Common Purpose, Uncommon Opportunity. Everyone at Visa works with one goal in mind – making sure that Visa is the best way to pay and be paid, for everyone everywhere. This is our global vision and the common purpose that unites the entire Visa team. As a global payments technology company, tech is at the heart of what we do: Our VisaNet network processes over 13,000 transactions per second for people and businesses around the world, enabling them to use digital currency instead of cash and checks. We are also global advocates for financial inclusion, working with partners around the world to help those who lack access to financial services join the global economy. Visa’s sponsorships, including the Olympics and FIFA™ World Cup, celebrate teamwork, diversity, and excellence throughout the world. If you have a passion to make a difference in the lives of people around the world, Visa offers an uncommon opportunity to build a strong, thriving career. Visa is fueled by our team of talented employees who continuously raise the bar on delivering the convenience and security of digital currency to people all over the world. Join our team and find out how Visa is everywhere you want to be.

“Visa will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of Article 49 of the San Francisco Police Code.”

Visa Research is a newly created research organization as part of the company's effort on expanding its technology research capabilities globally.

Visa Research conducts both applied and fundamental research. It engages with the company's technology and product teams, business partners, academics, and governments, to explore and develop technologies that are critical to the payments industry in the future.

Visa Research currently focuses on building research teams in three key areas: Data Analytics, Security, and Future of Payment. We are looking for outstanding researchers and engineers at all levels of experience as part of the founding team in the Data Analytics area, reporting to the Head of Data Analytics.

Data Analytics

Our mission at the Data Analytics team is to unlock the hidden value in these massive high-quality financial data, and decode the language of transactions to drive innovation in the payment industry and beyond. We conduct applied research in machine learning and related fields to deliver unique insights and capabilities to our partners and clients to help them grow their businesses. Our research areas include deep learning applications in financial data, supervised and unsupervised representation learning, predictive modeling for fraud and risk management, consumer behavior modeling, recommendation systems, scalable machine learning systems, privacy preserving data analytics, and related fields.

Security

Visa Research’s goal of security is to enable policy-enforced, full lifecycle protection for data at rest, in transit and during computation for all payment-related scenarios. We accomplish this through fundamental and applied research in three areas:

• Advances in Cryptography

• Secure Computing

• Secure Data Acquisition and Analysis

Blockchain

Our Blockchain research focuses on understanding the fundamentals of cryptocurrencies and Blockchain technology. We explore ways to advance the science of Blockchain technology and enable the discovery of real-world payment.  We collaborate with top universities and the world’s leading Blockchain researchers to develop technologies that promise to transform the financial industry in the decade ahead.

• Recently completed or soon to be completed PhD study in Computer Science, Electrical Engineering, Statistics and related field

• Strong track record in research publications and impact in the research community.

• Strong verbal and written communication skills.

• Demonstrated ability to think outside the box and innovate.

• Experience in payments or related industry is desire

• Data Analytics: Proficiency with object oriented programming languages, such as C++, Java, Python, and Lua. Experience with large scale data processing using Hadoop and MapReduce.

• Security: Experience in one or more of the following areas: mobile and distributed systems/cloud computing security, protocols and network security, cryptography and cryptanalysis, payments and cryptocurrencies, data and application security, malware and program analysis, user and data privacy, assurance and formal methods, and related fields.

• Blockchain: Research experience in Cryptocurrencies, Blockchain, Distributed Database, In-memory Database, data security algorithms. Proficiency with object oriented programming languages, such as Go, Haskell, Scala, Java and Python.

Visa will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of Article 49 of the San Francisco Police Code.