Senior Manager, Fraud Risk Analytics & AI Oversight

TD•Mount Laurel, NJ

2d•$123,050 - $201,170•Onsite

About The Position

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.

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

Nice To Haves

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

Responsibilities

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.
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.
Supports the integration of Artificial Intelligence (AI), including Generative AI (GenAI) and emerging Agentic AI capabilities, into reporting, analytics, and risk management processes.
Contributes to both the development of AI-enabled solutions and provides 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.
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.
Evaluates 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.
Partners 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.
Drives the streamlining, health, and simplification of the reporting stack and related Risk processes, ensuring optimal efficiency, consistency, and transparency.
Leads 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.
Provides domain‑level expertise and risk‑based support for testing and quality assurance and has responsibility for Risk and Board Committee reporting.
Provides oversight and consultative advice and guidance to others as the top specialist with enterprise or significant cross business mandate.
Ensures alignment of metrics across the organization.
Acts as a technical working lead/expert to others.
Works closely with senior leadership on significant projects.
Drives the streamline, healthiness, and simplification of the reporting stack, ensuring optimal efficiency and clarity.
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 for own area requiring seasoned specialist knowledge and/or the integration of cross functional processes.
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 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.
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.
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.