Senior Risk Modeler, PayPal (Bay Area)

With

We are seeking talented professionals who thrive in a fast paced, exciting environment, and want to constantly improve a service used by millions each month.

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

Education: Masters Degree or Equivalent

PayPal Careers Offer:

• Competitive salary & benefits
• Exciting, high-profile product
• Outstanding career and growth opportunities
• Energetic, team-oriented atmosphere

To apply for this position, please visit our Careers Site at
http://www.paypal.com/html/paypal_jobs.html. To begin the application process, enter the Job Number 13108BR into the Requisition Number search field and select submit. You can now begin applying for the position.

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