At OKX, the business problem is to identify complex fraud patterns and their technical root causes, and to develop machine learning models to detect and mitigate fraud in crypto trading and decentralized crypto applications.
Requirements
- Deep understanding of modern machine learning techniques / algorithms including GBM, XGBoost, LGBM, etc.
- Advanced programming skills of statistical / analytical software (SQL, R, Python,etc());
- Crypto/Blockchain experience
- Hands-on experience/knowledge of modeling in machine learning (GBM, XGBoost, Random Forest, etc.);
- Strong analytical mindset, deep understanding of most popular machine learning algorithms
- Ability to quickly define the problem, research and leverage state-of-the-art modeling techniques, and provide timely recommendations
- Experience with API integrations or internal data transformations
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
Other
- 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
- Ability and willingness to travel as needed.
- Strong communicator in both writing and speaking
- Multi-tasking and strong project management skills
