Specialist fraud risk strategy
Work Location:
New York, New York, États-Unis d'Amérique Hours 40 Pay Details $95,264 - $155,376 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 Analyses, informations et intelligence artificielle Job Description As a member of the Bank's second line of defense, the Specialist, Fraud & Insider Risk Detection Strategy & Modeling Oversight contributes to the oversight, monitoring, and challenge of both external fraud and insider risk detection capabilities. This role supports senior leadership in assessing the design and performance of fraud strategies, rules, and models throughout the customer lifecycle, as well as internal risk controls related to IT, cybersecurity, and HR. The Specialist collaborates with Model Risk Management and other stakeholders on activities such as model documentation, risk tiering, validation support, and change classification. The position requires working knowledge of a wide range of detection tools, including device, identity, behavioral, orchestration, and user behavior analytics (UBA/UEBA). It also requires familiarity with insider-risk monitoring such as anomaly detection, entitlement monitoring, and controls around privileged access, segregation of duties, toxic combinations, and dual controls. The Specialist assists in evaluating the effectiveness of these tools and practices while ensuring governance alignment. This role is analytical and detail-oriented, with a focus on supporting monitoring, governance, and documentation to promote effective fraud and insider risk detection practices and alignment with regulatory expectations. The Specialist prepares clear, data-driven summaries and contributes updates for risk committees and working groups on trends, key risk indicators, and emerging threats. Additionally, the role plays a key part in preparing reporting materials, maintaining governance records, and supporting communications that translate technical insights into clear, concise narratives for senior stakeholders. This role is developmental in nature, offering opportunities to deepen knowledge in analytics, AI/ML applications, and governance, while building cross-functional collaboration skills across HR, Cybersecurity, Audit, Risk, and Technology functions. Depth & Scope- Acts as a subject matter expert integrating cross function understanding within their own field of specialty
- Works autonomously and accountable for acting as a lead within a specialized analytics function and may provide work direction to others
- Provides seasoned specialized knowledge, advice and/or guidance to various stakeholders and team members
- Expert at utilizing data sources across the organization with ability to integrate data across multiple platforms
- Works effectively across multiple business units with numerous stakeholders to deliver advanced analytics solutions
- Scope of role may have business segment and/or enterprise impact
- General focus on broad range of complex issues that may span from medium – long term issues (e.g. 6-12 months)
- 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;
- 5+ year of relevant experience; higher degree education and research tenure can be counted.
- Bachelor's degree in analytics, data science, statistics, or a related field strongly preferred
- Experience in fraud risk, insider threat, cybersecurity, risk management, analytics, internal audit, or investigations within financial services
- Exposure to external fraud risk types such as account takeover, identity theft, first party fraud, synthetic identity, and new account fraud
- Familiarity with insider risk or internal-fraud concepts such as privileged access, toxic combinations, segregation of duties, dual controls, and exception monitoring
- Familiarity with fraud detection tools and techniques (e.g., device, identity, behavioral or orchestration solutions) and interest in learning how to assess model, rule, and strategy performance Exposure to monitoring tools and technologies such as UBA/UEBA, DLP, SIEM or workflow/case management systems
- Demonstrated ability to support governance activities including performance monitoring, back-testing, and change governance
- Strong analytical skills with proficiency in data analysis and the ability to summarize findings clearly for stakeholders
- Interest in developing knowledge of AI/ML applications, model governance, and regulatory expectations in a financial services context
- Effective communicator with strong written and verbal skills; comfortable preparing materials for working groups, management reporting, or regulatory readiness activities
- Ability to work collaboratively across teams and functions (e.g., Fraud Strategy, HR, Cybersecurity, Audit, Model Risk Management, and Technology) to support oversight activities
- Interest in developing knowledge of AI/ML applications, model governance, and regulatory expectations in a financial services context.
- Works closely with business management on data modelling requests/activities to ensure alignment with overall strategies
- Leads the activities related to delivery of data deliverables - data package, data model, and data mappings
- Responsible for reading business and technical requirements to ensure data deliverables meet business needs
- Conducts walkthroughs of all data deliverables to aid approval/sign-off process with internal stakeholders
- 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; supports 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 participates in knowledge transfer within the team and business unit
- 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
- Keeps 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
- 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 – Continuous
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