Senior Data Scientist Risk Risk Strategy
Summary
Build ML models and graph analytics to detect fraud patterns in crypto/fintech transactions, then work with engineering to ship features and explain findings to stakeholders.
You will identify complex fraud patterns through data mining and analysis, develop machine learning models, perform graph analytics and unsupervised learning, and provide technical guidance for investigation tools. You will communicate findings to technical and non-technical stakeholders and partner with product and engineering teams to implement analytical features and models.
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
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
Benefits
- Education subsidy
- Team building programs
- Company events
- Wellness allowances
- Meal allowances
- Healthcare schemes for employees and dependants