Remote Merchant Fraud Strategist

Summary

Join Stripe's Fraud Risk Strategy Team as a Risk Strategist to decrease losses from fraudsters, enable safer payments for users, and help manage payments risks intelligently.

Requirements

• 5+ years of relevant professional experience
• Intermediate SQL skills and experience in applying these skills in business environments
• Curiosity and passion for risk prevention: if something seems off, you want to investigate what’s on and solve root problems
• Strong analytical skills - you are passionate about data analysis and can frame business decisions and tradeoffs effectively through quantitative analysis and visualization
• Decisiveness, yet open to learning: you will make many critical decisions every day impacting large numbers of merchants
• Understanding and empathy for the challenges of setting up a new business - you will thoughtfully balance scaled enforcement decisions with user experience
• Excellent communication skills and knows how to be a team player - you are able to convey complex ideas succinctly and work effectively across teams
• Project management skills - you have demonstrated project management skills and the ability to drive execution on projects that span multiple teams both within and outside of Risk

Responsibilities

• Analyze accounts and transactions to identify and predict risky behavior that could result in losses for Stripe or pose challenges to the broader payments ecosystem
• Scale risk processes to cover an increasingly large and complex landscape of payments risks and effectively design strategies and solutions that might range from ML model features to manual review workflows
• Work with internal partners like Engineering, Product, Data Science and Operations to develop solutions that would mitigate fraud risk across different geographies, payment methods and products
• Work with Stripe users to educate them about and help prevent potential risks to their business
• Challenge the payments industry status quo to help enable innovative businesses to flourish online

Preferred Qualifications

• Expertise with SQL
• Expertise with quantitative tools such as Python, R, or Stata
• Experience with payments (particularly working with regional payment methods), risk, or trust & safety
• Experience working with machine learning and data science teams
• Experience working in fast-paced and rapidly changing start-up environment