Fraud Strategist

Stripe

. Build strategies to mitigate buyer, seller, and account fraud on new and existing Stripe products .

Posted 11/11/2026full-timeRemote • United StatesMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in risk management strategies, data-driven analysis, and cross-functional collaboration to enhance product safety and mitigate fraud risks. Proficient in SQL and AI tools for process automation, with a strong focus on user experience and scalable solutions.

Highest-signal resume keywords

Risk ManagementAdvanced SQL SkillsData-Driven AnalysisCross-Functional CollaborationProcess Automation

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Risk Mitigation StrategiesQuantitative AnalysisFraud Risk EvaluationData VisualizationSQL

Soft Skills

CuriosityDecisivenessEmpathyAnalytical ThinkingCommunication

Tools & Technologies

AI ToolsAutomation Tools

Industry Keywords

Financial ServicesPaymentsFinTechFraud Risk Management

Tech Stack

Tools & technologies

SQL

About the role

Key responsibilities & impact

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

What you’ll need

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