Data Scientist - Enterprise Fraud Organization
Core
Develop anomaly detection metrics and monitoring tools to identify potential fraud and emerging trends within the Enterprise Fraud Organization.
Role type
Data Scientist (Fraud Detection)
Builds
Anomaly detection metrics, monitoring tools, and fraud mitigation insights
Domain
Financial Services / Fraud Prevention
Deliverable
production ML models | dashboards & analysis
Required skills
Anomaly detection, Data mining, Machine Learning, Statistical analysis, Data visualization
Preferred skills
Data Analytics, Data Science, Modeling
Technologies
Query and Database Access Tools
Responsibilities
Develop algorithms using advanced mathematical and statistical techniques to predict business outcomes; Analyze data to detect suspicious activity and identify fraud patterns; Partner with cross-functional teams to improve fraud mitigation processes.
Seniority
Mid-level (3+ years experience)
