Visa has the world’s largest consumer payment transaction data set. We see data on over 100 billion transactions per year from all over the world. We use that data to help our clients in the payment ecosystem grow their businesses and to help consumers access a fast, safe, and rewarding payment experience.

From across the globe, people are increasingly relying on digital payments and mobile technology to use their money any time, make purchases online, transfer funds across borders and access basic financial services. To ensure that payment transactions are secure and reliable, Visa has invested heavily in advanced authentication and fraud prevention technologies, and the company continues to develop and deploy new and innovative programs to fight fraud, enable acceptance, and support consumers. We also invest heavily in helping banks and merchants understand the behavior of their customers so they can bring products and services to market that more effectively meet their customers’ needs.

Reporting into the VP of Predictive Modeling, the Director of Data Science will be responsible for leading a small team to do data science R&D, and build production models to serve Visa issuers and merchants, and create value for Visa.

The Director of Data Science will be responsible for: 

• Lead a small pod of decision scientists
• Leveraging data science to unlock the value of Visa’s unique data
• Conduct R&D identify opportunities in the non-fraud modeling space, and monetize the opportunities
• Making complex modeling approaches accessible to lay audiences
• Partnering with our Analytics team to identify trends in our projects that indicate potential for new models
• Providing input to the Product Management and Technology teams who are building out the roadmap for our technical capabilities in building and deploying models
• Continually looking at the environment to challenge our assumptions and innovate on new sources of data, tools, etc.

• Proven experience building, leading a high-performing team of predictive modelers. Operate as a thought leader and people leader.
• Experience with advanced techniques and emerging approaches to data and decision science.
• Strong consultative skills to establish relationships across the broader organization and align with Visa’s strategy and vision
• Ability to communicate with both business and technology leaders, with a strong understanding of business data requirements and technology capabilities and an ability to make technical concepts accessible to non-technical audiences.
• Ability to influence customers and build consensus

Experience

• Minimum 7 years’ experience in predictive modeling functions
• Experience leading a modeling team in fast-paced environment
• Experience in financial services, preferably in payments / card networks or with an issuer, is highly desirable
• International experience is a plus
• The ideal candidate holds an advanced degree in a quantitative field, such as statistics, mathematics, engineering, or economics.

All your information will be kept confidential according to EEO guidelines.