, documenting, implementing, or validating quantitative models with concentration in a particular financial domain

2. Seven+ years of model development experience using SAS or other applicable model development software/programming tools

3. Strong English communication skills, both written and verbal

4. Ability to distill complex mathematical concepts into actionable results

5. Strong work ethic; promote and conduct continued development of personal and associate knowledge base and technical skills

6. Organization skills: Ability to communicate and manage competing organizational priorities effectively

7. Problem solving skills: Strong problem solving skills

8. Education: Advanced degree or equivalent experience in Statistics, Econometrics, Operations Research, Actuarial Science, Applied Mathematics, or other applied quantitative science, or equivalent education and related training

Preferred Qualifications:

1. Master's degree/PhD

2. Relevant professional designation(s)

3. Experience developing and monitoring machine learning models

4. Experience developing and monitoring models in AML or financial crime contexts

5. Hands-on experience with model lifecycle phases including assessing data quality, designing and developing models, documenting models, supporting validations, monitoring model performance, and remediating issues

6. Certification in AML or data science (e.g., CAMS, SAS, or equivalent)

7. Knowledge of graph-based analytics or network analysis in AML

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.

Truist is an Equal Opportunity Employer that does not discriminate on the basis of race, gender, color, religion, citizenship or national origin, age, sexual orientation, gender identity, disability, veteran status, or other classification protected by law. Truist is a Drug Free Workplace.

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