Sr Data Scientist

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