Visa and its subsidiary companies have Identity, Authorization and Fraud data in multiple systems built and acquired over the years. These rich datasets when appropriately mined via Machine Learning/Artificial Intelligence, will provide network-agnostic tools to improve authorization rates for our merchants and partners in the ecosystem.  Identity Graph brings these internal datasets & relevant external data together to build a holistic 360-degree view of all the individuals who interact with the ecosystem and empower multiple use cases in the identity-enabled fraud detection space. This role will focus on data exploration and research to drive requirements for Visa’s Identity Graph, working with a globally distributed team to do so.  

The Product Analyst will work directly with engineering, design and other Visa product teams to understand the data available across the sources. The ideal candidate should be able to quickly come up to speed on the data available within Visa and externally and be able to think critically and strategically about how to bring it together in way that empowers a holistic view of the individuals. They will be required to work directly with technical teams, business teams, and partners, therefore should be comfortable adapting their communication style appropriately for their audience. They will be responsible for developing data driven analyses to drive the product vision and strategy.
Responsibilities
•    Work on data exploration strategies to drive product requirements 
•    Work on building the right set of metrics that needs to be tracked for product health
•    Analytical research on how Identity Graph can add value to various use cases and simulate the results
•    Work with stakeholders across various geographical regions, Visa product teams, and functions
•    Provide subject matter expertise for internal, client, and partner sales efforts
•    Collaborate with fellow product analysts to develop business case and revenue forecasts for your product 

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.

Basic Qualifications
•5+ years of relevant work experience and a bachelor’s degree in computer
science or mathematics

Preferred Qualifications
•5 or more years of work experience with a bachelor’s degree or 8-10 years of
experience with an Advanced Degree (e.g. Masters, MBA, JD, MD)
•Organized and structured in thinking and approach to work
•Excellent verbal and written communication skills (English Language),
attention to detail and interpersonal skills
•Critical Thinking: Exceptional analytical and problem-solving skills, with a
knack for making data-driven decisions.
•Coding and Technical Skills: Proficient in writing, testing, and maintaining high-
quality code.
•Data Science and API Development: Understand data preprocessing, feature
engineering, and handling large-scale datasets. Know the basics of real-time
AI applications and designing RESTful APIs.
•Ability to work independently with strong time management and ability to
execute on multiple concurrent deliverables
•Works well with people of varying backgrounds, expertise levels and
personalities, and builds partnerships
•Exercises good judgment, knows when/whom to ask for guidance, and when to
make independent decisions
•Can perform under pressure in fast-paced environment
•Attention to detail

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.