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    Sr. Risk Manager, Payment Risk ML - Seattle, United States - Amazon Inc

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    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 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

    As a Sr.

    Risk 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 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


    • Review instances of large fraud attacks and create comprehensive mechanisms to stop them
    • Report on fraud trends and improve org level health of evaluation systems
    • 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, 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.

    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

    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

    Our compensation reflects the cost of labor across several US geographic markets.

    The base pay for this position ranges from $96,900/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 This position will remain posted until filled. Applicants should apply via our internal or external career site.
    #J-18808-Ljbffr

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