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

What’s it all about?

Visa Consulting and Analytics (VCA) is the consulting arm of Visa, and drives tangible, impactful and financial results for Visa’s network clients, including both financial services and merchants. Drawing on our expertise in strategy consulting, data analytics, brand management, marketing, operational and macroeconomics, VCA solves the most strategic problems for our clients.

VCA Managed Services (VMS) is an augmentation of Visa’s consultancy offering. VMS deploy Visa specialists to work within our clients’ infrastructure either standalone or alongside existing teams. The purpose is to support our clients in strategic execution and implementation to help scale competitive advantage and operate to succeed in the digital age. We are passionate about providing an outstanding client experience, delivering Visa products and service offerings that improve efficiency and drive value for everyone!

We are looking for a Data Scientist to a be key member of our VMS team and Data Science community in the UK&I. In this role, you will be assigned to exciting opportunities at specific clients to work with our clients’ data in their infrastructure. You may be required to work independently, in a VMS team and/or alongside our client’s existing teams. Whichever it is, you will always have a Visa network and team there to support you. Client engagements may vary in length but will have the core requirement for you to be a critical Visa-representative, accountable for producing valuable analysis and extracting relevant insights to define and deliver strategic goals with mutually beneficial outcomes for both parties.

Even when working with our clients, you will be part of the VCA family. This means having the ability to build your network, learn from other experts and previous client engagements, be informed about the latest developments in the payments industry on a global level, ask questions and problem solve with colleagues, and share your knowledge and ideas to drive innovation and evolve our capabilities and offerings.

This is a superb opportunity for an upbeat and hard-working individual to drive VMS and its Data Science practice to the next level, and we are really excited to see how you could support this!

What we expect of you, day to day:

• Consulting with partners to understand and translate business needs into data products for reporting, visualisation, analytics and machine learning.
• Finding quantitative solutions to business problems and articulate the results clearly to all stakeholders.
• Collaborating with global teams on the development of global data products and metadata standards.
• Carrying out mathematical and statistical tests on large and complex data sets for stress testing and modelling.
• Developing, deploying and maintaining models which can predict, forecast and simulate scenarios with different variables.
• Completing analysis across multiple areas including, but not limited to consumer behaviour, segmentation, marketing and pricing.
• Evangelising the creative use of data and analytics to solve our clients’ business problems.
• Identifying further opportunities where the client may benefit from VCA support.
• Identifying trends in our client work to inform our data product development path.
• Identifying how data science and predictive techniques can be used to enhance client profitability, card and payments portfolio management across acquisition, usage & retention.
• Developing understanding of commercial levers that drive spend behaviour.
• Liaising with the Visa Data Science community to understand our approaches, share ideas on how to harness the power of Visa data, and implement relevant solutions to our client. 

Think you have what it takes?

If you are interested in a career that will challenge and inspire you – we’d love to hear from you!

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 2-3 set days a week (determined by leadership/site), with a general guidepost of being in the office 50% or more of the time based on business needs.

Qualifications

What we’re after…

Extensive experience with common data science, data analysis and statistical methods.
Experience in the application of predictive modelling and machine learning techniques to solve business problems.
Consistent track record of converting data into actionable insights and recommendations resulting in tangible benefits.
Proven analytical experience within financial services consumer credit portfolios with an understanding of lending products, profitability and credit risk.
Proficient in SAS, SQL and Python analytical software packages.
Experience using data technologies including relational, dimensional, NoSQL data platforms plus metadata, data transformation tools, and traditional warehouse technologies.
Strong organisational, problem-solving, inter-personal and communication skills.
Ability to proactively draw out business opportunities.
Excellent attention to detail.
Graduate/Post Graduate degree (Masters or PhD) in Quantitative field such as Statistics, Mathematics, Operational Research, Computer Science, Economics, or engineering or equivalent experience.

Preferred Experience:

Project management, working across a range of teams resulting in successful delivery.
Working knowledge of FCA regulations and their application in a consumer lending environment.
Expertise in data visualisation tools and techniques.
Hands on experience on processing extremely large data sets.
Understanding of payments and Visa’s role in the ecosystem.
Knowledge of payment network transactional data.

Additional Information

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.