Fraud Prev Science Analyst , AWS Payments and Fraud Science
Share
Job Location:
Seattle, OR - USA
Yearly Salary:
$ 66900 - 143100
Posted on:
13-10-2025
Vacancies:
1 Vacancy
Job Summary
AWS has the most services and more features within those services than any other cloud providerfrom infrastructure technologies like compute storage and databasesto emerging technologies such as machine learning and artificial intelligence data lakes and analytics and Internet of Things. AWS Platform is the glue that holds the AWS ecosystem together. Whether its Identity features such as access management and sign on cryptography console builder & developer tools and even projects like automating all of our contractual billing systems AWS Platform is always innovating with the customer in mind. The AWS Platform team sustains over 750 million transactions per second.
About the Team. Would you like to join the team that protects the global AWS platform from fraud Do you enjoy thinking like a fraudster and using your technical skills to help detect & mitigate AWS accounts from being compromised If so AWS Fraud Prevention has an exciting opportunity for you.
Youll be part of a team of Data Scientists Investigations Analysts and Technical & non-Technical Program Managers. The teams goal is to identify and neutralize fraudsters from attempting to consume AWS resources for malicious intent.
About the Role. As a Business Analyst you will work closely with Data Scientists to monitor the flavor/ trend of compromise on AWS worldwide and leverage your analytical and data skills to deep dive on a myriad of fraud activity. You will be at the forefront of keeping abreast of trends and fraud issues impacting the Cloud industry to ensure AWS is leading the curve in identifying mitigating and preventing fraud attacks. As a Business Analyst your responsibilities will include:
* Identify new and emerging patterns of fraud and compromise and proactively take ad hoc actions to improve efficiency and reduce time to identify new fraud techniques tactics and procedures.
* Use statistical analysis to segment customer behavior and develop targeted solutions to prevent sophisticated fraud activity.
* Report on daily fraud trends and cluster characteristics perform deep dives and write summaries.
* Analyze emerging fraud MOs ad hoc mitigation actions e.g. rule performance trends and communicate it to larger fraud community. Partner with Data Scientists to build long-term counter protections.
* Contribute and/or lead special projects which reduce fraud related losses while maintaining focus on a positive customer experience.
* Design and influence operational best practices within the AWS Fraud Prevention Compromise team.
* Work with cross-functional teams across Amazon/AWS for collaboration on fraud risks and preventative measures to mitigate fraud risk.
* Work with stakeholders to drive process improvements that will impact internal and external customers.
Key job responsibilities
* Identify new and emerging patterns of fraud and compromise and proactively take ad hoc actions to improve efficiency and reduce time to identify new fraud techniques tactics and procedures.
* Use statistical analysis to segment customer behavior and develop targeted solutions to prevent sophisticated fraud activity.
* Report on daily fraud trends and cluster characteristics perform deep dives and write summaries.
* Analyze emerging fraud MOs ad hoc mitigation actions e.g. rule performance trends and communicate it to larger fraud community. Partner with Data Scientists to build long-term counter protections.
* Contribute and/or lead special projects which reduce fraud related losses while maintaining focus on a positive customer experience.
* Design and influence operational best practices within the AWS Fraud Prevention Compromise team.
* Work with cross-functional teams across Amazon/AWS for collaboration on fraud risks and preventative measures to mitigate fraud risk.
* Work with stakeholders to drive process improvements that will impact internal and external customers.
- 5 years of Excel (including VBA pivot tables array functions power pivots etc.) and data visualization tools such as Tableau experience
- 3 years of business or financial analysis experience
- Bachelors degree or equivalent
- Experience defining requirements and using data and metrics to draw business insights
- Experience with Excel
- Experience with SQL
- Experience making business recommendations and influencing stakeholders
- Experience in customer segmentation customer behavior analysis conjoint/trade-off modeling
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process including support for the interview or onboarding process please visit for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $66900/year in our lowest geographic market up to $143100/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.
About the Team. Would you like to join the team that protects the global AWS platform from fraud Do you enjoy thinking like a fraudster and using your technical skills to help detect & mitigate AWS accounts from being compromised If so AWS Fraud Prevention has an exciting opportunity for you.
Youll be part of a team of Data Scientists Investigations Analysts and Technical & non-Technical Program Managers. The teams goal is to identify and neutralize fraudsters from attempting to consume AWS resources for malicious intent.
About the Role. As a Business Analyst you will work closely with Data Scientists to monitor the flavor/ trend of compromise on AWS worldwide and leverage your analytical and data skills to deep dive on a myriad of fraud activity. You will be at the forefront of keeping abreast of trends and fraud issues impacting the Cloud industry to ensure AWS is leading the curve in identifying mitigating and preventing fraud attacks. As a Business Analyst your responsibilities will include:
* Identify new and emerging patterns of fraud and compromise and proactively take ad hoc actions to improve efficiency and reduce time to identify new fraud techniques tactics and procedures.
* Use statistical analysis to segment customer behavior and develop targeted solutions to prevent sophisticated fraud activity.
* Report on daily fraud trends and cluster characteristics perform deep dives and write summaries.
* Analyze emerging fraud MOs ad hoc mitigation actions e.g. rule performance trends and communicate it to larger fraud community. Partner with Data Scientists to build long-term counter protections.
* Contribute and/or lead special projects which reduce fraud related losses while maintaining focus on a positive customer experience.
* Design and influence operational best practices within the AWS Fraud Prevention Compromise team.
* Work with cross-functional teams across Amazon/AWS for collaboration on fraud risks and preventative measures to mitigate fraud risk.
* Work with stakeholders to drive process improvements that will impact internal and external customers.
Key job responsibilities
* Identify new and emerging patterns of fraud and compromise and proactively take ad hoc actions to improve efficiency and reduce time to identify new fraud techniques tactics and procedures.
* Use statistical analysis to segment customer behavior and develop targeted solutions to prevent sophisticated fraud activity.
* Report on daily fraud trends and cluster characteristics perform deep dives and write summaries.
* Analyze emerging fraud MOs ad hoc mitigation actions e.g. rule performance trends and communicate it to larger fraud community. Partner with Data Scientists to build long-term counter protections.
* Contribute and/or lead special projects which reduce fraud related losses while maintaining focus on a positive customer experience.
* Design and influence operational best practices within the AWS Fraud Prevention Compromise team.
* Work with cross-functional teams across Amazon/AWS for collaboration on fraud risks and preventative measures to mitigate fraud risk.
* Work with stakeholders to drive process improvements that will impact internal and external customers.
- 5 years of Excel (including VBA pivot tables array functions power pivots etc.) and data visualization tools such as Tableau experience
- 3 years of business or financial analysis experience
- Bachelors degree or equivalent
- Experience defining requirements and using data and metrics to draw business insights
- Experience with Excel
- Experience with SQL
- Experience making business recommendations and influencing stakeholders
- Experience in customer segmentation customer behavior analysis conjoint/trade-off modeling
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process including support for the interview or onboarding process please visit for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $66900/year in our lowest geographic market up to $143100/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.
Required Experience:
IC
Key Skills
- Microsoft Office
- Risk Management
- Financial Services
- Customer Service
- Fraud
- Root cause Analysis
- Law Enforcement
- Banking
- Analysis Skills
- Authentication
- Qualitative Research Interviewing
- ACH
About Company
Free shipping on millions of items. Get the best of Shopping and Entertainment with Prime. Enjoy low prices and great deals on the largest selection of everyday essentials and other products, including fashion, home, beauty, electronics, Alexa Devices, sporting goods, toys, automotive ... View more
