Amazon.com is looking for a dynamic, innovative, and accomplished Manager, Risk Analytics to join the Transaction Risk Management Systems (TRMS) organization. TRMS’s mission is to make Amazon the safest and most trusted place worldwide to transact online. Amazon runs one of the most dynamic e-commerce marketplaces in the world, with nearly 2 million sellers worldwide selling hundreds of millions of items in ten countries. Have you ever thought about what it takes to manage risk in billions of transactions, including digital transactions and subscriptions? Or how to detect and stop fraudulent purchases and risks associated with thirteen different payment systems used on Amazon globally? Are you excited by the prospect of analyzing and modeling terabytes of data and creating state-of-the-art algorithms to solve real world problems? Do you like to own end-to-end business problems/metrics and directly impact the profitability of the company?
The Manager, Risk Mining will build and develop the analytics capability focusing on uncovering risks associated with different Amazon businesses. This is a highly visible role to build and lead a data science team. The candidate should be able to apply a breadth of tools, data sources, and analytical techniques to answer a wide range of high-impact business questions. Additionally, the candidate should be an effective communicator capable of independently driving issues to resolution and communicating insights to non-technical audiences.
This role requires an individual with excellent statistical and analytical abilities, knowledge of business intelligence solutions, and outstanding business acumen with the ability to work across engineering, project manager, and operations teams. The successful candidate is one who thrives on understanding the TRMS business, its data sources, and answering challenging business questions to improve the effectiveness of the operation.
You are proactive in uncovering meaningful insights for the organization and bring a refined set of soft skills when evangelizing analytics best practices. Your strong management skills will be utilized to help coach, guide, and develop the team to deliver critical projects that meet business requirements. The successful candidate will be a self-starter comfortable dealing with ambiguity, with strong attention to detail, an ability to work in a fast-paced environment, and driven by a desire to innovate in this space.