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

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

NYC StaffingNew York, NY, US
3 days ago
Job type
  • Full-time
Job description

Senior Manager, External Fraud Detection Strategy & Modeling Oversight

Work Location : New York, New York, United States of America Hours : 40 Pay Details : $122,304 - $199,680 USD TD is committed to providing fair and equitable compensation opportunities to all colleagues. Growth opportunities and skill development are defining features of the colleague experience at TD. Our compensation policies and practices have been designed to allow colleagues to progress through the salary range over time as they progress in their role. The base pay actually offered may vary based upon the candidate's skills and experience, job-related knowledge, geographic location, and other specific business and organizational needs. As a candidate, you are encouraged to ask compensation related questions and have an open dialogue with your recruiter who can provide you more specific details for this role.

Line of Business : Analytics, Insights, & Artificial Intelligence

Job Description : 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 of the external fraud detection capabilities, taking into consideration an understanding of IT, cybersecurity, and other banking controls. This position provides credible challenge of the first line fraud strategies, rules, models, and change activity throughout the customer lifecycle, including onboarding, authentication, transaction monitoring, etc. 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.

Depth & Scope :

  • Generally accountable for significant advanced analytics and / or modeling function or area that typically has enterprise-wide impact or accountability
  • Enterprise or functional expert, requiring broad managerial and deep specialized knowledge with enterprise scope
  • Undertakes and completes a variety of complex initiatives requiring for own area 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

Education & Experience :

  • 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
  • Preferred Qualification :

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

  • Leads on managing business data modeling needs for the overall function and ensures data modeling 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
  • Shareholder Accountabilities :

  • Adheres to enterprise frameworks or methodologies that relate to activities for our business area
  • 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
  • Employee / Team Accountabilities :

  • Participates fully as a member of the team, supports a positive work environment that promotes service to the business, quality, innovation and teamwork and ensures timely communication of issues / points of interest
  • Provides thought leadership and / or industry knowledge for own area of expertise in own area and participate in knowledge transfer within the team and business units
  • Keeps current on emerging trends / developments and grows knowledge of the business, related tools and techniques
  • Participates in personal performance management and development activities, including cross training within own team
  • Keep others informed and up to date about the status / progress of projects and / or all relevant or useful information related to day-to-day activities
  • Contributes to team development of skills and capabilities through mentorship of others, by sharing knowledge and experiences and leveraging best practices
  • Leads, motivates and develops relationships with internal and external business partners / stakeholders to develop productive working relationships
  • Contributes to a fair, positive and equitable environment that supports a diverse workforce
  • Acts as a brand ambassador for your business area / function and the bank, both internally and / or externally
  • Physical Requirements :

  • Never : 0%; Occasional : 1-33%; Frequent : 34-66%; Continuous : 67-100%
  • Domestic Travel Occasional
  • International Travel Never
  • Performing sedentary work Continuous
  • Performing multiple tasks Continuous
  • Operating standard office equipment - Continuous
  • Responding quickly to sounds Occasional
  • Sitting Continuous
  • Standing Occasional
  • Walking Occasional
  • Moving safely in confined spaces Occasional
  • Lifting / Carrying (under 25 lbs.) Occasional
  • Lifting / Carrying (over 25 lbs.) Never
  • Squatting Occasional
  • Bending Occasional
  • Kneeling Never
  • Crawling Never
  • Climbing Never
  • Reaching overhead Never
  • Reaching forward Occasional
  • Pushing Never
  • Pulling Never
  • Twisting Never
  • Concentrating for long periods of time Continuous
  • Applying common sense to deal with problems involving standardized situations Continuous
  • Reading, writing and comprehend
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