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.

To ensure that Visa’s payment technology is truly available to everyone, everywhere requires the success of our key bank or merchant partners and internal business units. The GDS Data Engineering group supports these partners by using our extraordinarily rich data set that spans more than 3 billion cards globally and captures more than 100 billion transactions in a single year. Our focus lies on building scalable engineering solutions that have an immediate impact on the business of our highly analytical partners. We work in complementary teams comprising members from Data Engineering Data Science and various groups at Visa. To support our rapidly growing group we are looking for Data Engineer who are equally passionate about the opportunity to use Visa’s rich data to build Data Engineering pipeline, and deploy ML/DL modeling solutions for global or regional areas to tackle meaningful business problems.

The position is based at Foster City, CA or other GDS offices in the U.S.

• Essential Functions

• Create automated data ingestion pipeline with Spark, Python or other tools and provide scalable data engineering solution for Visa Consulting and Analytics

• Understand credit card portfolio profitability and develop financial allocation and forecasting models, e.g. calculate NPV, net profit margin using P&L data

• Ensure issuer data accuracy, integrity and consistency. Develop self-service reporting tools with financial KPIs and facilitate issuer consulting engagements including data exchange

• Assist in analytics and communication of key financial revenue driver trends and performance

• Drive in-depth analysis to help issuers increase cardholder usage and engagement, providing data driven insights and actionable recommendations to improve cardholder activation and usage

• Develop custom data models and algorithms to apply to data sets

• Use predictive modeling to increase and optimize customer experiences, revenue generation, data insights, and other business outcomes

• Be an out-of-the-box thinker who is passionate about brainstorming innovative ways to use our unique data to answer business problems

• Communicate with clients to understand the challenges they face and convince them with data

• Extract and understand data to form an opinion on how to best help our clients and derive relevant insights

• Develop visualizations to make your complex analyses accessible to a broad audience

• Find opportunities to craft products out of analyses that are suitable for multiple clients

Assess the effectiveness and accuracy of new data sources and data gathering techniques

Basic Qualifications

•  2 years of work experience with a Bachelor’s Degree or an Advanced Degree (e.g. Masters, MBA, JD, MD, or PhD)

Preferred Qualifications

• 3 or more years of work experience or more than 2 years of work experience with an Advanced Degree (e.g. Masters, MBA, JD, MD)
• 2+ years’ experience in data-based decision-making or quantitative analysis
• Master’s degree in Statistics, Operations Research, Applied Mathematics, Economics, Data Science, Business Analytics, Computer Science, or a related technical field
• Extracting and aggregating data from large data sets using SQL/Hive or Spark
• Analyzing large data sets using programming languages such as Python, R, SQL and/or Spark
• Generating and visualizing data-based insights in software such as Tableau
• Communicating data-driven insights and conveying actionable recommendations
• Managing and organizing work in Office software such as Word, Excel, PowerPoint and/or Teams
• Building predictive and descriptive statistical models using machine learning tool kit, Jupyter notebooks, Python, and/or SAS
• Data mining and statistical modeling (e.g., regression modeling, clustering techniques, decision trees, etc.)
• Previous exposure to financial services, credit cards or merchant analytics is a plus, but not required

Work Hours: Varies upon the needs of the department.

Travel Requirements: This position requires travel 5-10% of the time.

Mental/Physical Requirements: This position will be performed in an office setting.  The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers.

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.

Visa will consider for employment qualified applicants with criminal histories in a manner consistent with applicable local law, including the requirements of Article 49 of the San Francisco Police Code.