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Overview
Principal

Principal Data Scientist, Risk

Confirmed live in the last 24 hours

OKX

OKX

Compensation

$250,444 - $375,666/year

San Jose, California, United States
Hybrid
Posted February 26, 2026

Job Description

Who We Are

At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom.

OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves.

Across our multiple offices globally, we are united by our core principles: We Before Me, Do the Right Thing, and Get Things Done. These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er.

About the Team:

The Risk function at OKX is responsible for the overall risk and fraud prevention culture at the company. We’re a team of risk-minded problem solvers who advise the business on the company’s regulatory obligations and enterprise risk. We’re also deeply committed to moving the needle on risk standards for the crypto industry, building products in a compliant way, and protecting the company from financial, regulatory and reputational risks. Our team consists of seasoned risk professionals who are based across our global offices.

 
About the Opportunity:
 
This is a highly-impactful role at one of the fastest-growing global cryptocurrency exchanges headquartered in San Francisco, CA. The Sr Data Scientist, Risk will offer a strategic perspective, deep analytical and modeling capabilities, and a collaborative working style. The right candidate will have strong intellectual curiosity and passion for achieving business results.
An ability to quickly define the problem, research and leverage state-of-the-art modeling techniques, and provide timely recommendations will be essential. Key skills will include a strong analytical mindset, deep understanding of most popular machine learning algorithms and lead key initiatives with integrity and a passion for investigations, problem solving, and troubleshooting.
 
What You’ll Be Doing:
  • Identify complex fraud patterns and their technical root causes through detailed data mining and analysis, including identification of sophisticated fraud methods employed by actors who are deliberately trying to avoid detection.
  • Collaborate across business and technology stakeholders to communicate analytical findings to both technical and non-
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