Senior Process Manager - Fraud Data Modeling (Vice President)

Functional Skills

• Master's degree in a quantitative field such as Statistics, Mathematics, Economics, or related discipline preferred. PhD in a quantitative discipline preferred.
• 12+ years of experience in fraud data modelling or any related quantitative fields is required.
• Extensive experience with Model Risk Management (MRM), including model governance, validation, monitoring, documentation, regulatory engagement, and effective challenge.
• Deep expertise in fraud risk analytics preferred, with direct experience developing, validating, or overseeing digital fraud models.
• Experience in credit risk, BSA/AML, or related financial crime analytics functions preferred.
• Expert-level proficiency in SQL and one or more analytical programming languages such as Python, R, or SAS.
• Strong knowledge of statistical modeling, machine learning, model validation methodologies, and performance monitoring frameworks.
• Experience presenting model findings and risk assessments to senior management, risk committees, auditors, and regulators.

Technical/Business Skills

• Strong understanding of banking regulations, model governance requirements, and industry best practices.
• Prior people leadership, team lead, mentoring, or project leadership experience.
• Must be able to work independently on assigned duties while successfully collaborating in a team friendly environment.
• Strong organizational and time management skills are essential under tight deadlines.
• Ability to independently prioritize deliverables and assignments.

Relationships & Collaboration

Accessibility Needs

Equal Employment Opportunity