The opportunity
Must have a Bachelor's degree or foreign equivalent in Business Administration, Economics, Statistics, Finance, Engineering, or a related quantitative field plus 4 years of experience as a Risk or Fraud Strategist or a related occupation.
What you'll do
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.
What they're looking for
- Payments-related domains, including regional payment methods, risk: management, fraud prevention, or trust and safety operations;
- Working with quantitative tools including Python, R or Stata;
- Project Management analytical tools including Jira, Asana, and Gantt charts;
- Predictive Analytics;
- Machine Learning;
- A/B Testing; and
- Databricks and Airflow.