Emerging Fraud Researcher
New
J
JobgetherTrust and Safety
Remote work is available throughout the United States, except for California, Connecticut, New Jersey, New York, Pennsylvania, and Washington.Full-TimeSenior
Salary$171,120–$213,900 (Colorado, Hawaii, Illinois, Maryland, Massachusetts, Minnesota, Vermont, D.C.); $181,200–$226,500 (NY, NJ, WA, CA outside Bay Area); $201,280–$251,600 (SF Bay Area, CA)
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Job Details
- Experience
- 5+ years
- Required Skills
- SQLData AnalysisMachine LearningData visualization
Requirements
- 5+ years of experience in fraud investigations, trust and safety, security analysis, or a closely related field within a high-growth technology environment or large-scale distributed systems.
- Advanced experience with complex data analysis, SQL, and data visualization tools.
- Demonstrated experience designing and implementing proactive fraud mitigation strategies that protect platforms, customers, and network integrity.
- Strong experience leading cross-functional incident response and communicating complex security or fraud risks to both technical and executive stakeholders.
- Ability to conduct independent research, identify patterns in ambiguous datasets, and turn findings into practical security and fraud-prevention actions.
- Familiarity with machine learning concepts and their application to fraud detection is highly valued.
- Experience in CPaaS, telecommunications, payments, or similarly complex digital ecosystems is a plus.
- Relevant professional certifications such as Certified Fraud Examiner (CFE) or Certified Information Systems Security Professional (CISSP) are advantageous.
- Willingness to travel occasionally for project meetings, team gatherings, or other in-person business activities.
Responsibilities
- Conduct independent research using AI-powered tools to identify novel and emerging fraud trends across voice, messaging, and email.
- Analyze large-scale messaging and voice traffic to uncover new patterns of fraudulent activity, including Artificial Intelligence Traffic (AIT) and account takeover (ATO).
- Work closely with data scientists to develop and refine machine learning models capable of detecting fraudulent behaviors at scale.
- Continuously stress-test network environments to identify vulnerabilities, weaknesses, and opportunities for proactive protection.
- Design and execute fraud mitigation strategies that protect customers, strengthen platform integrity, and minimize risk exposure.
- Collaborate with data science and engineering teams to improve detection capabilities and reduce false positives.
- Lead or support in-depth investigations into high-impact fraud incidents, conducting root-cause analysis and developing actionable recommendations.
- Monitor evolving industry trends in fraud, bot detection, and related forms of platform abuse to strengthen defensive capabilities.
- Translate complex fraud and security findings into clear, actionable strategies for technical teams and executive stakeholders.
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