Senior Data Scientist

About this role

Circle (NYSE: CRCL) is one of the world’s leading internet financial platform companies, building the foundation of a more open, global economy through digital assets, payment applications, and programmable blockchain infrastructure. Circle’s platform includes the world’s largest regulated stablecoin network anchored by USDC, Circle Payments Network for global money movement, and Arc, an enterprise-grade blockchain designed to become the Economic OS for the internet. Enterprises, financial institutions, and developers use Circle to power trusted, internet-scale financial innovation. Learn more at circle.com.


What You’ll Be Part Of
Circle is committed to visibility and stability in everything we do. As we grow as an organization, we're expanding into some of the world's strongest jurisdictions. Speed and efficiency are motivators for our success and our employees live by our company values: High Integrity, Future Forward, Multistakeholder, Mindful, and Driven by Excellence. We have built a flexible work environment where new ideas are encouraged and everyone is a stakeholder.


About The Role
As Circle expands the customers and payment methods it serves, our fraud exposure grows and changes. We rely on conservative limits and third-party models today, and we are building our own.


As a Senior Data Scientist on Fraud Analytics, you will own the prediction side of our fraud loop. You will turn labels into features and models, measure their accuracy, and shift Circle from vendor scores to in-house models. You will work with Fraud Strategy, Fraud Operations, Risk Engineering, and Compliance.


What You’ll Do

• Build and evaluate fraud models for onboarding, login, account changes, and money movement. Target risks include account takeover, scams, money mules, and stolen and synthetic identity.
• Evaluate third-party risk signals and design the path from vendor models to Circle models, from shadow mode to production.
• Define the label taxon...