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.

At Visa, we believe that we need to change the way we buy and do business to create patterns of consumption that are sustainable, considering not just our GHG emissions but the whole planet.

We believe that all actors in the system increasingly want to participate in this transition, and that consumers will change their consumption patterns when they become aware of their impact and options, even showing willingness to pay for it.

There is a strong belief that those who get it right will be rewarded, and that Visa can play an invaluable role as the network of networks for our clients and partners in offering sustainable solutions.

There is increasing demand for the data for sustainability - carbon footprint calculation, scoring and data enrichment are some of the areas where there is increasing interest from consumers, merchants, banks and governments, but they need help to navigate this emerging world – clients often don’t know what their impact is, or how to modify it.

Visa is seeking a banking and payments professional with experience in data science and a passion for sustainability, to join the Sustainability Solutions team. The successful candidate will work directly with the Sustainable Data & Modelling lead, supporting with managing and shaping the function, working with clients to understand their needs, and devising the roadmap and requirements of data for sustainability – driving for the overall objective of a Visa powered, global sustainability score and insights for the market.

Responsibilities

• Support the strategy and vision of data for sustainability, feeding into the design, development and implementation of data driven strategies and solutions to support Visa’s clients in offering valuable scoring algorithms, for carbon, GHG and beyond
• Provide input to the creation of rich, compelling, easy to understand sustainability data products, that leverage and integrate diverse data sets (VisaNet, carbon emissions, product disclosures, ESG, movement)
• Contribute to innovative and scalable data solutions to serve customer needs, even where data is imperfect or challenging to obtain – supporting the development of an iterative data model that ingests and evaluates data as a process
• Collaborate with key stakeholders across internal Visa areas – including but not limited to: Products, Business Solutions, Data Science, Consulting & Analytics and other government and merchants teams
• Play a key role in a cross-functional matrix, leveraging existing sources & initiatives, internal & external expertise, and Visa & third party products to create the best in class models to power products
• Direct interactions with clients across the payment landscape / government, and Account Executives to understand client needs and develop value propositions

• 5 or more years of work experience with a Bachelor’s Degree or at least 3 years of work experience with an Advanced Degree or PhD
• Awareness of and passion towards sustainability
• Knowledge and experience of the payments and/or banking industry
• Experience in and passion for the power of data science and analytics to inform and drive strategy and tactics, and proven ability to generate insights from data
• Previous experience as data scientist/data science manager a plus, as the role will not be engaged in day-to-day coding, but will need to deeply collaborate with data scientists
• Demonstrated strong interpersonal and communication skills, effective decision making and a passion for driving innovation
• Excellent stakeholder management skills
• Strong planning, organizational and problem-solving skills
• Demonstrated experience in analyzing and interpreting market research, and providing key input to enable decisive action for success

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 two days a week, Tuesdays and Wednesdays with a general guidepost of being in the office 50% of the time based on business needs.