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. 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
Own the design, development, and maintenance of ongoing metrics, reports, analyses, dashboards, etc. within SQL and other BI tools
Design and implement various visual dashboards in order to make insights available to team members, stakeholders and our customers
Support cross-functional teams on the day-to-day execution of projects and initiatives
Enable effective decision making by retrieving and aggregating data from multiple sources and compiling it into a digestible and actionable format
Preparing and delivering business reviews to the senior management team regarding progress and roadblocks
Communicate complex analysis and insights to stakeholders and business leaders, both verbally and in writing
A day in the life
1. Review instances of large organized fraud attacks and create comprehensive mitigation strategies
2. Leverage internal tools and design dashboards to identify and report anomalous purchase behaviors
3. Create and maintain dashboards that detect and inform stakeholders (such as payment product owners) on how to stop fraud
4. Leverage internal tools and design dashboards to identify and report anomalous purchase behaviors
About the team
Our team consists of Business 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.
BASIC QUALIFICATIONS
- 4+ years of compliance program management, legal, governance, audit, risk/loss prevention, or equivalent experience
- Bachelor's degree or equivalent
- Experience handling confidential information
PREFERRED QUALIFICATIONS
- 3+ years of program requirements definition and data and metrics leveraging to drive improvements experience
- Professional auditing qualification, or similar risk or compliance credentials
- Experience with SQL and Excel
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 $66,800/year in our lowest geographic market up to $142,800/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.