Sr Data Scientist, Risk Strategy
Core
Sr Data Scientist driving risk strategy and fraud detection for a crypto exchange using advanced machine learning and data mining.
Role type
Senior IC data scientist (risk/fraud)
Builds
Fraud detection models, risk analytics systems, and investigative toolkits for a crypto exchange
Domain
Cryptocurrency/Blockchain, Financial Services, Fraud Analytics
Deliverable
production ML models
Required skills
Fraud analytics, Machine learning algorithms (GBM, XGBoost, LGBM), SQL, Python, R, Graph analytics, Unsupervised learning, Data mining, Statistical modeling
Preferred skills
Crypto/Blockchain experience, Startup environment experience, Innovation in unstructured data processes
Technologies
XGBoost, LGBM, Random Forest, SQL, Python, R
Responsibilities
Identify complex fraud patterns and root causes via data mining; Serve as technical SME for data mining techniques; Collaborate with stakeholders to communicate findings; Provide technical guidance for engineering projects integrating new data points; Link graph analytics to mitigate fraud networks; Apply unsupervised learning to detect portfolio anomalies; Develop machine learning models; Partner with product and engineering to implement features and models
Seniority
Senior, hands-on IC