If you come from a consulting and/or data science background and are looking to join a start-up culture, have the opportunity to take a product from ideation all the way through to a live service, work with the best-in-field ML experts on contemporary AI methods, all while working directly with clients and keeping a focus on delivery – this is the role for you.
Economies around the globe are moving towards Real Time Payments (RTP), bringing substantial innovation and modernization to payments. There is an increasing demand for the provision of real-time payment services across every region of the world, adding trillions of dollars in payments volume globally on an annual basis. To drive successful adoption, RTP infrastructures are supported by value added services across the entire payments value chain and all use cases – this is where Visa comes in.
You will join the A2A Risk Solutions product team, who design and build state of the art advanced AI products to help Financial Institutions detect and prevent fraud & scams in real-time payments, using contemporary techniques such as Deep Learning, Network Graph Analytics and Scalable ML.
The A2A Risk Solutions offering marks a key strategic growth pillar for Visa globally as part of our strategy to address rising market demand to support new and emerging payment flows.
The A2A Risk Solutions product team functions as an incubated start-up, taking ideas through the entire product lifespan from concept to market, all while leveraging Visa’s global infrastructure, technology, and experience as a leader in global payments.
The Product Analyst will be responsible for leading the rapid design and build of our cutting-edge AI products. You will work closely alongside Visa Research, Visa’s San Francisco based machine learning and data engineering R&D specialists, to incorporate the most advanced AI techniques to build out the service.
As well as working on product development, the Product Analyst will take a lead role in commercializing the service and activating markets across the globe. This includes the delivery of client pitches and demos, fostering client relationships, and the delivery of Pilot stage projects with prospective clients to test and demonstrate the value of the service and prepare the client for progression to a live service.
What you’ll do?
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.
Basic Qualifications
• 2+ years of relevant work experience and a Bachelors degree, OR 5+ years of relevant work experience
Preferred Qualifications
• 3 or more years of work experience with a Bachelor’s Degree or more than 2 years of work experience with an Advanced Degree (e.g. Masters, MBA, JD, MD)
• Strong background in Consulting programs (and/or Product Management) for Advanced Analytics products in Financial Services, encompassing both client facing and delivery focused experience (min. 3+ years).
• Experience working in Financial Crime and/or Payments within the Financial Services industry.
• Proven record of accomplishment of success in fast-paced, agile environments with demanding timelines.
• Extensive experience in designing and taking products to market that use complex modelling techniques (inc. AI/ML).
• Experience in management and requirement provision for remote data science teams focused on AI/ML.
• Passion for innovating and delivering truly differentiated products & user experiences.
• Excellent interpersonal skills with demonstrated ability to interface across levels, regions, cultures, and languages, and engage successfully with both specialist teams and broader business partners.
• Strong ability to consume complex data and information, develop insights and create impactful stories.
• Ability to contribute to strategic planning, drive change management.
• Ability to lead executive messaging.
The successful execution of this role will be achieved through a combination of leadership, technology/product knowledge, innovation, passion for customers, and applied strategy. As well as a positive contribution to Visa’s rapidly expanding payments products and services offerings.
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.
