Investigator

Details

About Stripe

Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world's largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Stripe's mission is to increase the GDP of the internet.

About the Team

Abuse Operations is the front-line incident response and remediation function handling active product abuse and fraud impacting Stripe and its merchants. This multidisciplinary group spans Incident Managers, Investigators, Forward Deployed Security Engineers, and Data Scientists. The team neutralizes active attacks, gathers requirements for operational tooling, and leads incidents. Team members work directly with impacted merchants to resolve technical incidents and policy abuse rapidly. The team operates primarily across Eastern, Pacific, and Western European time zones and regularly coordinates with global stakeholders.

Responsibilities

• Investigate, mitigate, and remediate urgent fraud incidents, including account takeovers and card testing, using FT3-mapped detection and signal enrichment to reduce uncertainty and accelerate response.
• Analyze high-risk accounts to identify fraudulent merchants, card testing, account takeovers, and other fraud vectors, classifying them using FT3 (Fraud Taxonomy 3.0) to standardize threat intelligence.
• Lead incident root-cause analyses to identify gaps in current systems and strategies, leveraging the FT3 framework and data-driven models to drive enhancements and process improvements for emerging fraud risks.
• Streamline incident response capabilities by ensuring tooling and processes are clear, accurate, and efficient.
• Work cross-functionally with security, fraud, and data science teams to build agentic solutions for responding to abuse incidents at scale.
• Communicate effectively with legal and policy teams to assess and mitigate risks while demonstrating strong problem-solving under pressure.
• Collaborate with teammates, lead projects, mentor others, and develop and champion quality standards within the team.

Requirements

• At least 3 years of experience conducting incident response in security, product abuse, or trust domains.
• At least 3 years of experience analyzing large data sets to solve problems and/or building models with a behavioral approach to fraud detection.
• B.S. or M.S. in Computer Science or a related field, or equivalent experience.
• Expert knowledge of Python and SQL, with familiarity with other programming languages.
• Experience with log analysis, including first- or third-party applications, system or data access, and event logs; network security; digital forensics; and incident response investigations.
• Ability to communicate results clearly and focus on impact.
• Ability to think creatively and holistically about reducing risk in a complex environment.

Preferred Qualifications

• An adversarial mindset and understanding of the goals, behaviors, and tactics, techniques, and procedures (TTPs) of threat actors.
• Experience with engineering, data processing, and analysis tools such as Databricks and Trino.
• Familiarity with open-source frameworks for big data processing and/or data science, such as PySpark, Pandas, and scikit-learn.
• Experience with tactical threat intelligence and/or hunting for sophisticated threat actors in an enterprise environment.
• Ability to proactively challenge the status quo by leveraging data and taking a user-centric approach to address complex product integrity challenges.