Fraud Analytics Manager
Good storytelling starts with great listening.
At Audible, that means each role and every project has our audience in mind.
Because the same people who design, develop, and deploy our products also happen to use them.
To us, that speaks volumes.
ABOUT THIS ROLEThe Fraud Analytics Manager will be part of Audible's Business Assurance & Fraud Prevention team, working closely with business and technical teams around the globe.
This group's mission is to monitor, detect and triage fraud, abuse, gaming or business process opportunities that result in revenue loss or incremental costs.
You'll identify, prioritize, and manage mitigating actions worldwide while driving process improvements and system enhancements that reduce costs, increase revenue, or prevent fraud or abuse from occurring while working closely with business and technical teams.
You'll lead the analytics around two critical strategic pillars of the fraud roadmap.
One on protecting our content and secondly on earning customers trust.
ABOUT YOUYou have an investigative mindset with an analytical background in order to solve measure and forecast fraud and abuse issues.
Your focus is always on the customer.
You have superior communication skills, a passion for process improvement, and creativity to build innovative analytics and data visualizations.
You have the ability to manage multiple projects at the same time and you are relentlessly curious to solve fraud vectors and connect the dots between data and purpose.
As a Fraud Analytics Manager, you will Work with product on content protection strategy around DRM, scraping of 3rd party sites, fingerprinting and the right approach to address when discovered.
Work with the voyager team on fake review identification and removal.
Including dashboard creation and monitoring.
Oversee fraud database strategy for utilization, identification, and sharing w/in the TRMS/ARMS and other Amazon business units.
Prioritize the list of fraud initiatives based on risk to organization (financial, reputational, customer/artist impacting).
Shift from analysis phase into solution & engineering development phase and participate in PI process and business requirements to ensure effective solutions are implemented.
Triage and size fraud or abuse tickets and issues leveraging data mart, SQL, AWS, existing dashboard, Adobe, etc.
Any available data platform including sharing data with other Amazon business units.
Run micro (e.
g.
, customer level sampling for manual research / lookup) as well as macro level queries to model / forecast all business impacts.
Creatively and systematically identify downstream effects in a measurable way including lost revenue, incremental & opportunity costs, trust & customer satisfaction.
Financial impact will be key in prioritization.
Utilize existing dashboards and reports that identify fraudulent or suspicious accounts, transactions or activity and be able to drill down on the activities to determine root cause.
Be responsible for post-solution implementation measurement (ideally in a Treat vs.
Control / DSI methodology) to measure incremental impact of solution or mitigation efforts.
Analyze source systems, define underlying data sources and transformation requirements, design suitable data models and document the design/specifications.
Demonstrate passion for quality and productivity by use of efficient development techniques, standards and guidelines.
Effectively communicate with various teams and stakeholders, escalate technical and managerial issues at the right time and resolve conflicts.
Conduct peer review work.
Actively mentor more junior members of the team, improving their skills, their knowledge of our systems and their ability to get things done.
.
Estimated Salary: $20 to $28 per hour based on qualifications.
At Audible, that means each role and every project has our audience in mind.
Because the same people who design, develop, and deploy our products also happen to use them.
To us, that speaks volumes.
ABOUT THIS ROLEThe Fraud Analytics Manager will be part of Audible's Business Assurance & Fraud Prevention team, working closely with business and technical teams around the globe.
This group's mission is to monitor, detect and triage fraud, abuse, gaming or business process opportunities that result in revenue loss or incremental costs.
You'll identify, prioritize, and manage mitigating actions worldwide while driving process improvements and system enhancements that reduce costs, increase revenue, or prevent fraud or abuse from occurring while working closely with business and technical teams.
You'll lead the analytics around two critical strategic pillars of the fraud roadmap.
One on protecting our content and secondly on earning customers trust.
ABOUT YOUYou have an investigative mindset with an analytical background in order to solve measure and forecast fraud and abuse issues.
Your focus is always on the customer.
You have superior communication skills, a passion for process improvement, and creativity to build innovative analytics and data visualizations.
You have the ability to manage multiple projects at the same time and you are relentlessly curious to solve fraud vectors and connect the dots between data and purpose.
As a Fraud Analytics Manager, you will Work with product on content protection strategy around DRM, scraping of 3rd party sites, fingerprinting and the right approach to address when discovered.
Work with the voyager team on fake review identification and removal.
Including dashboard creation and monitoring.
Oversee fraud database strategy for utilization, identification, and sharing w/in the TRMS/ARMS and other Amazon business units.
Prioritize the list of fraud initiatives based on risk to organization (financial, reputational, customer/artist impacting).
Shift from analysis phase into solution & engineering development phase and participate in PI process and business requirements to ensure effective solutions are implemented.
Triage and size fraud or abuse tickets and issues leveraging data mart, SQL, AWS, existing dashboard, Adobe, etc.
Any available data platform including sharing data with other Amazon business units.
Run micro (e.
g.
, customer level sampling for manual research / lookup) as well as macro level queries to model / forecast all business impacts.
Creatively and systematically identify downstream effects in a measurable way including lost revenue, incremental & opportunity costs, trust & customer satisfaction.
Financial impact will be key in prioritization.
Utilize existing dashboards and reports that identify fraudulent or suspicious accounts, transactions or activity and be able to drill down on the activities to determine root cause.
Be responsible for post-solution implementation measurement (ideally in a Treat vs.
Control / DSI methodology) to measure incremental impact of solution or mitigation efforts.
Analyze source systems, define underlying data sources and transformation requirements, design suitable data models and document the design/specifications.
Demonstrate passion for quality and productivity by use of efficient development techniques, standards and guidelines.
Effectively communicate with various teams and stakeholders, escalate technical and managerial issues at the right time and resolve conflicts.
Conduct peer review work.
Actively mentor more junior members of the team, improving their skills, their knowledge of our systems and their ability to get things done.
.
Estimated Salary: $20 to $28 per hour based on qualifications.
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