Job Description And Responsibilities

Payments are a very exciting and fast-developing area with a lot of new and innovative ideas coming to market. With strong demand for new solutions in this space, it promises to be an exciting area of innovation. VISA is a strong leader in the payment industry and is rapidly transitioning into a technology company with significant investments in this area.

If you want to be in the exciting payment space, learn fast and make big impacts, Ecosystem & Operation Risk technology which is part of Visa’s Value-Added Services business unit is an ideal place for you!

In Ecosystem & Operation Risk group, Payment Fraud Disruption team is responsible for building critical risk and fraud detection and prevention applications and services at Visa. This includes idea generation, architecture, design, development, and testing of products, applications, and services that provide Visa clients with solutions to detect, prevent, and mitigate fraud for Visa and Visa client payment systems.

This position is ideal for an experienced software engineer who is passionate about collaborating with business and technology partners in solving challenging fraud prevention problems. You will be a key driver in the effort to define the shared strategic vision for the Payment Fraud Disruption platform and defining tools and services that safeguard Visa’s payment systems.

The right candidate will possess strong software engineering background, with demonstrated experience in driving technical design for products and services that have created business value and delivered impact within the payments or payments risk domain or similar industries. This role represents an exciting opportunity to make key contributions to strategic offering for Visa. This candidate needs to have strong academic track record and be able to demonstrate excellent software engineering skills. The candidate will be a self-starter comfortable with ambiguity, with strong attention to detail, and excellent collaboration skills.

The ideal candidate will bring the excitement and passion to leverage Generative AI to advance existing fraud detection mechanisms and to innovate and solve new fraud use cases. This engineer will use code generation capabilities like GitHub copilot to drive efficiencies in software development.

Essential Functions

As a Senior Software Engineer, you will help design, enhance, and build next generation fraud detection platforms in an agile development environment.

You will play part of multiple teams tasked with projects ranging from full stack development, Rest based APIs, Container based services to highly functional, secure, scalable, and resilient systems.

You will lead teams / projects functionally and will be responsible for delivering to Ecosystem and Operation Risk roadmap commitments.

Contribute to release planning exercise, assign, and track work of team members to timely releases.

Responsibilities include technical analysis and creation of conceptual approach.

Develop code that complies with design specifications and meets security and Java best practices.

Coding must adhere security standards, be easily maintainable and be high performant.

Set Coding standards and best practices for the teams’ deliverables.

Evaluate options and provide recommendation on scope and scale of effort required to implement final requirements.

Participate in design and code review sessions as appropriate to ensure the quality of work delivered by self and teammates are in accordance with development standards.

Collaborate with business partners on requirements elaboration, design, configuration, and business re-engineering.

Present technical solutions, capabilities, considerations, and features in business terms. Effectively communicate status, issues, and risks in a precise and timely manner.

This is a hybrid position. Hybrid employees can alternate time between both remote and office. Employees in hybrid roles are expected to work from the office 2-3 set days a week (determined by leadership / site), with a general guidepost of being in the office 50% or more of the time based on business needs.

Qualifications

Basic Qualifications :

• 2+ years of relevant work experience and a Bachelors degree, OR 5+ years of relevant work experience

Preferred Qualifications :

Additional Information

Visa is an EEO Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.