Hiring: Fraud Strategist Company: Stripe Location: Chicago, IL Job Posted Time: 2026-09-13 07:40:54 Employment Type: Remote Target Skills & Keywords : Embedded Systems, Machine Learning, Python, R, SQL, Stripe, User Experience About the job Experience: •10+ years of relevant experience, preferably in Financial Services, Payments or FinTech Required Skills: •Monitor portfolio to identify, mitigate and predict risky behavior that could result in losses for Stripe, our users, and the financial ecosystem •Partner cross-functionally with internal partners like Product, Engineering, Data Science, Risk Partnerships, and Operations, to tailor fraud risk management techniques to various products and payment methods across the globe •Continually evaluate products for gaps and propose risk controls to enhance the product while enabling growth •Scale risk processes to cover a large and complex landscape of fraud risks. Effectively design, outsource and automate manual/repetitive workflows •Interface directly with Stripe users to educate them and guide them on how to prevent potential fraud risks to their business •Effectively and clearly communicate with other Stripes, Stripe's users, and Stripe's financial and regulatory partners Qualifications: •We’re looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement. •Curiosity and passion for risk management - you dig into anomalies and solve root causes •Decisiveness and openness to learning, with comfort making high-impact calls daily •Data-driven judgment - skilled at using quantitative analysis to drive and defend decisions •Empathy for early-stage businesses and the ability to balance enforcement with user experience •Strong analytical skills, including the ability to frame 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, with the ability to convey complex ideas clearly across teams •Holistic thinking and the ability to build scaled processes that bridge systemic gaps Compensation: •$161,800 - $242,600 / year Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!