Investigator

🔥 23 hours ago

🇺🇸 United States – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 11%

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

• Investigate, mitigate, and remediate urgent fraud incidents, including account takeover and card testing • Analyze high-risk accounts and classify fraud vectors using Fraud Taxonomy 3.0 (FT3) • Lead incident root cause analyses to identify system and strategy gaps • Improve incident response tooling and processes • Collaborate with security, fraud, and data science teams to build agentic solutions at scale • Work with legal and policy teams to assess and mitigate risks • Lead projects, mentor teammates, and champion quality standards

🎯 Requirements

• 3+ years of experience conducting incident response in security, product abuse or trust domains • 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 related field, or equivalent experience • Expert knowledge of Python and SQL, and familiarity with other programming languages • Existing experience with log analysis, 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