Fraud Analytics Lead
Core
Execute advanced analytics to identify fraud methodologies, root causes, and compromised credentials to protect the U.S. financial system and participating institutions.
Role type
Senior Fraud Analytics Lead
Builds
Fraud detection insights and risk remediation strategies for payment networks and financial institutions
Domain
Financial services / Fraud risk management / Payments
Deliverable
production ML models
Required skills
Advanced data analytics, SAS, SQL, R, Python, Root cause analysis, Credential risk assessment, Financial network knowledge, Change management, Strategic communication
Preferred skills
Post-graduate degree in Math/Stats/Data Science, Fraud risk management certifications, Multi-institution fraud experience, Consumer and commercial banking applications
Technologies
SAS, SQL, R, Python
Responsibilities
Categorize root causes of fraud events across the network, Analyze and deduce root causes of fraud attempts, Identify and categorize risks of exposed network credentials and payment data, Articulate data-driven insights to influence organizational and institutional actions, Manage compromised credential discipline to control risk from exposed data
Seniority
Senior, hands-on IC
