Lead Quantitative Analyst, Fraud Prevention

1 week ago


Bengaluru, Karnataka, India myGwork Full time

As a Lead Quantitative Analyst with Amazon's Buyer Risk Prevention (BRP) Machine Learning group, you will play a critical role in developing advanced algorithmic systems to manage the safety of millions of transactions every day.

Our team is passionate about using machine learning and statistical techniques to help Amazon provide the best customer experience by preventing eCommerce fraud. We are looking for a talented analyst who is eager to build on our successes and push the boundaries of what is possible.

We value diversity and collaboration in our team environment, and we are committed to providing opportunities for growth and professional development. If you have a strong background in quantitative analysis and are passionate about solving complex problems, we encourage you to apply.

About the Role:

The ideal candidate will have a strong understanding of supervised and unsupervised algorithms, including tree-based models and neural networks. You will be responsible for designing, prototyping, and testing multiple hypotheses in a high-ambiguity environment, utilizing quantitative analysis and business judgment.

You will also be expected to collaborate with software engineers, product managers, and domain experts to identify and address challenges requiring innovative solutions for our products. Additionally, you will need to acquire knowledge of Amazon's diverse data resources and determine when, how, and which resources to leverage or exclude.

Requirements:



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