Leverage data and advanced analytics to derive patterns, trends and insights, and perform risk/reward trade-off analysis
Ownership and management of internal fraud rules, data sources, and evaluation of ETL, execution performance and gap analysis
Drive alignment across functional teams by interacting with data engineers, analysts, and business leaders to ensure shared understanding of data logic, and implementation specifics
Ownership of controls and governance processes, identify potential process gaps and opportunities for improving effectiveness
Generate and manage regular and ad-hoc reporting to enable effective investigation and identification of detection possibilities
Build effective relationships within and outside the internal fraud team to help ensure successful and timely execution of key portfolio priorities

Bachelor’s Degree required in statistics, economics, computer science, or other analytical or quantitative discipline
3+ years in analytical field
Solid SQL skills and hands on coding experience and data structure/process understanding
Experience working with Big Data Environment Open Source (i.e. Python, Impala, Hive, etc.) tools and scripting language are preferred
Excellent exploratory analytic skills: hands-on data validation skills and business analysis acumen to derive patterns and insights, and perform risk/reward trade-off analysis
Good written and verbal communication skills, with ability to connect analytics to business impacts; comfortable presenting to peers and management
Extremely detail-oriented; intellectual curiosity
Ability to multi-task and work against tight deadlines
Ability to work independently with baseline instructions/guidelines from management

medical, dental & vision coverage
401(k)
life, accident, and disability insurance
wellness programs
paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays

Senior Fraud Data Analytics Analyst, Assistant Vice President

Key skills