Fraud Prevention Analyst II

Payments Risk Analytics takes a data-driven approach to manage fraud at scale. As a Payments Risk Analyst with the Card, Mobile, and PayPal Analytics team, you will be tasked with performing both routine and intensive analyses to assess risk, monitor performance, and mitigate card and digital wallet payment fraud globally. You will work closely with other analysts, product managers, engineers, and data scientists to deliver a best-in-class, risk-adjusted payment experience.

Job Title: Fraud Prevention Analyst II

What you’ll be doing (ie. job duties): 

• Monitor and report on core chargeback, fraud, and abuse metrics
• Perform routine audits of monitoring to ensure consistent data quality and coverage
• Conduct deep analyses of fraud events and provide actionable recommendations for remediation
• Develop online and offline rules to target transient fraud rings
• Leverage data to identify product gaps and opportunities for proactive fraud management
• Independently assess, prioritize, and deliver on projects that impact core business workstreams
• Work with internal and external stakeholders to drive initiatives and facilitate growth
• Collaborate with the rest of the Card, Mobile, and PayPal Analytics team to deliver an end-to-end card and digital wallet fraud strategy

What we look for in you (ie. job requirements): 

• 4+ years fraud prevention experience on an analytics team
• 2+ years fighting fraud in an e-commerce or financial services environment
• 2+ years of experience in data analysis, working with complex databases, and querying (e.g., SQL, MySQL, etc)
• Experience using business intelligence tools (e.g., Looker, Tableau, Superset) to create meaningful visualizations, tell effective stories, and drive change
• Demonstrated passion for fraud investigations
• Functional knowledge of common fraud patterns
• Endless curiosity to seek out anomalies and get to the core of a problem
• A broad understanding of card payments, chargeback lifecycles, Visa operating rules, and card fraud vectors
• Experience with PayPal disputes and Purchase Protection
• The ability to prioritize and make quick decisions under tight deadlines

Nice to haves:

• Experience with statistical modeling, machine learning, A/B testing, causal inference, etc.
• Experience in at least one programming language (preferably Python).
• An understanding of blockchain analytics and/or fraud trends within the cryptocurrency ecosystem.
• 1+ years experience in risk analytics in a rapid-growth environment.

Job #: P62757