# Security Incident Response Manager, Abuse Operations

**Company**: Stripe
**Location**: Seattle, SF, NYC, Chicago, Atlanta, Remote in the US
**Work arrangement**: remote
**Experience**: senior
**Job type**: full-time
**Category**: IT
**Industry**: Finance

**Apply**: https://job-boards.greenhouse.io/stripe/jobs/8172497?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_a2ae41ae-836

## Description

## Job Description

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.

Abuse Operations is the front-line incident response and remediation function handling active product abuse and fraud impacting Stripe and its merchants. This multi-disciplinary group neutralizes active attacks, gathers requirements for operational tooling, and leads incidents.

In this role, you will play a critical part in safeguarding our financial ecosystem by investigating high-risk accounts, identifying complex fraud patterns, performing post-incident analyses, and driving cross-functional improvements to scale fraud detection.

## Responsibilities

- Lead fraud and abuse incident response end-to-end as Incident Response Manager (IRM), coordinating workstreams, investigating high risk activity and accounts, and making actionable mitigation recommendations under pressure.

- Investigate, mitigate, and remediate urgent fraud incidents (e.g., ATO, card testing), utilizing FT3-mapped (Fraud Taxonomy 3.0) detection and signals 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 to standardize threat intelligence.

- Develop, document, and execute incident response strategies, runbooks, and capabilities to continuously improve fraud and abuse detection and prevention.

- Partner cross-functionally with security, data science, legal, and policy teams to build agentic response solutions, refine KPIs, and deliver clear incident reporting.

- Mentor teammates, lead key incident response engineering projects, and elevate quality standards across the team.

## Requirements

- 10+ years of experience leading security or fraud incident response;

- B.S./M.S. in Computer Science 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

- Proven ability to build automated response workflows, leverage threat intelligence, and make risk mitigation recommendations.

- Strong written and verbal communication skills with a track record of driving cross-functional alignment with minimal oversight.

## Preferred Qualifications

- Broad expertise across fraud and abuse mitigation, risk management, product trust, and threat intelligence in a complex platform 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.

## Skills

### Required
- Python
- SQL
- log analysis
- network security
- digital forensics
- incident response

### Nice to have
- Databricks
- Trino
- PySpark
- Pandas
- Sci-kit Learn
- tactical threat intelligence

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Source: [Apply at job-boards.greenhouse.io](https://job-boards.greenhouse.io/stripe/jobs/8172497?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)
