Jobs

The ideal candidate will use state-of-the-art statistical techniques to research and analyze complex statistical data related to all facets of risk management and fraud prevention at Amazon worldwide.

Responsibilities include:

• Analyzing and understanding large amounts of Amazon�s historical operations and customer history data for identifying specific risk instances and broader risk trends
• Innovating key initiatives around bad debt reduction, including discovering novel fraud/risk trends and designing specific solutions to avert loss
• Evaluating and optimizing existing and new analytical models for risk management
• Evaluating and optimizing business rules and policies by working closely with operations staff to optimize fraud detection and risk management
• Overseeing the implementation of new risk controls, assessing their results, and assisting in operational fine-tuning of risk controls
• Working closely and providing coordination between the analytics, engineering, and operations teams to drive key process improvements
• Establishing scalable, efficient, repeatable processes for large scale data analyses to support the creation and interpretation of key business metrics
• Developing key metrics and model reports for communication with business leaders
• Driving significant improvements in free cash flow through automation

• Minimum qualification for this position would be a highly experienced quantitative analyst with 3-5 years of exceptional hands-on experience with data analysis in a variety of quantitative fields.
• A PhD degree in statistics, mathematics, operations research, or a highly quantitative field is a requirement.
• Deep experience with SAS and statistical modeling packages is required, and familiarity with SQL and scripting languages (e.g. Perl) would be a plus.
• The candidate should have good communication skills and good business knowledge.
• He/She should be capable of, and motivated to collaboratively work with a diverse and innovative team of engineers, analysts, operations personnel and business management to achieve superior bottom-line results.

Amazon.com
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