Director, Compliance Data Science & AI

OKX will be prioritising applicants who have a current right to work in Singapore, and do not require OKX's sponsorship of a visa. 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 Few compliance analytics roles offer this combination: genuinely novel problems, global scale, and the freedom to build rather than maintain. At a global crypto exchange, the financial crime data landscape is more varied, more real-time, and more analytically rich than almost anywhere in traditional finance. The regulatory environment is evolving quickly, the typologies are new territory, and the analytical work has direct impact on how the organisation detects and responds to financial crime. This role sits within the Product organisation and is dedicated entirely to that space, covering AML, sanctions, KYC/KYB, transaction monitoring, and beyond. You will join a collaborative team of data scientists, data engineers, and business analysts, working closely with compliance stakeholders across the full range of financial crime domains. The role sits at the point where product engineering culture meets compliance depth, and you will have room to contribute across both. It is a role well suited to someone who enjoys varied, substantive work and values being part of a team that takes the quality of its output seriously. The team is actively building toward an AI-native way of working. LLM-assisted coding, automated analytical pipelines, and AI-augmented investigation tools are already part of how the team operates or in active development. For someone who has wanted to apply AI seriously in a compliance context without cutting corners on rigour or auditability, this is an environment where that work is already underway and genuinely valued. What You’ll Be Doing Lead delivery of advanced analytics and AI initiatives across core compliance domains including AML detection, sanctions screening, KYC/KYB risk modelling, customer risk rating, transaction monitoring calibration, and SAR analytics, with involvement from problem definition through to production. Work as the primary point of contact between the Product engineering team and compliance stakeholders, translating regulatory requirements into scoped analytical workstreams and bringing analytical findings back to compliance teams in a form that is clear, actionable, and well grounded in the underlying data. Drive the adoption of AI-assisted workflows across the team's compliance analytics work: LLM-assisted coding, automated analytical pipelines, AI-augmented investigation and triage. You will help demonstrate what AI-native working looks like in a compliance context and support the broader team in building confidence with these approaches. Work hands-on with ML engineers on detection models and risk scoring systems that are production-grade and auditable. Compliance analytics requires both explainability and reliability, and experience balancing those two requirements in practice will be important here. Provide technical guidance and mentorship to data scientists and analytics engineers through code and methodology reviews, collaborative problem solving on complex c ... (truncated, view full listing at source)