Senior Data Scientist, Compliance Technology

Senior Data Scientist, Compliance Technology

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

As a Senior Data Scientist in our Compliance Technology & Data Strategy function, you will play a key role in shaping our approach to governance, independent validation, and continuous improvement of our financial crime compliance (FCC) systems and data platforms. You will lead the design, testing, validation, and monitoring of advanced models and data pipelines that support our transaction monitoring (TM), customer risk rating (CRR), and watchlist screening engines across both fiat and crypto ecosystems.

You will work hands‑on with large, complex datasets, building and validating rule‑based and ML‑enhanced models, developing new typology detection logic, and ensuring our systems remain robust and defensible in an evolving regulatory landscape. This is a highly technical, cross‑functional role requiring strong programming, data engineering, and advanced analytics skills, along with an understanding of FCC domain risks.

You’ll partner closely with Compliance, Product, Engineering, and Risk teams to modernize our compliance technology stack, drive improvements in data pipelines and model explainability, and integrate cutting‑edge blockchain intelligence and cross‑chain analytics tools. Your work will directly impact our ability to detect and mitigate financial crime risks, meet regulatory expectations, and deliver trusted insights across our global operations.

What You’ll Be Doing

• Design, test, and independently validate rule‑based and machine learning models for transaction monitoring, customer risk scoring, sanctions and watchlist screening, and typology detection for both fiat and crypto transactions.

• Build and optimize scalable data pipelines integrating blockchain analytics, on‑chain and off‑chain transaction data, and third‑party intelligence tools to enhance risk detection.

• Develop and execute robust testing strategies to assess model fitness, typology coverage, Type I and Type II error rates, and regulatory defensibility.

• Design strategies to automate monitoring frameworks for model performance, data quality, and risk typology drift; implement advanced analytics to detect anomalies and continuously tune models.

• Lead the development and execution of comprehensive metrics and data reporting frameworks, ensuring the accuracy, consistency, and timeliness of key risk indicators, model performance metrics, and regulatory reporting requirements across all FCC models.

• Build reproducible and production‑ready notebooks, scripts, and workflows following best practices in version control, code testing, and documentation.

• Leverage advanced anomaly detection techniques, clustering, and graph analytics to identify emerging financial crime typologies across large multi‑source datasets.

• Conduct deep‑Dive data investigations, develop new detection typologies, and translate FCC risk scenarios into effective, explainable models and analytics.

• Partner with Product and Engineering to drive enhancements to compliance data architecture, including streaming pipelines, data integrations, and advanced analytics capabilities.

• Lead remediation of data quality and model coverage gaps by executing data audits and root cause analysis; maintain thorough documentation and audit trails for regulatory…