Sr Data Scientist, Compliance

Confirmed live in the last 24 hours

OKX

San Jose, California, United States

Hybrid

Posted March 29, 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. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more.

About the Opportunity

This is a role for someone who finds financial crime problems genuinely interesting. At a global crypto exchange, the compliance data landscape is more varied and more analytically demanding than in most financial institutions: on-chain transaction data, cross-jurisdictional exposure, emerging typologies, and a regulatory environment that is still being shaped. The analytical work here is not about maintaining existing models or running standard reports; it is about building the detection capability and analytical intelligence that the compliance function depends on.
You will join a team of data scientists, ML engineers, and analytics engineers working closely with compliance specialists across AML, sanctions, KYC/KYB, and transaction monitoring. The role offers a good balance between deep technical work and meaningful engagement with the domain experts who understand what the outputs need to achieve. It suits someone who is comfortable moving between a complex modelling problem and a conversation with a compliance analyst about what a result actually means.
AI-assisted analysis is already part of how this team works. We use LLM tooling to accelerate coding and investigation workflows, automated pipelines to replace repetitive analytical tasks, and AI-augmented approaches to surface patterns faster. We are looking for data scientists who already work this way and who can bring that fluency to hard compliance problems, helping the team do better work rather than learning the basics on the job.