Machine Learning jobs in Canada

Description

Would you like to join the team that protects the global AWS platform from fraud? Are you looking to solve exciting fraud challenges in the cloud? Do you want to work on a Cloud business that is growing multiple fold annually? Do you enjoy thinking like a fraudster and using your technical skills to help detect & mitigate AWS accounts from causing damage on our platform? If so, Amazon Web Services (AWS) Fraud Prevention has an exciting opportunity for you.

AWS is the leading cloud services provider, offering both the largest amount of services and the biggest amount of features within those services. These services range 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 Experience is the glue that holds the AWS ecosystem together. Whether it’s 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 Experience is always innovating with the customer in mind.

Each day, hundreds of thousands of customers make billions of transactions worldwide on our cloud. However, there are always actors trying to gain unauthorized access to legitimate customers accounts for their personal benefit.

The mission of the AWS Fraud Prevention Team is to keep the AWS platform a safe and trusted place for our customers and partners. We achieve this goal by identifying and preventing fraud for all AWS services, worldwide. Every day fraudsters attempt to steal our services. We use extensive data and machine learning models to build software solutions to detect and prevent such activities.

The AWS Fraud Prevention Compromise team is responsible for preventing, detecting and mitigating AWS account compromise. You’ll be part of a team that consists of Data Scientists, Data Analysts and Program Managers. Our team’s mission is to protect AWS and its customers from the damage arising from compromise fraud.

About AWS

Diverse Experiences

AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.

Why AWS?

Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.

Inclusive Team Culture

AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do.

Mentorship & Career Growth

We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.

Work/Life Balance

We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve.

Key job responsibilities

As a Fraud Investigation Analyst, you will work closely with Data Scientists to monitor the fraud trends 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 under a tight control the 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 compromise fraud and proactively take 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 Modus Operandis, design mitigation actions and communicate it to the larger fraud community. Partner with Data Scientists to build long-term counter protections.

• Lead and contribute on 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.

About the team

Utility Computing (UC)

AWS Utility Computing (UC) provides product innovations — from foundational services such as Amazon’s Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS’s services and features apart in the industry. As a member of the UC organization, you’ll support the development and management of Compute, Database, Storage, Internet of Things (Iot), Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for their cloud services.

Basic Qualifications

• Experience in business or financial analysis

• Bachelor's degree or equivalent

• Experience with SQL

• Experience making business recommendations and influencing stakeholders

• Experience in Excel (including VBA, pivot tables, array functions, power pivots, etc.) and data visualization tools such as Quicksight.

Preferred Qualifications

• Experience working with large scale databases and relational data set solutions.

• Ability to work in a fast-paced, ambiguous environment while prioritizing and managing multiple responsibilities.

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 ( https://www.amazon.jobs/en/privacy_page ) to know more about how we collect, use and transfer the personal data of our candidates.

m/w/d

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.