AWS Fraud Analyst, AWS Fraud Prevention

Key Skills

Microsoft-Excel, Java Programming, Design, Risk Analytics, Python Programming, Database, SQL, AWS, Business Intelligence, Data Visualization, Tableau, Amazon Elastic Compute Cloud-EC2, AWS Sagemaker, Bash scripting, Amazon Simple Storage Service (S3), Large scale data processing, Mathematics

Job Description

AWS has the most services and more features within those services, than any other cloud provider–from infrastructure technologies like compute, storage, and databases–to 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.

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.

The AWS Fraud Prevention Compromise vertical is responsible for detecting & mitigating AWS account compromise. You’ll be part of a team of Data Scientists, Investigations Analysts, and Technical & non-Technical Program Managers. The team’s goal is to identify and neutralize fraudsters from compromising AWS customers’ accounts.

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, migrating 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.

Our team also puts a high value on work-life balance. Striking a healthy balance between your personal and professional life is crucial to your happiness and success here, which is why we aren’t focused on how many hours you spend at work or online. Instead, we’re happy to offer a flexible schedule so you can have a more productive and well-balanced life—both in and outside of work.

We have a formal mentor search application that lets you find a mentor that works best for you based on location, job family, job level etc. Your manager can also help you find a mentor or two, because two is better than one. In addition to formal mentors, we work and train together so that we are always learning from one another, and we celebrate and support the career progression of our team members.

Here at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and we host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences. Amazon’s culture of inclusion is reinforced within our 14 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust.

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Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice to know more about how we collect, use and transfer the personal data of our candidates.

BASIC QUALIFICATIONS

• Bachelor's Degree, preferably in an analytical field e.g. Economics, Operations, Business, Mathematics, Statistics, Finance or in another related field.
• 3+ years of experience working in Analytics/Business Intelligence environment.
• Ability to apply analytical, technical, statistical and quantitative skills to tackle problems.
• Experience working with large scale databases and relational data set solutions.
• Proficiency in extracting and processing data using SQL.
• Ability to use scripting languages, Excel or Tableau for data visualization and reporting.
• Detail-oriented and must have an aptitude for solving unstructured problems. The role will require the ability to extract data from various sources and to design/construct/execute complex analyses to come up with data/reports that help solve the business problems.
• Excellent oral and written communication skills.
• Ability to work in a fast-paced, ambiguous environment while prioritizing and managing multiple responsibilities.

PREFERRED QUALIFICATIONS

• Basic experience with scripting languages such as Python and Bash.
• Experience working with AWS technologies (EC2, CloudTrail, S3, SageMaker, etc.).
• Demonstrated skill and passion for operational excellence.
• Previous work as an Analyst in the context of fraud analytics or risk scoring.