Job Description

Company Description

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.


Make an impact with a purpose-driven industry leader. Join us today and experience Life at Visa.

As a Sr. Manager, you will report to the Director of A2A Risk & Machine Learning Payment Products and partner closely with the VP Product, VP Risk, Head of Data Science, and other product leaders to shape the Risk/ML product strategy and roadmap of Visa's A2A payments and open banking products in North America. You will build world-class risk products for A2A payments to execute on Visa's 2030 strategy and bring it to life. The right candidate will have a strong background in data science and machine learning, with demonstrated experience in building high-performing data platforms, ideally for payments risk and open banking.


A successful candidate is a leader with the ability to engage in conversations with business and technology partners and be able to think broadly about Visa's business and drive solutions that will enhance the safety and integrity of Visa's account to account payment ecosystem. This role represents an exciting opportunity to make key contributions to a strategic offering for Visa. The candidate will be comfortable with ambiguity, with strong attention to detail, and excellent collaboration skills. To be successful in this role, you need to be a self-starter, highly organized, and have a deep understanding of data management processes, as well as the data science and machine learning life cycles, and how these fit within the overarching product development. You will need to be able to collaborate with a team of top-tier data scientists, data engineers, software engineers and product managers.


Responsibilities:

Drive the key initiatives and improvements together with the Director of A2A Risk & Machine Learning Payment Products, data science and engineering teams to build a best-in-class data platform to meaningfully reduce the loss exposure of the business, maximize approval rates, and create a seamless user experience Partner with other product teams, technology, sales, marketing, finance and other functions to identify and execute on key risk initiatives to limit our exposure to fraud and settlement risk Understand the broad set of Visa's fraud, risk, data science, and machine learning capabilities and products and identify opportunities for collaboration and creating unique advantages Define detailed product requirements and be the product lead for the risk engineering team to execute on the roadmap Build strong relationships with key stakeholders internally and externally to execute with excellence and align closely with Visa's risk team

This is a hybrid position. Expectation of days in office will be confirmed by your hiring manager.

Qualifications

Basic Qualifications:

8 or more years of relevant work experience with a Bachelor Degree or at least 5 years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD)


Preferred Qualifications:

8 or more years' experience in data or product management, with 4 or more years' experience in building data platforms working closely with engineering, analytics, operations, or data science teams Hands-on experience building high-performing data platforms from the ground up with a proven track record of successful business impact at scale Experience developing and implementing products and infrastructure that empower data scientists to utilize advanced machine learning techniques Proven track record partnering with architects to design decisioning systems that can operate at scale, under high peak load with minimal latency Demonstrated track record of hitting OKRs Prior experience in open banking, risk management, data science, machine learning in the payments space is a plus In-depth knowledge of payment products, rails, and functionality including the associated risks in North America (ACH, RTP, FedNow, EFT, etc.) is a plus Experience in working with agile lifecycle and/or tracking and process management tools, e.g., JIRA Ability to fully understand technical architecture, APIs and overall system design Ability to thrive in a fast-paced, dynamic environment and manage multiple priorities

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.