Fraud Detection and Analysis Manager

Job Description

  • 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.

Job Requirements

  • 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.

Job Description

  • 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.

Job Requirements

  • 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.

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