Sr. Payment Risk Analytics Manager, Payment Risk ML - Amazon

Description 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.com 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. As a Sr. Payment Risk Analytics Manager in BRP, you will be responsible for analyzing terabytes of data to identify specific instances of risk, broader risk trends and points of customer friction. You will develop scalable solutions for fraud prevention. In addition, you will be responsible for building a robust set of operational and business metrics and will utilize metrics to determine improvement opportunities. Key job responsibilities Perform advanced analysis to proactively generate actionable insights levering massive amounts of data, Amazon's start of the art infrastructure and tools Independently solve ambiguous business problems and design risk strategies that are not clearly defined Enable effective decision making by retrieving and aggregating data from multiple sources and compiling it into a digestible and actionable format Communicate complex analysis and insights to stakeholders and senior business leaders, both verbally and in writing Strategically influence cross-functional teams in solving broad problems A day in the life 1. Review instances of large organized fraud attacks and create comprehensive mitigation strategies 2. Collaborate with Machine Learning, Product, Program, Legal and Operations in implementation of solutions that enhance Customer shopping experience WW 3. Leverage internal tools and design dashboards to identify and report anomalous purchase behaviors 4. Lead a team of analyst and investigators dedicated to identifying problems and creating a solution framework About the team Our team consists of Risk Analysts, Risk Managers, Data Scientists, Business Intelligence Engineers and Applied Scientist rolling under the core Buyer Risk Prevention Machine Learning Team. We evaluate instances of organized buyer fraud attacks on Amazon platform WW across various payment methods. We collaborate closely across multiple functions in order to mitigate these attacks through various short and long term solutions. Basic Qualifications - 6+ years of compliance, audit or risk management experience - Bachelor's degree or equivalent - 6+ years of experience in data analytics - Highly data driven - Able to source and analyze data to drive business strategies and decisions - Skilled with writing, tuning, and troubleshooting SQL queries - Experience with data modeling, data warehousing, and ETL pipelines Preferred Qualifications - Project Management Professional (PMP) or equivalent certification - Experience leveraging technology and implementing lean principles / Six Sigma methodologies to drive process improvements or equivalent - Master's degree or equivalent - Experience in e-commerce / on-line companies in fraud / risk control functions - Experience in collaborating across multiple stakeholders - Program Managers, Scientists and ML team Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $109,000/year in our lowest geographic market up to $185,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.