Risk Analyst at Amazon

In this role you will develop next generation risk minimization and fraud detection algorithms using Statistical and Operation Research principles. You will have strong analytical mindset and relevant industrial experience. You will demonstrate terrific attention to detail. You will have the ability to process large data stets spanning multiple geographies and multiple data sources. You will have the clear business intuition to connect the data trends to business realities. You will have the ability to explain technical concepts in a simple and sound business like manner. This role is considered as a high impact role to bottom-line as Programmer Analyst-Risk-analytics at Amazon.com.

Responsibilities :

• Demonstrate through technical knowledge on Statistical modeling, Probability and Decision theory, Operations Research techniques and other quantitative modeling techniques
• Understand the business reality behind large sets of data and develop meaningful models
• Connect with business problems related to buyer and seller risks and fraud management and develop cutting edge algorithms for risk mitigation
• Work closely with developers in clearly giving them the requirements towards deploying the algorithms and models in real time detection engines
• Perform ad hoc analysis time to time to understand new trends in risk modeling and fraud patterns
• Innovate by adapting new modeling techniques and procedures
• Take end to end ownership in thoroughly understanding the business problems and translating that into algorithms

Qualifications :

• MS required, PhD desired in either Industrial Engineering or Operations Research or Computer Science
• Over 3 years of relevant risk management/analytics, financial modeling, credit & reporting experience, preferably in a commercial lending business
• Proven track record in understanding business problems and developing effective algorithms and solutions
• Knowledge of at least one major statistical data analysis systems like SAS or SPSS
• Ability to process large data sets from multiple data sources
• Prior experience in developing models for credit review, internal audit, and/or commercial underwriting is strongly preferred
• Experience in Predictive Analytical modeling such as forecasting using time series or any other such techniques is preferred
• Strong analytical mindset with willingness to Innovate
• Ability to work closely with highly qualified professional as a team
• Familiarity in working with SQL/C++ is preferred
• Comfortable in working with multiple operating systems
• Display entrepreneurial spirit in working
• Ability to work efficiently and effectively in fast paced environment with tight deadlines
• Willingness to Travel

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