TD

Specialist, Fraud & Insider Risk Detection Strategy & Modeling Oversight

TD

full-time

Posted on:

Location Type: Hybrid

Location: New York City • New York • 🇺🇸 United States

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Salary

💰 $95,264 - $155,376 per year

Job Level

Mid-LevelSenior

Tech Stack

Cyber Security

About the role

  • Contributes to the oversight, monitoring, and challenge of both external fraud and insider risk detection capabilities.
  • Supports senior leadership in assessing the design and performance of fraud strategies, rules, and models throughout the customer lifecycle.
  • Collaborates with Model Risk Management and other stakeholders on activities such as model documentation, risk tiering, validation support, and change classification.
  • Assists in evaluating the effectiveness of detection tools and practices while ensuring governance alignment.
  • Prepares clear, data-driven summaries and contributes updates for risk committees and working groups on trends, key risk indicators, and emerging threats.
  • 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.

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; 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
  • Ability to work collaboratively across teams and functions (e.g., Fraud Strategy, HR, Cybersecurity, Audit, Model Risk Management, and Technology) to support oversight activities
Benefits
  • Health insurance
  • Savings and retirement programs
  • Paid time off (including Vacation PTO, Flex PTO, and Holiday PTO)
  • Banking benefits and discounts
  • Career development opportunities
  • Reward and recognition programs

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
data analysisfraud riskinsider threatcybersecurityrisk managementanalyticsinternal auditfraud detection toolsmodel performance assessmentchange governance
Soft skills
analytical skillscollaborationcommunicationclear summarizationstakeholder engagementgovernance supportperformance monitoringreport preparationtechnical insight translationteamwork
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