Visa's position as one of the world's largest payment network enables us to serve billions of consumers and tens of millions of merchants around the world on a daily basis. Our mission at the data analytics team is to unlock the hidden value in this massive amount of high-quality financial data, and develop a powerful commerce intelligence engine to drive innovations 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 and help them grow their business. 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.
- Deep learning for commerce – develop predictive models that are utilized by many parties in the payment and commerce ecosystem using advanced deep learning technologies.
- Scalable machine learning system – experiment with new generations of distributed systems for machine learning applications to meet the challenge of ever increasing scale and complexity in the data processing pipeline.
- Security analytics – enable proactive defense in our critical network and system infrastructure through continuous monitoring and real-time anomaly detection using machine learning technologies.