Manager, Data Science, Visa Consulting and Analytics (Card Payments)

Company Description

Visa is a world leader in payments and technology, with over 259 billion payments transactions flowing safely between consumers, merchants, financial institutions, and government entities in 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 while driven by a common purpose – to uplift everyone, everywhere by being the best way to pay and be paid.

Make an impact with a purpose-driven industry leader. Join us today and experience Life at Visa.

Job Description

Visa Consulting and Analytics (VCA) is Visa's consulting division, serving Visa's clients (including card issuers, acquirers, and merchants) and solving their strategic problems focused on improving performance and profitability. Drawing on our expertise in strategy consulting, payments, data analytics, marketing, operational and macroeconomics, VCA drives high impact and tangible financial results.

Visa is looking for Sr. Data Scientist (Manager level), who will be the responsible for leading data science engagements with our partners and supporting end-to-end delivery. The individual will work closely with teams involved in a comprehensive range of analytics services for Visa clients, that address unique challenges in areas such as strategic growth, cards profitability, product acquisitions, customer engagement and portfolio management.

What a Sr. Data Scientist, Visa Consulting & Analytics does at Visa:

The Data Science – Manager (Sr. Data Scientist) will be a member of VCA Data Science team in Asia Pacific. The position will be based in Visa’s Bangalore office.

The individual will be accountable for supporting and driving the design, development and implementation of analytics-driven strategies as well as high-impact solutions for Visa clients. He/she will bring in deep expertise from banking and payments with a strong background in data science to solve complex problems and unlock business value.

• Manage and deliver analytics projects from conception to completion with actionable insights and recommendations
• Define detailed scope and methodology, design and create solutions, and execute on the framework leveraging appropriate tools and techniques
• Execute and deliver data analytics projects for Visa clients
• 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
• Actively seek out opportunities to innovate by using VisaNet, non-traditional data and new modelling techniques fit for purpose to the needs of our clients

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.

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

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.
• 7+ years’ experience plus a bachelor’s degree in computer science, information science, mathematics, or similar/related streams. Graduate master’s degree is a plus.
• Hands-on in developing machine learning solutions, delivering end-to-end data science projects and scaling up data solutions. Familiar with data handling techniques including cleaning, wrangling, feature development and extraction, feature selection, etc is required. Familiar with typical machine learning models such as Linear & Logistic Regression, Decision Trees, Random Forests etc.
• Experience in card payments and/or retail banking domain.
• Hands on experience with one or more data analytics/programming tools such as Hadoop/SQL/Python/Hive/Spark
• 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

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.