Senior Fraud Modeling & Risk Analytics Lead

Truist; United States; À distance; USD 110 000 - 160 000; Plein temps

Avantages offerts par ce poste

Health benefits

401k plan

Paid time off

Résumé du poste

Truist is seeking a quantitative model developer focused on fraud models, covering development, monitoring, and risk documentation. You will work with stakeholders to ensure models meet business objectives and regulatory expectations.

The role emphasizes strong English communication, collaboration across teams, and adherence to model risk policies. Advanced degrees are preferred, with opportunities to mentor junior staff and contribute to ongoing model validation efforts.

Qualifications

• Two or more years of experience developing, documenting, implementing, or validating quantitative models using SAS or other tools.
• Strong English communication skills, both written and verbal.
• Ability to distill complex mathematical concepts into actionable results.
• Promotes ongoing development of personal and associate knowledge and skills.
• Ability to manage competing priorities effectively.
• Education in statistics, econometrics, OR, actuarial science, applied math, or related field.

Responsabilités

• Conduct components of the model development life cycle, including data acquisition and documentation.
• Evaluate monitoring, performance reporting, and change-management processes with stakeholders.
• Ensure models comply with model risk management requirements and policies.
• Mentor and train colleagues to accelerate model development in techniques and business knowledge.
• Prepare written and verbal presentations for model users, stakeholders, and oversight groups.
• Assist with identifying and maintaining quantitative talent.

Connaissances

SAS

Model development

Communication

Formation

Advanced degree in statistics or related field

Master’s/PhD in quantitative field

Outils

Python

R

Description du poste

Truist is seeking a quantitative model developer focused on fraud models, covering development, monitoring, and risk documentation. You will work with stakeholders to ensure models meet business objectives and regulatory expectations.

The role emphasizes strong English communication, collaboration across teams, and adherence to model risk policies. Advanced degrees are preferred, with opportunities to mentor junior staff and contribute to ongoing model validation efforts.