
Abuse Research Engineer
Posted Sep 9

Posted Sep 9
This is a fully remote position, open to applicants in United States.
β’ Execute proactive threat hunting and analyze adversary behavior across Stripe products.
β’ Develop hypotheses and engage in iterative threat hunting utilizing both internal telemetry and external data.
β’ Apply and enhance the FT3 taxonomy across various datasets and incidents.
β’ Integrate, curate, and automate threat feeds within engineering workflows.
β’ Translate research outcomes into threat advisories and strategic control recommendations for stakeholders in Fraud, Risk, Onboarding, and Security.
β’ Utilize agentic automated testing frameworks to simulate adversary TTPs, validate controls, and create regression scenarios.
β’ Collaborate across functions with Fraud Ops, Strategy, Risk, Onboarding, and Security teams.
β’ Identify product conditions that enable fraud and systematically eradicate vulnerabilities.
β’ A minimum of 5 years of experience in threat intelligence, threat hunting, or technical incident response within cybersecurity, product abuse, or trust domains.
β’ At least 5 years of experience in analyzing large, complex datasets using data analytics tools to detect anomalies, map behavioral trends, and address intricate fraud issues.
β’ B.S. or M.S. in Computer Science, Cybersecurity, or a related technical field, or equivalent practical experience.
β’ Mastery of Python and SQL, with proven experience in coding and scripting to automate workflows, create investigative tools, or query extensive data pipelines.
β’ Practical experience in log analysis, digital forensics, and cyber investigative methodologies.
β’ Excellent communication skills with the ability to convert complex technical research into actionable recommendations and advisories.
β’ Preferred: Knowledge of financial fraud threat actor motivations, infrastructure, and TTPs.
β’ Preferred: Familiarity with FT3 or MITRE ATT&CK frameworks.
β’ Preferred: Experience with Databricks, Trino, PySpark, Pandas, or Scikit-Learn.
β’ Preferred: Knowledge of Threat Intelligence Platforms, tactical threat feeds, OSINT, and breach intelligence.
β’ Preferred: Experience with agentic LLM tools, automated testing systems, or control validation frameworks.
β’ Competitive salary and performance-based incentives.
β’ Comprehensive health, dental, and vision insurance.
β’ Generous paid time off and flexible working hours.
β’ Opportunities for professional development and career advancement.
β’ Collaborative and inclusive company culture.
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