Senior Data Scientist, Risk (Risk Strategy)
OKX is a leading global cryptocurrency exchange offering a wide range of trading services, including spot and derivatives trading, as well as Web3 solutions.
Maintainer signals as of 9/25/2026
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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.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
The Senior Data Scientist, Risk will provide strategic perspective, advanced analytical and modeling capabilities, and technical guidance for fraud investigations. The role involves fraud pattern detection, machine learning, graph analytics, unsupervised learning, stakeholder communication, and collaboration with product and engineering teams.
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
- Strong communication skills
- Ability and willingness to travel as needed
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
- Competitive total compensation package
- Learning and development programs
