KDnuggets : News : 2006 : n02 : item12 < PREVIOUS | NEXT >


From: Troy Barba
Date: 10 Jan 2006
Subject: San Jose, CA, USA: Senior Risk Modeler at PayPal

Primary Job Responsibilities:

  • Designing, developing and managing real-time risk/fraud models.
  • Designing, developing and managing semi-real time risk/fraud models.
  • Designing, developing and managing back-end (ie. non-real time) risk/fraud models.
  • Applying risk/fraud models to predict and control risk associated with new accounts, and to combat credit card fraud, bank account fraud, identity theft fraud, spoof fraud etc.
  • Applying risk/fraud models to identify and prevent transactions not allowed by PayPal policies like adult, gambling etc.
  • Preparing and extracting data from large databases.
  • Analyzing hundreds of variables covering a wide range of information from user profile to historical transaction data. Identifying new patterns and new variables. Selecting appropriate variable list.
  • For each modeling project, designing its best structure and selecting the most appropriate modeling techniques which may include a combination of several modeling techniques like logistic regression, decision tree and neural network.
  • Analyzing model performance and communicating model design and performance to senior management.
  • Working with product managers and engineering in deploying risk/fraud models.
  • Providing on-going performance tracking reports and managing model continually.
Job Requirements
  • M.S. or Ph.D in Statistics, Mathematics, Computer Science, Operations Research or other quantitative, engineering area is preferred. Ph.D is preferred.
  • Be able and be willing to do hands-on data analysis
  • Feel comfortable handling large data sets with millions of rows and up to a few thousands of columns.
  • Previous experience handling data analysis for large banks or financial services companies is preferred.
  • Previous industry experience in risk assessment models and fraud detection models is preferred
  • Experience with statistical modeling techniques like logistic regression, decision tree, neural network or other pattern recognition, machine learning statistical/mathematical modeling algorithms or techniques is required.
  • Excellent analytical and problem solving skills.
  • An energetic team player. Be willing to actively communicate with the team, share ideas and create a synergetic environment which encourages learning, thinking and actions.
  • Be able to work independently with minimal supervision.
  • Be enthusiastic and be able to contribute to a positive work environment.
  • Familiarity with SAS, SQL and UNIX is strongly preferred
  • Familiarity with Java, C++ or Perl is preferred

To apply please send your resume to: troy@paypal.com

KDnuggets : News : 2006 : n02 : item12 < PREVIOUS | NEXT >

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