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Fraud Strategist

🔥 14 hours ago

🏄 California, Illinois, +3 more states – Remote

infoinfo

⏰ Full Time

🟡 Mid-level

🟠 Senior

Where this job comes from

Posted on Stripe's careers page, not through a job board

First seen by Remote Rocketship 14 hours ago

Still open on Stripe's site. Checked 9 minutes ago.

Logo of Stripe

Stripe

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

• Build strategies to mitigate buyer, seller, and account fraud on new and existing Stripe products • Enable safer money movement and help Stripe manage fraud risks intelligently • Monitor portfolios to identify, mitigate, and predict risky behavior that could result in losses • Collaborate with Product, Engineering, Data Science, Risk Partnerships, and Operations across products and payment methods globally • Evaluate products for gaps and propose risk controls that enhance products while enabling growth • Scale risk processes across complex fraud-risk landscapes • Design, outsource, and automate manual or repetitive workflows • Educate Stripe users and guide them on preventing fraud risks • Communicate clearly with Stripe colleagues, users, financial partners, and regulatory partners

🎯 Requirements

• 6+ years of relevant experience, preferably in Financial Services, Payments or FinTech • Curiosity and passion for risk management; ability to investigate anomalies and solve root causes • Decisiveness and openness to learning, with comfort making high-impact calls daily • Data-driven judgment and quantitative analysis skills • Empathy for early-stage businesses and ability to balance enforcement with user experience • Strong analytical skills, including framing complex tradeoffs through data and visualization • Advanced SQL skills with hands-on experience in business environments • Proven ability to collaborate and execute cross-functionally with Engineering, Product, Data Science, and Operations • Excellent written and verbal communication skills • Holistic thinking and ability to build scaled processes that bridge systemic gaps • Track record of deriving actionable insights from complex problem spaces and influencing product direction • Ownership mentality and ability to lead without formal authority • Proficient with AI tools for productivity and process automation

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