Abuse Investigator

stripe· 31 open roles

Location TBD On-siteFull-time1 weeks ago

Salary

Undisclosed

Experience

Mid

Job Type

Full-time

Posted

1 weeks ago

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About This RoleAI processing…

Who we are 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. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career. About the team Abuse Operations is the front-line incident response and reme

Key Responsibilities

1
Investigate, mitigate, and remediate urgent fraud incidents (e.g., ATO, card testing), utilizing FT3-mapped detection and signals enrichment to reduce uncertainty and accelerate response.
2
As part of incidents, 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.
3
Lead incident root cause analyses to identify gaps in current systems and strategies, leveraging the FT3 framework, data-driven model to drive enhancements and process improvements for emerging fraud risks.
4
Streamline incident response capabilities, ensuring the tooling and processes are clear, accurate and efficient
5
Work cross-functionally with security, fraud and data science teams to build agentic solutions for responding to abuse incidents at scale
6
Effectively communicate cross-functionally with legal and policy teams to assess and mitigate risks, while demonstrating strong problem-solving under pressure.
7
Collaborate effectively with teammates, leading projects, mentoring others, and developing and championing quality standards within the team

Requirements

10+ years of experience conducting incident response in security, product abuse or trust domains
10+ years experience analyzing large data sets to solve problems and/or building models with a behavioral approach to fraud detection
B.S. or M.S. Computer Science or related field, or equivalent experience
Expert knowledge of Python and SQL, and familiarity with other programming languages
Existing experience with log analysis (e.g. first or third party applications, system / data access, 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
An adversarial mindset, understanding the goals, behaviors, and TTPs of threat actors.
Experience with engineering, data processing and analysis tools (e.g. Databricks, Trino, etc.)
Familiarity with common open-source frameworks for big data processing and/or data science (PySpark, Pandas, Sci-kit Learn, etc.)
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