Risk Analyst I, Payment Risk Mining
DESCRIPTION
Have you ever thought about what it takes to detect and prevent fraudulent activity among 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 Risk Analyst in BRP, you will be responsible for analyzing terabytes of data and evaluating system process to identify specific instances of risk, developing scalable and automated solutions to help Scientists, Product and Operations to mitigate organized fraud attacks.
Key job responsibilities
Design, develop, and maintain metrics, reports, analyses, dashboards using SQL, Python and other BI tools;
Design and implement various visual dashboards via Quick-sight to provide actionable insights to team members, stakeholders and our customers;
Design and develop ETL pipelines to automate business or science reports/monitors;
Support cross-functional teams on the day-to-day execution of projects and initiatives;
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;
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.
BASIC QUALIFICATIONS
1. Bachelor's degree or equivalent;
2. Experience with SQL and Excel
3. 3+ years experience of program requirements definition and leveraging data/metrics to drive improvements;
4. Experience in Data Visualization including Tableau, Quicksight, or PowerBI;
PREFERRED QUALIFICATIONS
1. Experience in program or project management;
2. 3+ years experience in ETL pipelines design and implementation;
3. familiarity with AWS data product like S3/Glue/Athena, etc;
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.
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $53,900/year in our lowest geographic market up to $115,400/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.