San Jose, California, United States•San Jose, United States (US)
Remote
Director
Full Time
28 days ago
💰$313,055 - $375,666
cryptocompliancedata scienceAImachine learningleadership
Requirements
- •10+ years in data science, quantitative analytics, or ML, with meaningful time in a leadership or senior individual contributor capacity in a compliance or regulatory analytics environment within financial services, fintech, or a crypto exchange.
- •Solid compliance domain knowledge, with hands-on experience across one or more of AML typology detection, sanctions analytics, KYC/KYB modelling, customer risk rating, or transaction monitoring.
- •Strong Python and SQL, applied ML across supervised, unsupervised, anomaly detection, and graph-based methods, and enough MLOps and data engineering fluency to engage credibly in production design conversations with engineers.
- •A working AI-first mindset: you use AI tools regularly in your own work, have a view on where LLMs and automation genuinely improve compliance analytics workflows, and understand where they introduce risk.
- •Good cross-functional communication skills, with the ability to engage clearly with compliance officers, product managers, and engineers who each bring different priorities to the same conversation.
- •Experience mentoring data scientists and analysts, with a genuine interest in helping colleagues develop and in raising the overall quality of the work around you.
- •Familiarity with model governance, explainability requirements, and the documentation standards associated with analytics work in a regulated environment.
- •Some exposure to working within or alongside a Product organisation, with an understanding of how delivery cycles, engineering prioritisation, and roadmaps are managed in practice.
What You'll Do
- •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.
- •Work hands-on with ML engineers on detection models and risk scoring systems that are production-grade and auditable.
- •Provide technical guidance and mentorship to data scientists and analytics engineers through code and methodology reviews, collaborative problem solving on complex compliance workstreams, and a consistent focus on raising the quality of the work across the team.
- •Partner with product managers on scoping, sequencing, and effort estimation for compliance analytics initiatives, bringing both technical and regulatory context to delivery planning conversations.
- •Maintain documentation and governance standards for compliance analytics output, ensuring that models and analyses are recorded clearly enough to support internal review, regulatory scrutiny, and knowledge continuity within the team.
- •Contribute to regulatory responses and internal audit events by leading the data science workstream: coordinating analytical evidence, supporting the technical narrative, and presenting findings to compliance and legal review functions where required.
Nice to Have
- •Familiarity with the crypto ecosystem, on-chain analytics, blockchain data, or VASP compliance frameworks.
- •Experience with regulatory examinations, enforcement responses, or formal model validation in a compliance context.
Benefits
- •Competitive total compensation package
- •L&D programs and Education subsidy for employees' growth and development
- •Various team building programs and company events
- •Wellness and meal allowances
- •Comprehensive healthcare schemes for employees and dependants
About OKX
OKX is the second largest global crypto exchange by trading volume and a leading Web3 ecosystem.
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