Tech Stack
Tag name is followed by "@" symbol and proficiency level value.
About proficiency levels:
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
API
Communication @ 6
FinTech @ 3
Fraud @ 3
KYC
Leadership @ 6
Payments @ 3
Security @ 8
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Details
About Stripe
Stripe is a financial infrastructure platform for businesses. Millions of companies use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Its mission is to increase the GDP of the internet.
About the Team
The Abuse Research team proactively hunts for emerging abuse vectors and studies complex attacker behaviors. The team maps complete abuse paths across Stripe products and external systems to validate novel findings and explain the product conditions that enable fraud. By building continuous abuse tests with agentic testing and related systems, the team translates research into threat advisories, strategic control recommendations, and regression scenarios that strengthen Stripe's defenses.
Responsibilities
- Lead, develop, and retain a team of threat intelligence analysts, fraud researchers, and detection engineers.
- Set and execute the research agenda across threat actor tracking, fraud investigation, merchant ecosystem defense, and automated detection engineering.
- Provide technical depth and analytical judgment on complex investigations, including API key takeovers, account compromise campaigns, and KYC bypass techniques.
- Operationalize research findings into production-level detection rules, automated response mechanisms, and cross-functional escalations.
- Collaborate with Risk, Trust & Safety, Fraud Platform, and Security Engineering to translate abuse research into proactive platform protections.
- Coordinate with external stakeholders, including law enforcement, to disrupt and attribute high-impact threat actors.
- Coach and mentor individual contributors, support career development, and maintain high technical standards.
- Recruit, grow, and manage the Abuse Research Group, which includes threat intelligence analysts, fraud researchers, and detection engineers.
- Serve as a technical advisor on complex investigations and own relationships with key internal partners.
Requirements
- 10+ years of experience leading security engineering or research teams, with a track record of managing technical individual contributors performing investigative, intelligence, or detection work.
- Bachelor's or master's degree in Computer Science or a related field, or equivalent experience in security.
- Experience recruiting, growing, and leading technical teams, including performance management.
- Excellent written and verbal communication skills, including the ability to develop and deliver operational or incident-related information to leadership.
- Familiarity with fraud and abuse patterns specific to payments and fintech.
- Hands-on experience with threat intelligence tradecraft, including OSINT, dark web collection, actor attribution, and structured intelligence frameworks such as ATT&CK and STIX/TAXII, or equivalent frameworks.
- Strong understanding of threat actor tactics, techniques, and procedures (TTPs).
Preferred Qualifications
- Background in security research, threat intelligence, or fraud detection engineering, including experience studying adversary behavior, building detection systems, or operating intelligence programs.
- Experience in payments, fintech, or financial crime.
- Technical fluency across threat intelligence, fraud signal development, detection engineering, and OSINT.
- Experience managing or growing technical research teams in investigative and ambiguous domains that do not map cleanly to sprint velocity.
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