Ecommerce Fraud Prevention Specialist

3 days ago

Bengaluru, Karnataka, India beBeeRisk Full time ₹ 1,04,000 - ₹ 1,30,878
Unlocking Risk Management Innovation

At the forefront of eCommerce fraud prevention, our risk management team stands out for its unwavering commitment to customer trust. We maintain an unparalleled bar for customer experience while harnessing cutting-edge technology, including machine learning and statistical modeling techniques, cloud computing services, and highly available and scalable distributed systems that support hundreds of millions of transactions globally.

The Unified Risk Evaluation System team takes ownership of evaluating bad actor risk across various entities, such as orders, purchases, sign-ins, and events that facilitate risky behavior. With real-time processing of every order and purchase, we conduct over 50 billion evaluations annually, safeguarding billions of dollars from potential losses. Our self-service capabilities enable the experimentation of new machine learning models, making it easy to onboard and manage numerous risk use cases worldwide.

We serve as guardians of customer trust by preventing malicious actors from harming good customers or scamming Amazon. The challenges we tackle push the boundaries of scale, ingenuity of bad actors, and cost-effectiveness in making risk decisions through bold goals like automating 100% of risk decisions or reducing fraud and abuse by 50% year-over-year.

Come join a distinguished team of engineers who embody ownership and innovation. Situated at the intersection of machine learning and security, we deliver significant customer impact at Amazon scale. Interact daily with ML scientists and build the platform to stay ahead of malicious activities.

Basic Qualifications

  • A minimum of 4 years of professional software development experience
  • At least 4 years of experience in designing or architecting new and existing systems
  • Experience programming with at least one software programming language

Preferred Qualifications

  • Full software development life cycle experience, including coding standards, code reviews, source control management, build processes, testing, and operations
  • Bachelor's degree in computer science or equivalent

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