Senior Manager, Fraud Risk Analytics & AI Oversight

## Senior Manager, Fraud Risk Analytics & AI OversightPostulerremote type: Hybridelocations: Mount Laurel, New Jersey: 11325 North Community House Road, Suite 575, Charlotte, North Carolina: New York, New Yorktime type: Temps pleinposted on: Publié aujourd'huitime left to apply: Date de fin : 19 juin 2026 (Il reste 13 jours pour postuler)job requisition id: R\_1493369**Work Location:**Mount Laurel, New Jersey, États-Unis d'Amérique**Hours:**40**Pay Details:**$123,050 - $201,170 USDTD 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:**Analyses, informations et intelligence artificielle**Job Description:**The Modelling/Forecasting Senior Specialist is the primary or top technical expert on defining technical plans, anticipates demands, identifies opportunities with a broad cross business or enterprise focus. This role is the top-level specialist in the creation of significant and highly specialized or complex data models.**The Senior Manager, Fraud Risk Analytics & AI Oversight** leads ORM / ERM‐wide efforts for the Fraud, Insider and Conduct Risk Management team, with a strong focus on building and sustaining an integrated ecosystem of information across multiple systems and platforms. This role is responsible for the design, development, and curation of complex presentations, reports, dashboards, and scorecards that synthesize data from disparate sources to deliver clear, actionable insights for Fraud Risk Management, peers, and senior leadership.This role also supports the integration of Artificial Intelligence (AI), including Generative AI (GenAI) and emerging Agentic AI capabilities, into reporting, analytics, and risk management processes. The incumbent will contribute to both the development of AI-enabled solutions and provide effective 2nd line oversight and challenge of the 1st line of defense AI use cases and outputs, ensuring alignment with enterprise governance, model risk, and responsible AI standards.The role serves as a technical working lead and subject matter expert, leveraging platforms such as Power BI, Power Apps, eGRC, and other enterprise data and reporting tools to gather, integrate, and visualize information in a consistent and scalable manner. Additionally, the role will evaluate opportunities to embed AI-driven automation, intelligent summarization, and decision-support tooling into existing reporting and risk routines, while ensuring transparency, explainability, and appropriate controls over AI usage, including independent review and challenge of 1st line AI-enabled processes and outputs.The incumbent will partner closely with senior leadership on high‐impact initiatives, ensuring alignment of metrics across the organization and enabling effective decision‐making through high‐quality analytics, reporting, and visualization.Additionally, this role drives the streamlining, health, and simplification of the reporting stack and related Risk processes, ensuring optimal efficiency, consistency, and transparency. The role will lead risk and control routine management and reporting, as well as Policy, Framework, Procedure, Standard, and Control writing or consultation for the US Fraud, Insider and Conduct Risk teams. They will provide domain‐level expertise and risk‐based support for testing and quality assurance and have responsibility for Risk and Board Committee reporting. This is an individual contributor role with potential opportunity to build out a team in the future.The Lead Business Intelligence Specialist provides oversight and consultative advice and guidance to others as the top specialist with enterprise or significant cross business mandate. This role is responsible to provide the design/development of complex presentations, reports, dashboards and scorecards to support business needs; ensures alignment of metrics across the organization. This role acts a technical working lead/expert to others. This role works closely with senior leadership on significant projects. Additionally, this role drives the streamline, healthiness, and simplification of the reporting stack, ensuring optimal efficiency and clarity.**Depth & Scope:*** Generally accountable for significant advanced analytics and/or modelling 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 Qualifications:*** Experience developing and maintaining enterprise reporting and analytics ecosystems that integrate data from multiple systems and platforms* Strong technical experience with Power BI (data modeling, DAX, dashboard design, and data visualization)* Experience building solutions using Power Apps to support data capture, workflow, and reporting enablement* Familiarity with eGRC platforms and the use of control, risk, and policy data for management and executive reporting* Experience working with Artificial Intelligence (AI), including Generative AI (GenAI), in analytics, reporting, or risk management contexts* Experience supporting or developing GenAI-enabled use cases (e.g., automated insights, summarization, AI-assisted reporting) and/or familiarity with Agentic AI workflows for process automation and decision support* Understanding of AI risk management and governance principles, including model risk, explainability, bias, and the ability to assess and challenge AI-generated outputs in a regulated environment* Technical knowledge of fraud threats, risks, and controls, with experience in the banking or financial services industry* Strong business intelligence, analytics, and data synthesis skills, with the ability to translate complex information into clear executive‐level insights* Ability to analyze large and complex datasets and succinctly summarize key themes, trends, and risk implications* Strategic mindset with the ability to execute tactically and deliver scalable, repeatable solutions* Excellent PowerPoint and storytelling skills to support committee, executive, and board‐level communications* Strong stakeholder management, collaboration, and communication skills across technical and non‐technical audiences**Customer Accountabilities:*** 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**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 comprehending instructions – Continuous* Adding, subtracting, multiplying and dividing – ContinuousThe above statements are intended to describe the general nature and level of work being performed by people assigned to this job. They are not intended to be an exhaustive list of all responsibilities, duties and skills required. The listed or specified responsibilities & duties are considered essential functions for ADA purposes. #J-18808-Ljbffr