OKX · 14 hours ago
Principal Data Scientist, Risk
San Jose, California, United States
Full-time
Onsite
Senior Level, Lead/Staff
$136K/yr - $239K/yr
4+ years expOKX is a leading global cryptocurrency exchange that is committed to revolutionizing world systems through blockchain technology. The Principal Data Scientist, Risk will be responsible for identifying complex fraud patterns, collaborating with stakeholders, and developing machine learning models to enhance risk management practices within the company.
AppsBitcoinBlockchainCryptocurrencyFinanceFinancial ServicesFinTechInformation TechnologyInternetWeb3
Responsibilities
Identify complex fraud patterns and their technical root causes through detailed data mining and analysis, including identification of sophisticated fraud methods employed by actors who are deliberately trying to avoid detection
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
Qualification
Required
Master's degree (or PhD) 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.)
Successful track record of owning and driving large, complex data analysis projects
Demonstrated capacity for innovation and outside-the-box thinking in the creation of new capabilities and processes that are unstructured or exploratory in nature
Experience in a fast-paced startup environment with a strong level of initiative
Ability and willingness to travel as needed
Strong communicator in both writing and speaking
Multi-tasking and strong project management skills
Preferred
Hands-on experience/knowledge of modeling in machine learning (GBM, XGBoost, Random Forest, etc.)
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
Company
OKX
OKX is the second largest global crypto exchange by trading volume and a leading Web3 ecosystem.
1001-5000 employees
Funding
Current Stage
Late StageTotal Funding
$10MKey Investors
Giant NetworkCeyuan Ventures
2017-12-15Series B
2014-03-16Series A· $10M
Leadership Team
Gracie Lin
Singapore CEO
Hong Fang
President
Recent News
2026-01-22
2026-01-22
Crowdfund Insider
2026-01-22
Company data provided by crunchbase