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The Senior Software Engineer will be responsible for developing end-to-end solutions for client integration and digitization of commerce, focusing on Visa's products. The role involves problem solving, troubleshooting, and mentoring junior engineers, with expectations to work independently on multiple tasks within a hybrid work environment.

As a Senior Manager, SW Engineering at Visa, you will lead the application development team, focusing on creating innovative payment solutions. You’ll collaborate with various teams to analyze business needs, manage project portfolios, and ensure quality delivery while fostering a team culture built on trust and respect. Your role will involve hands-on coding and enhancing existing B2B applications, aiming for security, maintainability, and performance.

The Consulting Manager will lead Risk practice engagements focusing on Operational and Strategic Credit Risk, providing insights and strategies for fraud prevention and credit underwriting. Responsibilities include relationship management with client Risk Managers and developing data-driven solutions to enhance business performance in the payments sector.

The Client Consulting Manager at Visa drives consulting engagements for financial institutions in Japan, focusing on growth and profitability in payments. Responsibilities include client interaction, data analysis, presentation development, and implementing recommendations. The role demands collaboration with various teams to leverage data analytics and industry best practices.

The Sales Manager will oversee the sale of payment-related services, focusing on client needs and solutions within the payments ecosystem, while collaborating with various teams. Key responsibilities include client outreach, solution development, technical support, and promoting Visa's value-based sales approach.

Lead a team of engineers in developing high-performing distributed systems, collaborating with architects to design reliable software solutions, driving professional growth, and leveraging GenAI to enhance team productivity while meeting project deadlines.

As a Middle Data Scientist, you will lead analytics-driven strategies, collaborating with various teams to implement solutions that enhance business performance. Responsibilities include managing descriptive, predictive, and prescriptive analytics projects while supporting internal and external clients, working with big data techniques and machine learning models.