Senior Manager, External Fraud Detection Strategy & Modeling Oversight (US)

TD • Charlotte, NC

64d • $122,304 - $199,680

About The Position

As a member of the Bank's second line of defense, the Senior Manager, External Fraud Detection Strategy & Modeling Oversight provides oversight, monitoring, and challenge the external fraud detection capabilities, taking into consideration an understanding of IT, cybersecurity, and other banking controls. This includes providing credible challenge of the first line fraud strategies, rules, models, and change activity throughout the customer lifecycle, including onboarding, authentication, transaction monitoring, etc. This position partners closely with Model Risk Management on activities such as model inventory, risk-tiering, validation remediation, and change classification. Strong knowledge of both proprietary and vendor fraud tools, including device, identity, behavioral, and orchestration solutions, with the ability to challenge efficacy, explainability, and operating service levels. This is a highly technical role that provides oversight, monitoring and challenge on the orchestration, architecture, data governance, and workflow development supporting external risk detection. The role champions analytics and data-driven decisioning, with fluency in AI/ML methods applied to fraud management while ensuring oversight remains grounded in sound governance, monitoring, and documentation suitable for regulatory examination. The Senior Manager engages and influences stakeholders through clear communication and compelling data narratives, presenting regular updates to risk committees and forums on key risk indicators, breaches, material changes, and emerging external threats.

Requirements

• Undergraduate degree or advanced technical degree preferred (e.g., math, physics, engineering, finance or computer science).
• Graduate's degree preferred with either progressive project work experience, or; 7+ year of relevant experience; higher degree education and research tenure can be counted.
• Experience in fraud risk and analytics within financial services, with deep expertise in external fraud across deposits, payments, secured, and unsecured lending, account takeover, identity/new account fraud, and anomaly detection.
• Demonstrated experience in the oversight of fraud detection rules and models, including performance monitoring, back-testing, and change governance; familiarity with AI/ML applications in fraud and related governance expectations.
• Strong track record of stakeholder management across first line Fraud Strategy and Operations, Model Risk Management, Technology, Data Risk, and Vendor Risk, with proven ability to credibly challenge and influence business outcomes.
• Exceptional written and verbal communication skills, with experience preparing and delivering materials for senior executives and, when required, regulators.

Nice To Haves

• Master's degree or advanced certifications in analytics, data science, statistics, or a related field strongly preferred.

Responsibilities

• Accountable for significant advanced analytics and/or modelling function or area that typically has enterprise-wide impact or accountability.
• Undertakes and completes a variety of complex initiatives requiring seasoned specialist knowledge and/or the integration of cross functional processes.
• Typically deals with senior/executive management.
• Focuses on longer-range planning for functional area (e.g. 12 months or greater).
• May manage and prioritize multiple projects at a given time.
• Leads on managing business data modeling needs for the overall function and ensures data modelling requests/activities are aligned to overall strategies.
• Provides deep and highly specialized subject matter expertise to other modelers and/or internal partners as needed in the development of data analytical models.
• Recommends opportunities for reuse of data models in new environments.
• Evaluates data models and physical databases for variances and discrepancies.
• Develops best practices for standard naming conventions and coding practices to ensure consistency of data models.
• Provides business leadership with emerging industry trends and/or leading-edge concepts on data analytics, descriptive and predictive models.
• Reviews modifications to existing data models to improve efficiency and performance.
• Ensures respective programs/policies/practices are well managed, meets business needs, complies with internal and external requirements, and aligns with business priorities.
• Participates in cross-functional/enterprise initiatives as a subject matter expert helping to identify risk/provide guidance for complex situations.
• Conducts internal and external research projects; support the development/delivery of presentations/communications to management or broader audience.
• Conducts meaningful analysis at the functional or enterprise level using results to draw conclusions, makes recommendations, assesses the effectiveness of programs/policies/practices.
• Monitors service, productivity and assesses efficiency levels within own function and implements continuous process/performance improvements where opportunities exist.
• Leads/facilitates and/or implements action/remediation plans to address performance/risk/governance issues.
• Actively manages relationships within and across various business lines, corporate and/or control functions and ensures alignment with enterprise and/or regulatory requirements.
• Keeps abreast of emerging issues, trends, and evolving regulatory requirements and assesses potential impacts.
• Maintains a culture of risk management and control, supported by effective processes in alignment with risk appetite.

Benefits

• Base salary and variable compensation/incentive awards.
• Health and well-being benefits.
• Savings and retirement programs.
• Paid time off (including Vacation PTO, Flex PTO, and Holiday PTO).
• Banking benefits and discounts.
• Career development and reward and recognition programs.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: Master's degree
• Number of Employees: 5,001-10,000 employees