Fraud Patterns Analyst

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 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

Requirements

• 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

Qualifications

• 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
• 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