Description

　　Amazon’s Account Integrity team (AIT) within the Selling Partner Support organization is looking for a passionate, results-oriented Risk Mining Analyst (similar to business analyst) to leverage data, detect anomalies and prevent bad actors for harming our genuine customers. The incumbent will lead one of the core verticals of Risk Mining with AIT. The AIT team owns designing and building high performance software systems using machine learning that identify and prevent fraudulent activity and maintain high trust levels with our customers. Fraud and abuse prevention is a real-money game where our software and analytics teams strive to outsmart those who attempt to defraud Amazon and our customers.

　　As a Business Analyst for Risk Mining in the Account Integrity group, you will be responsible for analyzing large data sets in partnership with product managers, scientists, and engineers, drive root cause analysis of ever changing bad actor behaviours and deploy rules that will prevent bad actors from gaining access to Amazon's platform.

　　Note: The standard number of days for the role is 5 but will be required to work on either Tue- Sat or Sun - Fri with Sat or Sun as a fixed working day (with a week off on a standard work day).This is to provide round the clock coverage across Risk Mining.

　　Key job responsibilities

　　Create, maintain, and improve data sets, pipelines and reporting to track and manage important KPIs and goals in the Account Integrity space

　　Analyze complex customer trends to identify patterns, develop attritbutes that clearly articulate those pattern and incorporate those attributes into static rules for automated deployment in our account creation pipeline.

　　Operate as an on-call during rotation weeks to respond to high severity events impacting Amazon

　　Apply your expertise in quantitative analysis, data visualization and data-mining to design alarm systems, derive actionable insights and guide product strategy for stakeholders and leadership

　　Own the design, development, and maintenance of ongoing metrics, reports, analyses, dashboards, etc. within SQL and other BI tools

　　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

　　Communicate complex analysis and insights to stakeholders and business leaders, both verbally and in writing

　　A day in the life

　　Review instances of bad actor account activity and create rules for short term and mechanisms for long term to stop them

　　Report on fraud and abuse trends and leverage that information to support product development inputs

　　Create and maintain dashboards that detect and inform stakeholders (such as downstream payment and abuse product owners) on how to stop fraud and abuse via early stage detection of bad actor behavior

　　Participate and lead process improvement initiatives across account integrity teams

　　Develop rules to mitigate bad actor activity

　　Log in during on-call week to respond to any high severity events and if needed develop short term rules to mitigate impact

　　About the team

　　Our team consists of Business Analysts and Risk Mining specialists rolle up under the Account integrity Machine Learning Team. We evaluate instances of organized bad actor account take over and creation of fraudulent accounts on Amazon . 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:

　　Bangalore, KA, IND

　　Basic Qualifications

　　3+ years of tax, risk, finance or a related analytical field experience

　　5+ years of Excel (including VBA, pivot tables, array functions, power pivots, etc.) and data visualization tools such as Tableau, Amazon Quicksight

　　Bachelor's degree or equivalent

　　Experience with SQL. Should be able to independently write and audit queries for data extraction, auto queries for building alarms etc.

　　Experience defining requirements and using data and metrics to draw business insights

　　Experience with data pipelines, storage requirements and extraction

　　Preferred Qualifications

　　Bachelor’s Degree in any quantitative discipline such as Statistics, Mathematics or Economics.

　　5+ years of experience working in Analytics / Business Intelligence environment.

　　Demonstrated experience using scripting languages like R or Python.