Analyst, Data Science @ Visa

• Identify innovation opportunities around data and data-related processes that will help our clients implement fact-based decisioning processes within their cards and payments program
• Work entails heavy focus on transaction data modelling and analytics for cards and payments products Work with a broader team that consists of Business Managers, Consultants and Data Scientists from both Visa and client organizations to strategies, co-create, deploy, and reap the benefits of data-driven solutions.
• Work with regional and global Data Science teams to develop high-quality analytic products and solutions that promote Visa s growth in the region.
• Keep Visa at the forefront of technological advancement in Data Science by introducing cutting-edge tools and techniques for generating business insights
• Develop next-generation analytic methods where existing tools and techniques are inadequate to address business challenges
• Review, direct, guide, and inspire the analytical work of junior members in the team
• Collaborate with internal Technology partners and Data Engineering function to best leverage Visa s internal technology platforms, data, and the broader Visa ecosystem to support our clients technical data needs
• Manage workload for self and any direct reports, providing prioritization guidance for project flow to improve process efficiency.
• Manage and grow talent within the team.
• Develop, share, and build global best practices and knowledge management within the team
• Socialize innovative ideas and approaches that are scalable and have market demand
• Champion internal requirements around Model Risk Management, Visa Analytics Rules, and Global Privacy standards around client delivery to ensure that Visa s highly regarded market standing is maintained

Basic Qualifications
2+ years of relevant work experience and a Bachelors degree, OR 5+ years of relevant work experience Preferred Qualifications
3 or more years of work experience with a Bachelor s Degree or more than 2 years of work experience with an Advanced Degree (e.g. Masters, MBA, JD, MD)
Minimum of 4+ years of expertise in applying Machine Learning solutions to business problems - model development and production experience required. Working knowledge of GENAI algorithms and packages is mandatory
Post-graduate degree (Masters or PhD) in a quantitative field such as Statistics, Mathematics, Data Science, Operational Research, Computer Science, Informatics, Economics, or Engineering
Experience working in one or more of the Card & Payments markets around the globe with specific responsibilities in payments, retail banking, or retail merchant industries
Good understanding of Payments and the Banking industry, including card verticals such as consumer credit, consumer debit, prepaid, small business, commercial and co-branded product
Expert knowledge of data, market intelligence, business intelligence, and AI-driven tools and technologies, with demonstrated ability to incorporate new techniques to solve business problems
Proven ability to deliver results within committed scope, timeline, and budget