OKX is seeking a Senior Data Scientist, Risk to identify complex fraud patterns and provide technical guidance for engineering projects. The role requires a strong analytical mindset, deep understanding of machine learning algorithms, and experience in financial services or FinTechs.
Requirements
- Master's degree (or PhD) in Statistics, Mathematics, Operations Research, Computer Science, Economics, Engineering or other quantitative discipline.
- 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
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