Senior Data Scientist, Risk (Risk Strategy)
Core
Strategic data scientist focusing on fraud detection, risk modeling, and graph analytics to identify complex fraud patterns and mitigate risks in crypto trading.
Role type
Senior IC data scientist (risk strategy & fraud analytics)
Builds
Fraud detection models, risk mitigation systems, and analytical toolkits for the investigation team
Domain
Cryptocurrency/Blockchain + Financial Risk
Deliverable
production ML models
Required skills
Fraud analytics, machine learning algorithms (GBM, XGBoost, LGBM), graph analytics, unsupervised learning, SQL, Python, R
Preferred skills
Crypto/Blockchain domain expertise, large complex data project ownership, 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 detect fraud networks; Apply unsupervised learning to detect portfolio anomalies; Develop machine learning models; Partner with product and engineering to implement features and enhance systems
Seniority
Senior, hands-on IC