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Stripe Fraud Patterns Analyst Recruitment 2026: Apply Online
Fraud Patterns Analyst
Job Overview
Stripe is seeking an experienced and highly analytical Fraud Patterns Analyst to join its industry-leading global Risk Operations team. As a financial infrastructure platform that powers millions of businesses worldwide—from ambitious startups to global enterprises—Stripe is dedicated to increasing the GDP of the internet. However, securing the trust and safety of online commerce is a monumental challenge. Bad actors constantly attempt to disrupt the digital economy through sophisticated fraud schemes. This role is at the forefront of defending Stripe, its users, and financial partners from these evolving threats.
About the Role and Team
The Risk Operations team is responsible for identifying, analyzing, and mitigating transaction-level fraud. As a Fraud Patterns Analyst, you will leverage advanced data analysis techniques to detect emerging fraud trends and proactively deploy countermeasures. You will write, maintain, and optimize complex fraud rulesets, balancing the critical need to minimize fraud losses with the goal of ensuring a seamless experience for legitimate users. This is a highly collaborative role that interfaces with product managers, engineers, data scientists, and operational stakeholders to build robust, automated risk controls.
Key Responsibilities
- Design, build, and maintain transaction-level fraud rulesets, continuously monitoring precision and recall metrics to optimize performance.
- Perform advanced data analysis on structured and unstructured datasets to identify anomalous behaviors, clusters, and emerging fraud typologies.
- Investigate complex, distributed fraud attacks, conducting thorough root-cause analysis to deploy effective remediations.
- Respond rapidly to active fraud incidents, minimizing financial and reputational exposure for Stripe and its ecosystem.
- Develop data visualizations, dashboards, and automated queries to provide senior leadership and cross-functional partners with clear visibility into fraud trends and control performance.
- Collaborate with modeling and data science teams to transition manual detection mechanisms into automated, machine-learning-driven controls.
Required Qualifications and Skills
- A minimum of five years of professional experience in advanced data analysis, specifically focused on transaction fraud mitigation.
- Advanced-level proficiency in SQL is required to query and analyze large-scale transactional databases.
- Proven track record of managing complex fraud rulesets and demonstrating measurable success in reducing fraud losses.
- Strong problem-solving abilities with a user-first mindset, ensuring security measures do not unnecessarily disrupt legitimate business operations.
- Excellent communication skills, with the ability to present complex technical findings to both technical and non-technical audiences.
Preferred Qualifications
- Prior experience in fintech, payments, e-commerce, or cryptocurrency environments.
- Familiarity with mitigating specific attack vectors such as card testing, account takeover (ATO), and card-not-present (CNP) fraud.
- Proficiency in data visualization and analysis tools like Splunk, Python, Tableau, or R.
- An undergraduate or advanced degree in a quantitative field such as Analytics, Data Science, Statistics, or Mathematics.
Working Environment and Culture at Stripe
Stripe is a remote-friendly and highly collaborative company. Whether you choose to work from one of our state-of-the-art offices in Atlanta or Chicago, or work fully remotely within the United States, you will be part of a global team that values transparency, intellectual curiosity, and rigorous thinking. We believe in questioning the status quo and approaching complex challenges with a solutions-oriented, pragmatic mindset. At Stripe, you will have the opportunity to work on highly impactful projects that directly protect the financial integrity of millions of businesses worldwide, ensuring that the global online economy remains safe and accessible to everyone.
Key Job Details
| Company Name | Stripe |
| Job Role | Fraud Patterns Analyst |
| Experience | Minimum 5 years of experience conducting advanced data analysis and managing transaction fraud rulesets. |
| Salary Range | $114,600 – $171,800 |
| Job Type | Full time |
| Work Mode | Hybrid / Remote (Office locations in Chicago, Atlanta, or Remote in US) |
| Openings | Not Mentioned |
| Job Location | Chicago, Atlanta, or Remote (United States) |
Key Responsibilities
- Build and maintain fraud rulesets to prevent transaction-level fraud losses, including ongoing monitoring and measurements of precision and recall.
- Conduct advanced data analysis of structured and unstructured data sets to proactively identify emerging fraud attacks impacting Stripe and its users.
- Collaborate closely with product, risk, and operations teams to proactively identify and mitigate fraud exposure.
- Investigate, conduct root cause analysis, and deploy remediations to prevent future complex and distributed fraud attacks.
- Investigate and take action against anomalous clusters of transactions based on account activity, processing volume, or other risk indicators.
- Respond to incidents involving complex fraud schemes to quickly mitigate exposure to Stripe, its users, and financial partners.
- Utilize analytics to identify and implement initiatives to automate manual processes and workload across the organization.
- Create visualizations, dashboards, and queries to drive visibility and oversight into impact, performance, loss risks, and user experience.
Requirements & Qualifications
- A minimum of five years of experience conducting advanced data analysis and managing transaction fraud rulesets.
- Advanced-level proficiency in SQL.
- Experience working closely with modeling, data science, and intelligence stakeholders to implement automatic and scaled controls and processes.
- Experience creating data visualizations and dashboards and presenting findings to technical and non-technical audiences.
- The ability to drive execution on projects working in a heavily cross-functional environment.
- Creativity, a team-focused mentality, and effective problem-solving skills.
- The ability and desire to question the status quo.
Required Skills
- Advanced SQL Querying & Data Analysis
- Fraud Ruleset Management (Precision & Recall Optimization)
- Data Visualization (Tableau, Splunk, Python, or similar)
- Root Cause Analysis & Incident Response
- Cross-functional Collaboration & Project Execution
- Risk Mitigation (Card Testing, Account Takeover, CNP Fraud)
- Statistical Analysis & Clustering
About Stripe
Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Stripe’s mission is to increase the GDP of the internet.
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