Credit Risk, Fraud Strategist

South San Francisco · US-PERM · USD 121,600-182,400 · Posted Oct 9, 2026

At a glance

Stripe, LLC. is a financial infrastructure platform for businesses. Millions of companies - from the world’s largest enterprises to the most ambitious startups - use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career.

Stripe is seeking a Credit Risk, Fraud Strategist to analyze accounts and transactions to identify and predict risky behavior that could result in losses or ecosystem challenges.
The role involves scaling risk processes and designing strategies ranging from ML model features to manual review workflows.

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.

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.
Must have 3 years of experience in payments-related domains, including regional payment methods, risk management, fraud prevention, or trust and safety operations.
Must have 3 years of experience working with quantitative tools including Python, R or Stata.
Must have 3 years of experience using SQL.
Must have 3 years of experience in Project Management analytical tools including Jira, Asana, and Gantt charts.
Must have 3 years of experience in Predictive Analytics.
Must have 3 years of experience in Machine Learning.
Must have 3 years of experience in A/B Testing.
Must have 3 years of experience in Databricks and Airflow.