Have you ever thought about what it takes to detect and prevent fraudulent activity in hundreds of millions of eCommerce transactions across the globe?
What would you do to increase trust in an online marketplace where millions of buyers and sellers transact?
How would you build systems that evolve over time to proactively identify and neutralize new and emerging fraud threats?Our mission in Buyer Risk Prevention (BRP) is to make Amazon the safest place to transact online.
BRP safeguards every financial transaction across all Amazon sites, while striving to ensure that these efforts are transparent to our legitimate customers.
As such, BRP designs and builds the software systems, risk models and operational processes that minimize risk and maximize trust in Amazon.com.Key job responsibilitiesThe Risk Mining Analytics Manager will lead a team of skilled analysts in conducting in-depth analyses to identify emerging fraud patterns.
Your responsibilities include providing strategic guidance and mentorship to your team, overseeing analytical deep dives, collaborating with cross-functional stakeholders to communicate findings, cultivating a dynamic and challenging work environment, serving as a subject matter expert, ensuring adherence to policies and ethical conduct, identifying process improvements, and participating in strategic planning related to risk analytics initiatives.
The ideal candidate will possess strong leadership skills, excellent communication abilities, and a proven track record of managing high-performing teams in a fast-paced and complex environment, with experience in risk analytics, fraud detection, data analysis, stakeholder management, and cross-functional collaboration.A day in the lifeAs a Risk Mining Analytics Manager, your typical day revolves around providing strategic leadership, mentorship, and guidance to your team of analysts.
You'll collaborate with cross-functional stakeholders, review and present analytical findings, participate in strategic planning sessions, and ensure adherence to policies and best practices.
Additionally, you'll focus on fostering a dynamic work environment, identifying process improvements, and staying up-to-date with industry trends to drive the team's success in identifying and mitigating emerging fraud patterns.We are open to hiring candidates to work out of one of the following locations:San Jose, CRIBASIC QUALIFICATIONS- Bachelor's degree in a relevant field (e.g., Statistics, Mathematics, Computer Science, or a related analytical discipline) or equivalent experience- +5 years of experience in data analysis roles- 2+ yeas of experience leading, managing and developing teams- Strong analytical and problem-solving skills - Excellent written and verbal communication abilities- Hands-on experience with data analysis tools and programming languages (primarily SQL) - Strong project management and organizational skillsPREFERRED QUALIFICATIONS- Experience in risk analytics, fraud detection, or related domains- Knowledge of agile methodologies and project management frameworks- Proficiency in programming languages like Python, R, or SQL
