Quantitative Model Development Officer II- Anti-Money Laundering

Truist Bank•Charlotte, NC

4d•Onsite

About The Position

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.

Requirements

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
Seven+ years of model development experience using SAS or other applicable model development software/programming tools
Strong English communication skills, both written and verbal
Ability to distill complex mathematical concepts into actionable results
Strong work ethic; promote and conduct continued development of personal and associate knowledge base and technical skills
Organization skills: Ability to communicate and manage competing organizational priorities effectively
Problem solving skills: Strong problem solving skills
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

Nice To Haves

Master's degree/PhD
Relevant professional designation(s)
Experience developing and monitoring machine learning models
Experience developing and monitoring models in AML or financial crime contexts
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
Certification in AML or data science (e.g., CAMS, SAS, or equivalent)
Knowledge of graph-based analytics or network analysis in AML

Responsibilities

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.
Develop, maintain and supervise monitoring, performance reporting, and change-management processes. Work with stakeholders to ensure models fulfill the business objectives set for them.
Ensure model development projects and processes comply with Truist requirements for model risk management and other policy requirements.
Assist with mentoring and training to accelerate model development in areas of techniques, process and business knowledge.
Advocate towards user understanding and acceptance of models and associate analytics, including written and verbal presentations to model users, stakeholders, managers and oversight groups.
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.
Assist with identifying, recruiting, and maintaining, quantitative talent.