Product Analyst Identity Graph

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 networkagnostic 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 360degree view of all the individuals who interact with the ecosystem and empower multiple use cases in the identityenabled fraud detection space. This role will focus on data exploration and research to drive requirements for Visas 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 23 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 :

Basic Qualifications
6 years of relevant work experience and a bachelors degree in computer
science or mathematics

Preferred Qualifications
6 or more years of work experience with a bachelors degree or 5 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 problemsolving skills with a
knack for making datadriven 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 largescale datasets. Know the basics of realtime
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 fastpaced environment
Attention to detail

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.

Remote Work :

No

Employment Type :

Fulltime