Data Engineer - Sr. Consultant level

Company Description

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.

Job Description

As a Data Engineer - Sr Consultant 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 ideation to implementation. The innovation will build on the machine learning, artificial intelligence, and big data research. You will research and develop seamless, fast, reliable and secure payment solutions using foundational and applied research techniques.

You will, in many cases, interact with different stake holders, 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, create development plan, execute, and implement the ideas.

You will be integral part of Visa Research and Risk teams. 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.

Key responsibilities include:

• Implement the set of services needed to release AI and data science models capable of working with terabytes of data. This includes model related features like one time and ongoing automatic model training, deploying, and monitoring models, as well as platform related features such as model repository, feature stores, data access layer.

• Provide support to the data science team to release Data science and AI models in production

• Provide technical leadership for efforts around tooling and infrastructure that enable teams to efficiently complete and maintain data science projects Partner with teams on modeling and analysis problems—from transforming problem statements into analysis problems

• Collaborate with research scientists, product owners and architects to deliver the fast-prototyping platform.

• Work and partner with product delivery teams to fully implement the proof of concept and early product in Visa services and products

• Present and demo the research solutions to a committee on the regular basis

• Champion the innovation across the organizations and industries as an expert in the subject, either by providing consulting or by contributing to technology talks and presentations

• Continue to learn about the payments and technologies in Visa and across industries

• Contribute in delivery of high-quality solutions that conform to requirements and the architectural vision and comply with all applicable standards. 

• Present technical solutions, capabilities, considerations, and features in business terms. Effectively communicate status, issues, and risks in a precise and timely manner. 

• Make decision on complex tradeoffs/priority during the design and execution, such as tradeoff between performance and flexibility, scope and timelines, availability and scalability, etc.

• Collaborate with project team members (Product Managers, Architects, Analysts, Software Engineers, Project Managers, etc.) to ensure development and implementation of new data driven business solutions.

• Be a technical leader on various projects across the platform and be a major contributor of the entire platform’s architecture.

• Drive development effort End-to-End for on-time delivery of high-quality solutions that conform to requirements, conform to the architectural vision, and comply with all applicable coding and security standards.

• Collaborate with senior technical staff and PM to identify, document, plan contingency