About this role
About Us
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.
Job Description
Job Summary
The Portfolio Specialist at the Analyst / Team Lead level is responsible for solving complex business problems using advanced data science techniques, AI/ML models, and data-driven frameworks. This role develops and executes a vision for data science capabilities, leading the design and development of large-scale systems and fostering innovation within the team. The Data Scientist collaborates closely with cross-functional teams to integrate data science solutions, communicates technical concepts to stakeholders, and influences business decisions with actionable insights.
All roles require digital fluency, including the ability to work with emerging technologies such as Generative AI tools (e.g. ChatGPT, Microsoft Copilot) to support everyday work.
Key Responsibilities
- Solve complex business problems using advanced data science techniques, AI/ML models, and frameworks.
- Data analysis, Portfolio analysis
- Develop and execute a vision for data science capabilities aligned with business goals.
- Lead the design and development of large-scale data science systems and foster innovation within the team.
- Apply advanced data science techniques and models to drive business impact and stay up-to-date with industry trends.
- Collaborate with cross-functional teams to integrate data science capabilities and communicate complex technical concepts to stakeholders.
- Develop and maintain expertise in multiple programming languages and data science tools.
- Identify opportunities for data science to drive business impact and present results to senior leadership and business partners.
Visa requires at least 3 days in office, expectations of these days will be confirmed by your Hiring Manager.
Qualifications
Basic Qualifications
Education
- Bachelor's degree in Business Administration, Finance, Economics, Marketing, Statistics, Engineering, or a related field.
Experience
- 2-5 years of experience in portfolio management, business analysis, consulting, banking, payments, customer analytics, or related fields.
- Experience supporting financial services, retail banking, cards, payments, loyalty, or customer engagement initiatives is preferred.
- Experience working in a client-facing environment is an advantage.
Technical Skills
- Advanced Microsoft Excel skills.
- Strong analytical and reporting capabilities.
- Experience working with large datasets and business reports.
- Experience with Power BI, Tableau, or similar reporting tools is preferred.
- Ability to prepare executive-level presentations using PowerPoint.
Business Skills
- Strong analytical and problem-solving skills.
- Excellent communication and presentation capabilities.
- Strong stakeholder management abilities.
- Ability to work independently and manage multiple priorities.
- Attention to detail and commitment to quality.
Preferred Qualifications
- Experience in card portfolio management or payments industry.
- Experience supporting customer campaigns or marketing initiatives.
- Knowledge of consumer banking products, cards, lending, or digital payments.
- Consulting experience or exposure to strategy and transformation projects.
- Experience working directly with clients and senior stakeholders.
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.