National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Senior Product Manager - Machine Learning, Real-Time Payments Risk AI & Analytics

VISA
London
1 year ago
Applications closed

Related Jobs

View all jobs

Senior Software Developer

Data Science Manager

Senior Data Scientist

Senior Computer Vision Engineer

Senior Machine Learning Engineer

Software Developer

Job Description And Responsibilities

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 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 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 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 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?

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.

Lead client Pilot delivery 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.

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

Strong background in Consulting programmes (and/or Product Management) for Advanced Analytics products in Financial Services, encompassing both client facing and delivery focussed experience  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.

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.

National AI Awards 2025

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

How to Get a Better AI Job After a Lay-Off or Redundancy

Being made redundant or laid off can feel like the rug has been pulled from under you. Whether part of a wider company restructuring, budget cuts, or market shifts in tech, many skilled professionals in the AI industry have recently found themselves unexpectedly jobless. But while redundancy brings immediate financial and emotional stress, it can also be a powerful catalyst for career growth. In the fast-evolving field of artificial intelligence, where new roles and specialisms emerge constantly, bouncing back stronger is not only possible—it’s likely. In this guide, we’ll walk you through a step-by-step action plan for turning redundancy into your next big opportunity. From managing the shock to targeting better AI jobs, updating your CV, and approaching recruiters the smart way, we’ll help you move from setback to comeback.

AI Jobs Salary Calculator 2025: Work Out Your Market Value in Seconds

Why your 2024 salary data is already outdated “Am I being paid what I’m worth?” It is the question that creeps in whenever you update your CV, see a former colleague announce a punchy pay rise on LinkedIn, or notice a recruiter slide into your inbox with a role that looks eerily similar to your current one—only advertised at £20k more. Artificial intelligence moves faster than any other hiring market. New frameworks are open‑sourced overnight, venture capital floods specific niches without warning, & entire job titles—Prompt Engineer, LLM Ops Specialist—appear in the time it takes most industries to schedule a meeting. In that environment, salary guides published only a year ago already look like historical curiosities. To give AI professionals an up‑to‑the‑minute benchmark, ArtificialIntelligenceJobs.co.uk has built a simple yet powerful salary‑calculation formula. By combining three variables—role, UK region, & seniority—you can estimate a realistic 2025 salary band in less than a minute. This article explains that formula, unpacks the latest trends driving pay, & offers concrete steps to boost your personal market value over the next 90 days.

How to Present AI Models to Non-Technical Audiences: A Public Speaking Guide for Job Seekers

In today’s competitive job market, AI professionals are expected to do more than just build brilliant algorithms—they must also explain them clearly to stakeholders who may have no technical background. Whether you're applying for a role as a machine learning engineer, data scientist, or AI consultant, your ability to articulate complex models in simple terms is fast becoming one of the most valued soft skills in interviews and on the job. This guide will help you master the art of public speaking for AI roles, offering tips on structuring presentations, designing effective slides, and using storytelling to make your work resonate with any audience.