Abuse Research Engineer

🕒 September 9

🇺🇸 United States – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

📚 Research Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 20%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Stripe

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2010

💳 Fintech

🛍️ eCommerce

🤝 B2B

💰 Venture Round on 2021-05

Fintech • eCommerce • B2B

Stripe is a global payments processing platform that enables businesses to accept online and in-person payments. It offers a comprehensive suite of financial services, including payment processing, billing, and revenue management tools, aimed at businesses of all sizes, from startups to enterprises. By providing a developer-friendly API, Stripe allows businesses to streamline their payment operations and embed financial services directly into their applications, facilitating both B2B and B2C transactions.

📋 Description

• Conduct proactive, hypothesis-driven threat hunting across Stripe systems and external data • Analyze adversary behavior and complex fraud vectors • Apply and enrich the FT3 fraud taxonomy across datasets and incidents • Integrate, curate, and automate threat feeds into engineering workflows • Translate research into threat advisories and strategic control recommendations • Collaborate with Fraud Ops, Strategy, Risk, Onboarding, Security, and Fraud Intelligence teams • Use agentic automated testing to simulate adversary tactics, validate controls, and generate regression scenarios • Identify product conditions enabling fraud and systematically eliminate vulnerabilities

🎯 Requirements

• 5+ years of experience conducting threat intelligence, threat hunting, or technical incident response within cyber security, product abuse, or trust domains • 5+ years of experience analyzing large, complex datasets using data analytics tools to identify anomalies, map behavioral trends, and solve complex fraud problems • B.S. or M.S. in Computer Science, Cybersecurity, or a related technical field, or equivalent practical experience • Expert proficiency in Python and SQL, with demonstrated experience using code and scripting to automate workflows, build investigative tools, or query big data pipelines • Hands-on experience in log analysis, digital forensics, and cyber investigation methodologies • Strong communication skills with ability to translate complex technical research into actionable recommendations • Preferred: understanding of financial-fraud threat actors and TTPs, FT3 or MITRE ATT&CK, Databricks, Trino, PySpark, Pandas, Scikit-Learn, TIPs, OSINT, breach intelligence, agentic LLM tools, automated testing, and relevant certifications