Product Analyst, Identity Graph
Bangalore, INDIA, India
Visa
Visa digitaalinen ja mobiilimaksuverkko on eturintamassa uusien maksujen, sähköisten ja kontaktivarojen maksutekniikan, jotka muodostavat rahan maailmanCompany Description
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 Description
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 closely with engineering, data science 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
- Build data cleansing & standardization algorithms to organize the data
- Build identity resolution and assurance levels using advanced graph algorithm
- Do exploratory data analysis to understand new data sources
- 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
- Collaborate with fellow product analysts to develop business case and revenue forecasts for your product.
This is a hybrid position. Expectation of days in office will be confirmed by your Hiring Manager.
Qualifications
Basic Qualifications:
6+ years of relevant work experience and a bachelor’s degree in computer science or mathematics
Preferred Qualifications:
6 or more years of work experience with a bachelor’s 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 problem-solving skills, with a knack for making data-driven decisions.
Coding and Technical Skills: Proficient in writing, testing, and maintaining high- quality code using SQL and/or Python.
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
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.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: API Development APIs Computer Science Data analysis EDA Engineering Feature engineering Machine Learning Mathematics Python Research SQL Testing
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