Senior Compliance Data Scientist

OKX

Singapore, Singapore
On-site
Aml typology detection
Customer risk rating
Kyc/kyb risk scoring
Building ML systems for compliance at a crypto exchange involves unique data spanning on-chain transactions, fiat flows, KYC records, and behavioral signals, presenting genuinely unsolved problems with high stakes

Job Summary

  • Building ML systems for compliance at a crypto exchange involves unique data spanning on-chain transactions, fiat flows, KYC records, and behavioral signals, presenting genuinely unsolved problems with high stakes.
  • This role sits within a team of data scientists, analytics engineers, and compliance specialists building the analytical and AI infrastructure that powers the compliance function, working across the full ML lifecycle.
  • AI-assisted development is the team's workflow, utilizing LLM-assisted coding, automated analytical pipelines, and AI-powered investigation tooling for daily tasks.

Matching Summary

Building ML systems for compliance at a crypto exchange involves unique data spanning on-chain transactions, fiat flows, KYC records, and behavioral signals, presenting genuinely unsolved problems with high stakes.

Skills & Requirements

Must-have

  • AML typology detection
  • customer risk rating
  • KYC/KYB risk scoring
  • transaction monitoring calibration
  • SAR analytics
  • on-chain and off-chain datasets

Nice-to-have

  • AI-assisted coding
  • LLM tools
  • graph ML
  • anomaly detection

Key Requirements

  • 8+ years in data science
  • compliance, financial crime, or regulatory analytics experience
  • Solid Python and SQL
  • machine learning across supervised, unsupervised, and anomaly detection methods
  • Experience with big data platforms (Spark, Databricks, Hadoop, MaxCompute)
  • Understanding of AML, KYC/KYB, sanctions, or transaction monitoring concepts
  • Hands-on fluency with AI-assisted working practices

Work Rights

Must have current right to work in Singapore

Tailored Resume

Cover Letter