This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Emerging Fraud Researcher based in United States. This role focuses on identifying new and evolving fraud behaviors across voice, messaging, and email channels. You’ll investigate emerging threats by analyzing large-scale traffic, industry trends, and billions of events with advanced AI tools. The position combines independent research with hands-on collaboration across data science, engineering, and security teams. You’ll help develop machine learning models and proactive mitigation strategies that protect customers and strengthen platform integrity. A key part of the role is uncovering novel fraud patterns, testing network vulnerabilities, and reducing exposure to systemic abuse. You’ll also lead investigations into high-impact incidents and translate complex findings into practical recommendations. This is a remote opportunity for an experienced fraud, trust and safety, or security professional who enjoys solving complex problems at scale. Accountabilities: 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. Build proactive approaches to identifying emerging threats before they develop into broader systemic risks. 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, with the ability to query large datasets and identify previously unseen fraud behaviors or systemic abuse. 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. Strong analytical, investigative, problem-solving, and communication skills. Comfortable working remotely and collaborating across technical and business functions. Must be legally authorized to work in the United States and meet applicable employment eligibility requirements. Remote work is available throughout the United States, except for California, Connecticut, New Jersey, New York, Pennsylvania, and Washington. Willingness to travel occasionally for project meetings, team gatherings, or other in-person business activities. Benefits: Competitive compensation based on skills, experience, and geographic location. Published salary ranges for eligible locations include: Colorado, Hawaii, Illinois, Maryland, Massachusetts, Minnesota, Vermont, and Washington, D.C.: $171,120–$213,900. New York, New Jersey, Washington State, and California outside the San Francisco Bay Area: $181,200–$226,500. San Francisco Bay Area, California: $201,280–$251,600. Potential eligibility for equity participation and a corporate bonus plan. Health care insurance. 401(k) retirement savings program. Paid sick time and personal time off. Paid parental leave. Generous time-off and wellness benefits. Remote-first working environment with occasional opportunities for in-person collaboration. Opportunities to work with large-scale datasets, AI tools, machine learning, and advanced fraud detection technologies. Professional growth through exposure to complex, evolving fraud and security challenges. Applications are intended to remain open until October 14, 2026, subject to business needs.