This role pays more than
71%
of similar roles. Most pay
$142,773–$208,800
— the shaded band above.
At the midpoint, this role pays about
$202k
versus about
$176k
for comparable roles.
Based on 239 similar postings.
Employer
About Stripe
Stripe is a financial infrastructure platform for internet businesses, providing payment processing, billing, fraud prevention, and banking-as-a-service APIs to businesses of all sizes globally. Industry: Payments Infrastructure & Financial Technology
Stripe currently has
173 open roles
on FindRole.
Listed pay typically runs
$190,400–$285,600
across 171 roles with salary data.
The Fraud Strategist joins the Fraud Strategy team to build scaled fraud mitigation systems that protect the financial ecosystem while minimizing disruption to good users. In this role, you will develop strategies to mitigate buyer, seller, and account fraud across new and existing products. You will monitor portfolios to identify and predict risky behaviors, evaluate products for gaps, and design automated workflows to manage complex risks. Collaborating with Product, Engineering, Data Science, and Operations teams, you will ensure fraud controls are embedded into every product while staying ahead of emerging trends. The role requires advanced SQL skills, proficiency with AI tools, and the ability to use quantitative analysis to drive decisions. You will solve complex problems related to payment methods and risk management within a global payments environment to protect integrity against sophisticated actors.
Develop strategies to mitigate buyer, seller, and account fraud across new and existing products.
Monitor the portfolio to identify, predict, and mitigate risky behaviors that cause financial losses.
Evaluate products for security gaps and propose risk controls to enhance safety while enabling growth.
Design, outsource, and automate manual or repetitive workflows to scale risk management processes.
Partner with Product, Engineering, and Data Science teams to embed fraud controls into various payment methods.
Educate Stripe users on how to identify and prevent potential fraud risks to their businesses.
Use quantitative analysis and SQL to drive data-driven decisions and communicate complex ideas clearly.
What we're looking for
5+ years of relevant experience, preferably in Financial Services, Payments, or FinTech.
Advanced SQL skills with hands-on experience in business environments.
Data-driven judgment using quantitative analysis to drive and defend decisions.
Strong analytical skills to frame complex tradeoffs through data and visualization.
Proven ability to collaborate cross-functionally with Engineering, Product, Data Science, and Operations.
Excellent written and verbal communication skills to convey complex ideas clearly.
Proficiency with AI tools to accelerate productivity and process automation.
Expertise with quantitative tools like Python or R (preferred); experience with payments, risk, trust & safety, machine learning teams, or startups (preferred).