Fraud Detection and Analysis Manager
Monitor our automated fraud and campaign performance screening software.
Develop multi service, system, and/or process knowledge in order to detect and mitigate fraudulent activity and other conspicuousness across various services.
Analyze, interpret, and summarize transactional data to detect suspicious patterns and identify behavior trends among users.
Effectively communicate the suspect usage patterns and performance analysis to the corresponding account manager and product engineering.
Collaborate with product engineering to ensure the continuous improvement of the anti-fraud and campaign monitoring tool.
At least Associates Degree in Business, Mathematics or Statistics.
1+ year full-time working experience as data analyst in a digital-focused company and strong knowledge in statistics, mobile ecosystem and marketing (CPI, CPA, Affiliates, etc.).
Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy.
Proven ability to work efficiently with colleagues at all levels across the organization, as well as strong verbal and written communication skills.
Strong knowledge of and experience with reporting packages and tracking systems such as TUNE HasOffers, Voluum, Cake, etc. a plus.
Basic IT knowledge (IP, Proxy, User Agent, etc.) is much appreciated.
Demonstrated experience and/or strong working knowledge of Microsoft Excel.
Must be able to work five, 8 hour evening shifts, including weekends and holidays.