About the company
About OKX OKX is a leading crypto trading app, and a Web3 ecosystem. Trusted by more than 20 million global customers in over 180 international markets, OKX is known for being the fastest and most reliable crypto trading app of choice for investors and professional traders globally. Our Singapore office is a Product and Engineering hub and we are in the progress of expanding our teams in Singapore for the continuous growth of our global business. We build and maintain core trading platform with millions of daily active users. Design, Product and Engineering teams work cross-functionally to identify customer needs, and ship high-quality new features through fast iterations.
Job Summary
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
What We Look For In You
📍7+ years of hands-on experience in data science, machine learning, or advanced analytics, ideally in the FCC, AML, KYC, or fraud detection domain 📍Proven experience building and validating data models using programming languages such as Python, SQL, Java, R, or similar 📍Strong skills in data engineering, large-scale data pipelines, ETL/ELT processes, and streaming analytics (Spark, Kafka, Snowflake, or equivalent) 📍Familiarity with blockchain analytics tools (e.g., Chainalysis, TRM Labs, Elliptic) and understanding of on-chain transaction monitoring is highly desirable 📍Experience with building, tuning, and monitoring rule-based and ML models for financial crime detection, risk scoring, or sanctions screening
The future of finance is here — whether you’re interested in blockchain, cryptocurrency, or remote web3 jobs, there’s a perfect role waiting for you.
