Visa

Director of Fraud Risk at Visa, responsible for leading and delivering fraud risk advisory engagements, developing data-driven fraud risk solutions (authorization, prediction, scoring), and expanding fraud risk managed services. Requires strong analytical experience, proficiency in statistical techniques and data analytics tools, and experience in fraud risk analytics and the banking/consumer lending industry.

Lead Data Scientist at Visa, focusing on AI/ML for payment solutions. The role involves defining, building, and testing AI-powered products at scale, driving efficiencies, and ensuring operational excellence within a regulated fintech environment. Responsibilities include technical leadership, mentoring, data wrangling, complex modeling, and advising on technical specifications to shape the future of digital payments.

Visa is seeking a Data Scientist to join their Global Data Science group. The role focuses on leveraging Visa's extensive transaction data to build creative solutions and drive business outcomes for partners and internal units. Responsibilities include developing custom data models, predictive modeling for customer experiences and revenue optimization, and deploying machine learning models at scale within the fintech domain. The role requires strong analytical, programming (Python, SQL), and communication skills, with experience in big-data technologies and ML model deployment.

Visa is seeking a Vice President, Clearing to provide executive ownership for critical, regulator-visible components of VisaNet. This role will define and execute a multi-year GenAI and automation transformation strategy for Clearing platforms, aiming to improve platform quality, operational resilience, and execution speed through applications like predictive incident detection and intelligent exception handling. The VP will also lead modernization efforts, ensure regulatory compliance, and manage a large, globally distributed engineering organization.

Visa is seeking a Senior Data Scientist to join their Global Data Science group. This role will focus on building creative solutions using Visa's rich transaction data to solve meaningful business problems for commercial partners. The position involves using LLM-based systems, developing custom data models and algorithms, and creating robust, scalable AI/ML solutions and products for a production environment. The ideal candidate will have extensive experience in data-based decision-making, AI/ML model development, and working with LLMs.

Senior Engineering Manager to lead a team in Visa's Open Banking division, focusing on an AI-first approach to software development. The role requires hands-on experience with Generative AI tools and methodologies to accelerate delivery and maintain engineering excellence, leading teams in designing, coding, testing, and deploying innovative Open Banking solutions.

Visa is seeking a Sr. Data Scientist in Washington, DC to build and use predictive models for customer experiences, revenue generation, and advertising targeting. The role involves managing client relationships, providing technical leadership, applying data science techniques to unique datasets, and developing scalable products. Responsibilities include data workflow orchestration, statistical hypothesis testing, data visualization, leading projects from scoping to delivery, and mentoring junior team members. Requires experience with large datasets, ML model development, data automation (MLOps), statistical testing, and communication with non-technical stakeholders. Experience in the payments landscape is also required.