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Senior Data Scientist Risk Risk Strategy

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OKX

OKX is a leading global cryptocurrency exchange offering a wide range of trading services, including spot and derivatives trading, as well as Web3 solutions.

Recently funded0 current maintainers0 active leadsTeam intelligence

Maintainer signals as of 8/14/2026

C/O APPLEBY GLOBAL SERVICES (SEYCHELLES) LIMITED, Suite 202, 2nd Floor, Eden Plaza, Eden Island, PO Box 1352, Mahe, Victoria, Seychelles, Seychelles

Funding history

About OKX

OKX is a global cryptocurrency exchange known for its trading services and financial products. The platform offers a wide range of features, including spot and derivatives trading, staking services, and a user-friendly interface suitable for both beginners and experienced traders.

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Skills

Candidate Availability

Required and preferred rules are kept separate and reflect the wording in the original posting.

About the Role

You will identify complex fraud patterns through data mining and analysis, develop machine learning models, perform graph analytics and unsupervised learning, and provide technical guidance for investigation tools. You will communicate findings to technical and non-technical stakeholders and partner with product and engineering teams to implement analytical features and models.

Requirements

  • Master’s degree or PhD in a quantitative discipline
  • 4+ years of fraud analytics experience
  • Financial services or FinTech experience
  • Crypto or blockchain experience
  • Machine learning algorithms
  • GBM
  • XGBoost
  • LGBM
  • Random Forest
  • SQL
  • R
  • Python
  • Data analysis
  • Project management

Responsibilities

  • Identify complex fraud patterns and technical root causes
  • Perform data mining and analysis
  • Share data mining techniques and maintain technical documentation
  • Communicate analytical findings to technical and non-technical audiences
  • Provide technical guidance for investigation tools
  • Perform link analysis and graph analytics
  • Apply unsupervised learning methods
  • Develop machine learning models
  • Partner with product and engineering teams to implement features and models

Benefits

  • Education subsidy
  • Team building programs
  • Company events
  • Wellness allowances
  • Meal allowances
  • Healthcare schemes for employees and dependants