Cybersecurity Masters Intern

Company Description

Visa is a world leader in digital payments, facilitating more than 215 billion payments transactions between consumers, merchants, financial institutions and government entities across 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.

When you join Visa, you join a culture of purpose and belonging – where your growth is priority, your identity is embraced, and the work you do matters. We believe that economies that include everyone everywhere, uplift everyone everywhere. Your work will have a direct impact on billions of people around the world – helping unlock financial access to enable the future of money movement.

Join Visa: A Network Working for Everyone.

Job Description

Visa Cybersecurity Architecture & Product Engineering team is looking for interns focusing on the research and development of security analytics solutions.  As an intern you will work with Visa's world-class cybersecurity teams on emerging security challenges to deliver innovative security solutions and disruptive technologies. You will work on research and development activities with multiple security technologies and a global team of security experts to build technologies that protect billions of transactions happening all over the world.

Key responsibilities include:

• Learn about enterprise security technologies in Visa and across industries.

• Identify and research emerging security threats or challenges

• Research and develop analytics solutions for cybersecurity challenges, from conceptualization to POC to implementation.

• Conduct business and technical analysis, code reviews and unit testing, and implement and produce technical documentation of research solutions for new development and/or system enhancements

Key research topics include:

• Automated bot protection

• Account Take Over (ATO) protection

• Behavior-based identity assurance

• Biometrics

• Big data analytics and its application in threat detection, attack surface management, cyber incident response, and other cybersecurity challenges.

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.

Qualifications

Basic Qualifications
• Pursuing a Master in Computer Science, Computer Engineering, CIS/MIS, Data Science, Cybersecurity or a related field, graduating December 2023 or later
• Strong communications skills, specifically, the absence of repeated grammatical or typographical errors, clear and concise written and spoken communications, and communications that demonstrate professional judgment.

Preferred Qualifications
• Strong interest in cybersecurity
• Work experience and/or academic background in one of these areas : Computer security, AI/machine learning, Secure multi-party computing (MPC), Identity, and Authentication.
• Strong understanding of algorithms and data structures
• Strong hands-on coding skills with at least one of the following functional programming languages: Go (preferred), JavaScript, Python, Java, and C++
• Experience and/or academic background in working of large scale of distributed and hybrid system, and/or large datasets is a plus
• Knowledge and experience working on Single Page Applications development, RESTful services, SQL and NoSQL databases in agile environment is a plus
• Experience with web user behavior tracking and analysis is a plus
• Applicable for AI/machine learning area
o Experience and/or academic background building and designing big data solutions and AI/machine learning powered using modern big data and ML/AI technologies (Hadoop, Spark, Cloud, No-SQL, TensorFlow, H2O etc.) in an agile manner
o Hands-on experience and/or academic background developing systems for the machine learning lifecycle: data preprocessing and feature extraction, model training and evaluation, and deployment and monitoring
• Applicable for Non - AI/machine learning areas
o Hands-on experience and/or academic background in understanding of basic security concepts
o Familiarity with basic mobile application development (Android or iOS) is a plus.
o Familiarity with Golang is a plus.

Additional Information

Work Hours: Varies upon the needs of the department.

Travel Requirements: