Senior Product Manager - Fraud & Machine Learning

Visa is a world leader in digital payments, facilitating more than 215 billion payments transactions between consumers, merchants, financial institutions and government entities across 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.

When you join Visa, you join a culture of purpose and belonging – where your growth is priority, your identity is embraced, and the work you do matters. We believe that economies that include everyone everywhere, uplift everyone everywhere. Your work will have a direct impact on billions of people around the world – helping unlock financial access to enable the future of money movement.

Join Visa: A Network Working for Everyone.

Economies around the globe are moving towards Real Time Payments (RTP), bringing substantial innovation and modernization to payments, alongside open banking and crypto.

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 RTP Risk Analytics 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 RTP Risk Analytics 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 RTP Risk Analytics 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 Manager will be responsible for leading the rapid design and build of our cutting-edge analytics 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 Manager will take a lead role in commercialising the service and activating markets across the globe. This includes the delivery of client pitches and demos, fostering client relationships, and the delivery of Proof-of-Concept (POC) stage projects with prospective clients to test and demonstrate the value of the service and prepare the client for progression to a live service.

If you come from a consulting 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!

What we expect you to do, day to day.

• Lead the design and execution of the RTP Risk Analytics product suite including:
  • Managing end-to-end execution of new product development (Inception > POC > MVP > Live)
  • Participating and providing business input to the AI design and technology discussions.
  • Leading and collaborating with teams across Visa to align RTP Risk Analytics with Visa Global strategy, product suite, and processes.
  • Working with Product, Research, Engineering, UX teams, and others to define product goals and deliver key features.
  • Participating and providing business input to the Data Science & AI design and technology discussions.
• Lead client Proof-of-Concept phases, including:
  • Managing and planning the phase of work
  • Working closely with the data science teams to deliver successful results
  • Presenting findings and results back to clients
• Lead product commercialisation efforts, including:
  • Delivering client pitches and demos
  • Progressing opportunities into client demand
  • Maintaining local market relationships
• Take a creative and Design Thinking approach to develop innovative solutions to industry challenges.
• Build and manage the team as needed to deliver Products.
• Play an instrumental role in the RTP Risk Analytics team, actively participating in the overall strategy design, commercialization, and execution of Risk Analytics products.
• Become go-to-person for Advanced Analytics Products in the Financial Crime/RTP function. Represent the product and product strategy.

• Strong background in Consulting programmes (and/or Product Management) for Advanced Analytics products in Financial Services; encompassing both client facing and delivery focussed experience (min. 6+ 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.
• 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 will consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.