Visa is a world leader in payments and technology, with over 259 billion payments transactions flowing safely between consumers, merchants, financial institutions, and government entities in more than 200 countries and territories each year. Our mission is to connect the world through the most innovative, convenient, reliable, and secure payments network, enabling individuals, businesses, and economies to thrive while driven by a common purpose – to uplift everyone, everywhere by being the best way to pay and be paid.
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Ecosystem Risk Programs is a Global Risk group that is tasked with the role of upholding the security and integrity of the payment ecosystem through the interdiction of illegal and fraudulent activity. This is achieved through the deployment of risk quality control and/or compliance programs. The programs are deployed through Visa Rules and additional client guidelines and Visa performs quality control leveraging proprietary tools, specialized third party vendors, regional risk teams, and other stakeholders. ERP also works with internal and external stakeholders to further its charter and initiatives.
This position is ideal for an experienced Data Analytics and Reporting SME who is passionate about collaborating with business and technology partners in solving challenging problems involving illegal and fraudulent activity. You will be a key driver in the effort to define the shared strategic vision for the Ecosystem Risk Programs platform and defining tools and services that safeguard Visa’s payment systems.
The right candidate will possess strong ML and Data Science background, with demonstrated experience in building, training, implementing and optimized advanced AI models for payments, risk or fraud prevention products that created business value and delivered impact within the payments or payments risk domain or have experience building AI/ML solutions for similar industries. The candidate should be proficient in performing detailed analyses and deep-dive investigations on large volumes of data.
A successful candidate is a technical SME who can think broadly about Visa’s business and drive solutions that will enhance the safety and integrity of Visa’s payment ecosystem. The candidate will help deliver innovative insights to Visa's strategic products and business. 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 data science and software engineering skills. The candidate will be a self-starter comfortable with ambiguity, with strong attention to detail, and excellent collaboration skills.
Essential Functions
Basic Qualifications:
Preferred Qualifications:
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.