Stripe 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’s mission is to build the economic infrastructure for the internet. To accomplish this ambitious agenda, Stripe needs to enable business, banks, payment infrastructure and customers at scale. Stripe is required by law or contractual agreements (with partners) to prevent misuse of its products in the form of fraud, money laundering, terrorist financing and many financial crimes and illegitimate actions. Building trust with regulators, banks, businesses & customers is a key ingredient for Stripe to be successful and we are building best-in-class ML/AI to help deal with risk mitigation at scale, enable good businesses and develop high partner trust.
The Financial Crimes engineering team is responsible for building the platform, tooling, data architecture and ML models to help Stripe detect and action on compliance risks like Anti Money Laundering, sanctioning, KYC to name a few. Our work impacts Stripe's reputation as a reliable and trustworthy company to manage the worlds financial transactions and protects Stripe from legal action and punitive fines. In short we impact Stripe's bottom line and help build a safer financial backbone for the internet.
Our ambition is to build industry-leading solutions to hard problems like:
Here are some of the problems you will be tackling:
You will have an outsized impact on the direction, design & implementation of the solutions to these problems.
We’re looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement.
New York, South San Francisco HQ, Seattle, or Chicago
Remote in United States