Teams at OKX

Build and deploy machine learning models for fraud and risk detection at a global crypto exchange. Develop AI agents for investigations, case summarization, evidence retrieval, and workflow automation. Improve features, data quality, model performance, and customer outcomes while monitoring real-time systems. Collaborate with engineering, product, risk, and operations teams, using AI coding tools and contributing to scalable, production-ready AI practices.

Conduct AML investigations into transaction monitoring alerts, analyze account activity, perform enhanced due diligence, research adverse information, recommend escalation decisions, and prepare SAR materials and narratives. Maintain investigation records and support compliance projects, including alert-quality assurance, transaction-monitoring validation, system updates, and training. The role requires strong analytical, writing, communication, organization, and cross-functional collaboration skills, with experience in financial services, fintech, or cryptocurrency.

Design, develop, troubleshoot, and optimize high-performance, low-latency distributed systems supporting OKX’s matching engine. Responsibilities include system design, low-level debugging, performance tuning, code reviews, testing, reliability improvements, and collaboration on AI-driven optimization. The role requires strong Java or C++ expertise, concurrency and memory-management knowledge, systems fundamentals, and experience with scalable, high-throughput platforms.