Senior Data and BI engineer

About this role

About Us Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid. At Visa, you'll have the opportunity to create impact at scale — tackling meaningful challenges, growing your skills and seeing your contributions impact lives around the world. Join Visa and do work that matters – to you, to your community, and to the world

Progress starts with you. Job Description Team Summary The Risk and Identity Solutions (RaIS) team provides risk management services for banks, merchants, and other payment networks. Machine learning and AI models are the heart of the real-time insights used by our clients to manage risk

Created by the Predictive Fraud Intelligence (PFI) team, continual improvement and efficient deployment of these models is essential for our future success. To support our rapidly growing suite of predictive models we are looking for engineers who are passionate about managing large volumes of data, creating efficient, automated processes and standardizing ML/AI tools. This is a great opportunity to work with a new Engineering and MLOps team to scale and structure large scale data engineering and ML/AI that drives significant revenue for Visa

As a member of the Risk and Identify Solutions modeling organization (PFI), your role will involve developing and implementing practices that will allow deployment of machine learning models in large data science projects. Essential functions Team members working for this role deploy, manage, and optimize data pipelines and machine learning models in production environments, ensuring smooth integration and efficient operations. The team also takes a data scientist’s model and make it accessible to the software that utilizes it

The essential functions of this role include: ETL processes: The role als

Apply for this role on Visa’s official careers site.