Fraud Prev Science Analyst , AWS Fraud Prevention

Job description

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.

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.

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.

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.

Learn and Be Curious.

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.

Inclusion and Diversity.

Our team is diverse! We drive towards an inclusive culture and work environment.

We are intentional about attracting, developing, and retaining amazing talent from diverse backgrounds.

Team members are active in Amazon’s 10+ affinity groups, sometimes known as employee resource groups, which bring employees together across businesses and locations around the world.

These range from groups such as the Black Employee Network, Latinos at Amazon, Indigenous at Amazon, Families at Amazon, Amazon Women and Engineering, LGBTQ+, Warriors at Amazon (Military), Amazon People With Disabilities, and more.

Learn more about Amazon on our Day 1 Blog: https://blog.aboutamazon.com

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 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.
* 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.

Preferred qualifications

* Basic experience with scripting languages such as Python and Bash.
* Experience working with large scale databases and relational data set solutions.
* 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.
* Ability to work in a fast-paced, ambiguous environment while prioritizing and managing multiple responsibilities.
Basic Qualifications
- 3+ years of tax, 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 experience
- 3+ years of business or financial analysis experience
- Bachelor's 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
Preferred Qualifications
- Experience in Excel (including VBA, pivot tables, array functions, power pivots, etc.) and data visualization tools such as Tableau

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 https://amazon.jobs/content/en/how-we-hire/accommodations for more information.

If the country/region you’re applying in isn’t 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 $66,900/year in our lowest geographic market up to $143,100/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 https://www.aboutamazon.com/workplace/employee-benefits .

This position will remain posted until filled.

Applicants should apply via our internal or external career site.

Required Skill Profession

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