Data Scientist, Credit Card Analytics

include:

• Execute and deliver data analytics projects for the Visa client
• Drive credit card portfolio strategies with the use of client data and/or other sources of data e.g. Visa data, third party etc.
• Act as analytics advocate within our partners, advising teams and sharing best practices and case studies.
• Continually look at the environment to challenge our assumptions around new sources of data, potential analytics partners, tools, talent, and infrastructure.
• Explore leading methodologies, best practices and import successful methodologies from other international markets
• Effectively interact with clients and manage internal/external stakeholder communication

Why this is important to Visa:

As payments consulting arm of Visa, VCA is growing a team of highly specialized experts who can provide best-in-class payment expertise and data-driven strategies to clients.

We’re building a high-performing team of data scientists, data analysts and statisticians helping major organizations adapt and evolve to meet the changes taking place in technology, finance, and commerce with cutting-edge, creative, and advanced analytic solutions.

The purpose of the team is to help Visa’s clients grow their business and solve problems by providing consulting services using data.

What you will need:

We are looking for a motivated, analytical minded individual with a track record of using data and analytics to unlock business value.

A successful candidate should have accumulated a variety of industry experience, be curious about banking and cards industry, should be results-driven and client-centric.

• Degree in a Quantitative field such as Statistics, Mathematics, Operational Research, Computer Science, Economics, Engineering, or equivalent
• 4-5 years of analytics experience in applying statistical solutions to business problems
• Experience in credit cards, and/or retail banking analytics
• Hands on experience with one or more data analytics/programming tools such as SAS/Hadoop/R/SQL/Python/Hive
• Outstanding problem-solving skills, with demonstrated ability to think creatively and strategically
• Presentation and data storytelling skills including strong hold on MS Excel and PowerPoint
• Self-motivated, results oriented individual with ability to handle multiple projects concurrently
• Experience in working closely with data science community

This is a hybrid position.

Expectation of days in office will be confirmed by your hiring manager.

• Degree in a Quantitative field such as Statistics, Mathematics, Operational Research, Computer Science, Economics, Engineering, or equivalent
• 4-5 years of analytics experience in applying statistical solutions to business problems
• Experience in credit cards, and/or retail banking analytics
• Hands on experience with one or more data analytics/programming tools such as SAS/Hadoop/R/SQL/Python/Hive
• Outstanding problem-solving skills, with demonstrated ability to think creatively and strategically
• Presentation and data storytelling skills including strong hold on MS Excel and PowerPoint
• Self-motivated, results oriented individual with ability to handle multiple projects concurrently
• Experience in working closely with data science community

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.