Data Intelligence, Fraud Operations Analyst
Greater NYC Area
Identify impactful detection leads that increase velocity from time of threat identification to implementation of detection/blocking in White Ops products.
Deploy stop-gap defenses for emerging threats through the development of analyses, models, algorithms, and dashboards.
Create complex queries and reports to analyze historical data, including use of techniques such as: subqueries, temp tables, complex joins, variables.
Lead the design and architecture of data models and dashboards used to present key information to detection and customer success teams.
Facilitate Detection Research process responsible for triaging customer and internal inquiries about fraud efficacy.
Implement best practices and tooling that will improve the time to understand a new detection lead and process it.
Assist in research for case studies and white papers on fraud patterns.
Create detailed documentation of models, algorithms, and analyses to create transparency and audibility of work.