OKX is hiring a
Sr Data Scientist, Web3 - United States

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Sr Data Scientist closed

🏢 OKX

💵 $130k-$190k
📍United States

Summary

The job is for a Data Scientist, Risk position at OKX, a fast-growing global cryptocurrency exchange. The role involves identifying complex fraud patterns, collaborating with stakeholders, developing machine learning models, and has requirements such as a Master's degree, 4+ years of fraud analytics experience, crypto/blockchain experience, and advanced programming skills.

Requirements

  • Master’s degree in Statistics, Mathematics, Operations Research, Computer Science, Economics, Engineering or other quantitative discipline. Bachelor’s degree with significant relevant experience will be considered
  • 4+ years of fraud analytics experience in financial services or FinTechs
  • Crypto/Blockchain experience
  • Deep understanding of modern machine learning techniques / algorithms including GBM, XGBoost, LGBM, etc
  • Advanced programming skills of statistical / analytical software (SQL, R, Python,etc.)

Responsibilities

  • Identify complex fraud patterns and their technical root causes through detailed data mining and analysis
  • Serve as technical SME by sharing new data mining techniques, maintaining technical reference documentation, and interfacing with partner technology teams
  • Collaborate across business and technology stakeholders to communicate analytical findings to both technical and non-technical audiences
  • Provide technical guidance for engineering projects that incorporate new data points into the investigation team’s toolkit, such as API integrations or internal data transformations
  • Link Analysis/Graph analytics to find and mitigate deeply-connected fraud networks and detect new accounts being added to these networks
  • Unsupervised learning methods to augment existing supervised models, or detect portfolio anomalies
  • Development of machine learning models
  • Partner with product and engineering team in implementing features and models, and enhancing systems

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
This job is filled or no longer available

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