Senior Quantitative Model Development Manager, Retail Credit Loss Forecasting

About This Role

Manage a high-performing team of quantitative analysts focused on the end-to-end development lifecycle of retail credit loss forecasting models. The models are used for business as usual (BAU), CCAR, and CECL processes, ensuring compliance with risk management policies and regulatory requirements.

Responsibilities

• Manage all aspects of the model development life cycle, including data acquisition, assessing data integrity, model development, documentation, implementation assistance, and assisting with closing assurance provider issues.
• Actively participate in the model development lifecycle, and develop, maintain, and supervise monitoring, performance reporting, and change-management processes.
• Work with stakeholders to ensure models fulfill their business objectives and comply with Truist requirements for model risk management and other policy requirements.
• Provide mentoring and training to accelerate model development in areas of techniques, process, and business knowledge.
• Advocate towards user understanding and acceptance of models and associated 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, including assurance providers (e.g., Corporate Model Risk Management, Corporate Audit, and regulators) and support regulatory examinations.
• Identify, recruit, maintain, and manage quantitative talent; delegate effectively to resolve organizational requirements.

Requirements

• 10+ years experience in quantitative model development, documentation, implementation, or validation in financial industry
• 7+ years of model development experience using SAS or other applicable model development software/programming tools
• Management ability to lead projects and teams
• Strong English communication skills, both written and verbal
• Ability to distill complex mathematical concepts into actionable results
• Strong work ethic and organizational skills
• Strong problem-solving skills
• Advanced degree or equivalent experience in Statistics, Econometrics, Operations Research, Actuarial Science, Applied Mathematics, or other applied quantitative science

Qualifications

• Advanced degree or equivalent experience in Statistics, Econometrics, Operations Research, Actuarial Science, Applied Mathematics, or other applied quantitative science
• Ten years of relevant experience in best practices, or equivalent financial industry experience developing, documenting, implementing, or validating quantitative models with a concentration in a particular financial domain, plus seven+ years of model development experience using SAS or other model development software/programming tools.

Nice to Have

• Master's degree/PhD
• Relevant professional designation(s)
• Experience in risk management
• Knowledge/experience of best practices in retail credit loss forecasting and current regulatory environment

Skills

* Required skills

Benefits