Head of Quantitative Business Solutions at Truist

Head Of Quantitative Business Solutions

The Head Of Quantitative Business Solutions is a senior executive responsible for translating advanced quantitative methodologies into scalable, production-ready solutions that directly support the bank's core client facing business lines, including consumer, small business, wealth, and wholesale. This role serves as a critical bridge between quantitative research and development, technology, and business stakeholders, ensuring that analytical models, optimization tools, and decision engines are effectively embedded into frontline processes. The position oversees the design, delivery, monitoring, and continuous improvement of end-to-end quantitative solutions, with a focus on enhancing risk-adjusted returns, credit extension, operational efficiency, and customer outcomes, while maintaining alignment with regulatory expectations and model risk management standards.

In addition, the Head Of Quantitative Business Solutions leads an organization of quantitative professionals to industrialize models and analytics, ensuring robustness, scalability, and proper governance throughout the model lifecycle. The role partners closely with business executives, risk management, and technology leadership to prioritize initiatives, allocate resources, and drive strategic transformation, delivery, and decisioning related. A key mandate includes establishing best practices for model integration, monitoring, and performance measurement, while fostering innovation through the adoption of advanced analytics and machine learning techniques in a controlled and compliant manner and effective model risk mitigation.

Essential duties and responsibilities include setting model development strategy and priorities across in-scope major client facing business line portfolios, aligning investment and sequencing to business strategy, risk appetite, and regulatory expectations. The role also involves owning executive accountability for model development delivery across multiple teams/leaders, including scope, resourcing, quality, and timelines for new builds, redevelopments, and material changes across the inventory.

Qualifications include a master's degree in statistics, econometrics, applied mathematics, operations research, data science, engineering, computer science, or other applied quantitative science (or equivalent education and related training). Twelve (12) years of relevant experience in a quantitative function in a financial services setting (or equivalent regulated industry experience) is also required, along with seven (7) years of leadership experience, setting performance standards, and driving deliverables across multiple teams.