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 DescriptionVisa Consulting and Analytics (VCA) 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, Visa Consulting and Analytics solves the most strategic problems for our clients.
The India & South Asia (INSA) Consulting Market team within Visa Consulting & Analytics provides consulting and solution services for Visa’s largest issuers in India, Sri Lanka, Bangladesh, Nepal, Bhutan & Maldives. We apply deep expertise in the payments industry to provide solutions to assist clients with their key business priorities, drive growth and improve profitability. The VCA team provides a comprehensive range of consulting services to deliver solutions that address unique challenges in areas such as improving profitability, strategic growth, customer experience, digital payments and running risk.
The individual will be part of VCA Data Science geographic team cluster of India and South Asia (INSA) markets and will be responsible for delivery of data science and analytics based solutions to Visa Clients.
The individual will be supporting the development and implementation of analytics-driven strategies as well as high-impact solutions for Visa clients. He/she will bring in prior experience in data science and data-driven insights to solve complex problems and unlock business value.
Key responsibilities include:
- Deliver data science solutions for India and South Asia clients using Visa data, driving measurable business outcomes.
- Develop and scale innovative data products for issuers, acquirers, and merchants, including bespoke and standardized offerings.
- Champion Generative AI adoption to transform workflows, boost efficiency, and accelerate project delivery.
- Collaborate with Singapore and Bangalore teams to ensure client requirements are met with scalable solutions.
- Communicate actionable insights and recommendations to clients and stakeholders with clarity.
- Maintain high standards for deliverables, ensuring consistency, quality, and thorough documentation.
- Manage multiple projects efficiently, ensuring timely and accurate delivery.
- Scope client requirements end-to-end and identify opportunities for innovation using diverse data sources.
This is a hybrid position. Expectation of days in the office will be confirmed by your Hiring Manager.
QualificationsBasic Qualifications:
5+ years of relevant work experience with a Bachelor’s Degree or at least 2 years of work experience with an Advanced degree (e.g. Masters, MBA, JD, MD) or 0 years of work experience with a PhD, OR 8+ years of relevant work experience.
Preferred Qualifications:
5+ years of relevant work experience with a Bachelor’s Degree or at least 2 years of work experience with an Advanced degree (e.g. Masters, MBA, JD, MD) or 0 years of work experience with a PhD, OR 8+ years of relevant work experience.
Bachelor’s degree in a quantitative discipline such as Statistics, Mathematics, Operational Research, Computer Science, Economics, Engineering, or a related field from a top-tier institutions .A Master’s degree is preferred.
At least five years of experience conducting quantitative, data-driven analysis.
Demonstrated proficiency in Hive, SQL, Python, Spark, PowerPoint, Tableau and Excel.
Exceptional analytical skills with a proven ability to address complex business challenges using data-driven solutions.
Outstanding verbal and written communication skills, with the ability to convey complex information clearly and effectively.
Highly self-motivated, with a demonstrated capacity to manage multiple priorities simultaneously and advance projects independently.
Proven track record of full accountability for end-to-end deliverables, with minimal supervision required.
Willingness and ability to travel up to 20% or more as required by business needs.
Prior experience or exposure to the payments and/or banking industry.
Experience in consulting space or matrix team structure
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.
Top Skills
What We Do
Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid.
At Visa, you'll have the opportunity to create impact at scale — tackling meaningful challenges,
growing your skills and seeing your contributions impact lives around the world.
Join Visa and do work that matters – to you, to your community, and to the world.
Progress starts with you
For more information, visit visa.com/about, @LifeatVisa Instagram, and @VisaNews on X.
Why Work With Us
At Visa, every voice powers progress. We believe inclusion fuels innovation — and that unique perspectives create better outcomes for our teams, our business, and the world we serve. With more than 13K members across our Employee Resource Groups, you’ll find community, allyship, and opportunities to lead, learn and make an impact beyond your desk.
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