Payments Risk Analytics Specialist - Remote

Overview

As a Specialist on the Payments Risk Analytics team, you’ll be fully responsible for identifying and mitigating payments fraud risk on our critical payment rails without negatively impacting core metrics and the broader customer experience.

In Short

• Identify, investigate and mitigate fraudulent activity in deposits, cards, ApplePay and GooglePay payments
• Implement logic targeting bad actors and high-risk behavior associated with unauthorized activity across multiple regions
• Review and respond to alerts regarding anomalous customer and transaction behavior
• Measure fraud performance across payment methods, develop core metrics, and create dashboards to track and understand them
• Proactively identify and close gaps in our monitoring
• Own risk controls from end-to-end and scale processes to provide appropriate coverage as we expand our business
• Own reporting processes and communication with relevant banking partners
• Work with internal stakeholders in Product, Growth, Data Science and Engineering to develop and drive forward custom risk management strategies and techniques for different geographies
• Use data to assess risk and make decisions impacting large segments of our customer population; effectively measure and assess associated tradeoffs using quantitative analysis
• Synthesize data learnings into compelling stories and communicate them to Payments Risk leadership

Requirements

• 4+ years relevant experience
• 2+ years fighting push payment fraud in an e-commerce or financial services environment
• 2+ years of experience in data analysis, working with databases, and querying (e.g., SQL, MySQL, etc).
• BA / BS degree or equivalent practical experience
• Strong knowledge of payment processes, and fraud investigations
• A passion for fighting fraud and abuse, and the curiosity to self-drive investigations, identify patterns, and find the root cause
• Experience in data analyses using SQL
• Experience with data visualization and storytelling using Looker, Tableau, SuperSet or other business intelligence platforms
• Be able to independently create plans for analytics projects and build collaboration within the team
• Demonstrate our core cultural values: clear communication, positive energy, continuous learning, and efficient execution

Benefits

• Understanding of statistical concepts and experience in applying them
• Experience working with quantitative tools such as Python or R
• Experience working with machine learning models
• An understanding of blockchain analytics and/or fraud trends within the cryptocurrency ecosystem