Head of Quantitative Financial Crimes

Truist Bank•Charlotte, NC

About The Position

The Head of Quantitative Financial Crimes leads the design, development, and governance of advanced analytic and modeling capabilities to detect, prevent, and report financial crimes (including AML, fraud, sanctions, and cyber-enabled risks) across the enterprise. This role is responsible for building and overseeing a portfolio of statistical, machine learning, and network-based models; ensuring alignment with regulatory expectations (e.g., model risk management, explainability, and effective challenge); and integrating data, technology, and investigative workflows to enhance detection effectiveness while minimizing false positives and operational burden. The leader partners closely with Financial Crimes, Fraud, Compliance, and Technology units to deliver scalable solutions, drive continuous model performance monitoring and tuning, and embed quantitative rigor into financial crimes strategy. Additionally, the role establishes talent standards, development frameworks, and best practices for their quantitative team, ensures defensible documentation and audit readiness, and provides executive-level reporting on model performance, emerging risks, and program effectiveness. The Quantitative Office (QO) is Truist’s central and lead model development function, serving as a critical enterprise capability that underpins risk management, financial performance and strategic decision-making across the bank. QO drives enterprise-wide impact by integrating and scaling advanced quantitative modeling disciplines within a unified strategic framework. Through specialized teams spanning Credit Loss, Quantitative Finance, Wholesale Risk Rating, Retail Underwriting and Compliance, and Financial Crimes – supported by horizontal delivery, governance, and quantitative asset management functions – QO develops and manages the majority of the bank’s most important models. As Truist’s centralized model development authority, QO establishes consistent standards, strengthens technical rigor, and accelerates innovation. QO serves as a strategic engine that reduces risk, enhances model reliability, and optimizes performance across all business units.

Requirements

Bachelor's degree in Statistics, Econometrics, Applied Mathematics, Operations Research, or other applied quantitative science, or equivalent education and related training.
10+ years of relevant experience, or equivalent financial industry experience developing, documenting, implementing, or validating quantitative models

Nice To Haves

Master's degree or higher in Statistics, Econometrics, Mathematics, or other applied quantitative science, or equivalent education and related training.
3-5+ years of relevant experience supervising or acting as a team lead over teammates with quantitative educational and/or work backgrounds.

Responsibilities

Manage model development/estimation activities across the model life cycle, including planning, data acquisition, estimation, evaluation, documentation, approval, model/business process integration and implementation
Build / lead a team of highly skilled quantitative model developers to develop risk models using advance modeling approaches and set the standard for excellent performance
Provide leadership / mentorship to other quantitative model development managers across various products, modeling disciplines and complexities.
Establish, maintain and administer model development infrastructure, process and procedures
Assist various parties (e.g., lines of business leads) with identifying/assessing viable model development opportunities
Assist with model compliance activities as it relates to Model Risk Management/SR 26-2 policy/standards
Assist client (model owner) with integrating model into the business process and model deployment activities, including production scoring support and sustainability, as appropriate
Provide on-going model support specific to evaluation/surveillance and interpretation of model performance
Provide consultation and represent client (model owner) during 3rd party assurance provider (e.g., Model Risk Management, Corp Audit, regulatory bodies) reviews and Q&A activities