Stripe is hiring a Fraud Patterns Analyst in 4896 Fraud Operations — US-Remote. The overview below is synthesized from the employer posting on stripe.com: factual requirements and scope are preserved, but prose is rewritten with editorial context. Verify details and apply via the employer link.
Who we are
About Stripe
Company context from the listing:
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.
About the team
Company context from the listing:
The Risk Operations team is looking for an experienced fraud analyst to join an industry-leading global fraud operations team. This position is responsible for writing and maintaining fraud rulesets to prevent transaction fraud, conducting data analysis to identify and mitigate fraud attacks, while minimizing impact to users, and working collaboratively with fraud, operations, and product stakeholders to proactively implement fraud strategies and controls.
What you'll do
Day-to-day scope for the Fraud Patterns Analyst as described in the posting:
Did you know that only around 4% of the world's GDP comes from internet commerce? At Stripe, we believe that this represents a future with almost limitless potential for innovation, creativity, and global prosperity.
The listing frames the Fraud Patterns Analyst at Stripe as a hands-on product role. This position works closely with cross-functional stakeholders across product, engineering, data science, and operations to identify and mitigate risk from complex, distributed transaction fraud attacks.
The right candidate for this role will have a minimum of five years' experience conducting advanced data analysis using SQL, preferably within the fraud space across e-commerce, payments, or cryptocurrency. Candidates should have experience writing, maintaining, and analyzing complex fraud rulesets and demonstrated success minimizing fraud losses along with impacts to users.
Responsibilities
Day-to-day scope for the Fraud Patterns Analyst as described in the posting:
- 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 while minimizing negative impacts to Stripe users
- 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
- Utilize Stripe tools and systems to enable systematic actioning of fraudulent merchants, maintaining an extremely high level of accuracy to prevent negative user experience
Who you are
Experience and skills the team lists as required:
The listing frames the Fraud Patterns Analyst at Stripe as a hands-on product role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement.
Minimum requirements
Experience and skills the team lists as required:
- 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, including senior leadership
- 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
- The ability to approach challenges from a user perspective while being pragmatic and solutions-oriented
Preferred qualifications
Experience and skills the team lists as required:
- Fraud experience in payments, e-commerce, fintechs, or cryptocurrency mitigating digital and card-not-present fraud
- Experience investigating and mitigating card testing and account takeover attacks
- Proficiency in Splunk, Python, Tableau, or other data visualization tools
- Undergraduate or advanced degree in analytics, data science, or statistics
- Experience with clustering, classification, and link analysis
- Experience working in fast-paced and rapidly changing environments
- Experience designing and implementing product-level fraud and risk controls