[Remote] Fraud Patterns Analyst

Note: The job is a remote job and is open to candidates in USA. Stripe is a financial infrastructure platform for businesses that aims to increase the GDP of the internet. The Fraud Patterns Analyst will be responsible for writing and maintaining fraud rulesets, conducting data analysis to identify and mitigate fraud attacks, and collaborating with various stakeholders to implement fraud strategies and controls.

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

Skills

• 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
• 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

Company Overview

Company H1B Sponsorship