Visa is a world leader in digital payments, facilitating more than 215 billion payments transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories each year. Our mission is to connect the world through the most innovative, convenient, reliable and secure payments network, enabling individuals, businesses and economies to thrive.
When you join Visa, you join a culture of purpose and belonging – where your growth is priority, your identity is embraced, and the work you do matters. We believe that economies that include everyone everywhere, uplift everyone everywhere. Your work will have a direct impact on billions of people around the world – helping unlock financial access to enable the future of money movement.
Join Visa: A Network Working for Everyone.
As a Staff Data Engineer for Visa Research focused on Visa Risk , you will discover, and maintain a variety of research projects in the Visa Research group. In this role, you will drive innovations by introducing technologies, methods, and solutions to deliver innovative products. You will drive innovation from conceptualization to implementation. The innovation will build on machine learning, artificial intelligence, and big data research. You will research and develop flawless, fast, reliable, and secure payment solutions using foundational and applied research techniques.
You will engage with different collaborators, senior executives, research scientists, software engineers and architects, as well as external parties like technology vendors, wallet providers, merchants, issuers and senior product regional managers. You will discover and propose research and development opportunities, build development plan, create, and implement the ideas.
Our team is focusing on building a new product suite for Visa’s real time payments options! This will have a fraud-management focus and be scaled across many markets at Visa. This suite will also bring ‘real-time fraud monitoring’ into play using the latest in Machine Learning & Deep Learning technologies. We are seeking Data Engineers that come from a wide array of backgrounds with the curiosity about creating something new and exciting for Visa.
You will have the opportunity and the responsibility to build the long-term vision for the payment industry and influence the direction of the research and development across Visa.
Essential Functions
This is a hybrid position. Hybrid employees can alternate time between both remote and office. Employees in hybrid roles are expected to work from the office 2-3 set days a week (determined by leadership/site), with a general guidepost of being in the office 50% or more of the time based on business needs.
Basic Qualifications:
Preferred Qualifications:
Visa is an EEO Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.
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