Sr. SWAT Risk Analyst, Payment Risk ML

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. SWAT Risk Analyst 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 complex data analysis to proactively generate actionable insights 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 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 fraud attacks and create comprehensive mechanisms to stop them
2. Report on fraud trends and improve org level health of evaluation systems
3. Create and maintain dashboards that detect and inform stakeholders (such as payment product owners) on how to stop fraud About the team
Our team consists of Risk Analysts, 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. We are open to hiring candidates to work out of one of the following locations: Seattle, WA, USA

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