Senior Network Product Analyst

Visa
London
1 year ago
Applications closed

Related Jobs

View all jobs

Senior Data Scientist

Senior Data Analyst

Senior Data Scientist, Surfline Coastal Intelligence

Senior Data Scientist, Surfline Coastal Intelligence

Senior Data Scientist

Staff Data Engineer London / Remote

Job Description

What’s it all about?

This is a Business and Product analysis role focusing on designing the “Send to Wallet” Network solution capabilities and services, supporting and completing key service integration activities, gathering, and interpreting business requirements, and identifying and building improvements to our Payments Network Product platform, as well as supporting Product and Delivery teams.

The Visa Payments Network Product team key activities are related to integration and delivery ofPartner implementations(onboarding, enhancements, remediation) andnew Product featuresdevelopment, to achieve global reach and global settlement forWalletcross border transactions andbest in class Payment capabilitiesfor our clients.

What we may expect of you, day to day.

  • Be a key voice in shaping and maintaining best practices for our Payments Network, including payload design, logical data modelling, implementation, metadata, and testing guidelines.
  • Business analysis for development of robust data models downstream of backend services, to support Network Partner onboarding, internal reporting, machine learning, large language models, as well as Payment metadata and Validation use cases.
  • Lead best practice analysis of payment message specifications, rules, payment data mapping, behaviours and capabilities across multiple payment schemes and financial institutions, onto the Network Platform, contributing to the design and scalability of API services and that measure the performance of our Network product suite.
  • Collaboratively set standards and work with data across Visa, fostering knowledge sharing and continuously improving data practices
  • Gather and refine requirements for Payment Network partner integrations based on specific network partner considerations and client demand by creating, and leveraging templates to standardise the Network Platform, including Partner Network UI/UX Platform (activities outlined in the Payments Network Product handbook).
  • Conduct user research to gather insights on user behaviour and preferences in relation to Payments Network frontend platform usability and user experience.
  • Support the standardisation of non-card (Account and Wallet) Payment Network across multiple markets and countries.
  • Enhance Network Platform to sustain standardised API services, including connectivity, validations, field mapping, and new Network Product components where relevant.
  • Scope, build and lead through others the re-architecture of Payments Network domain across Product and Operations (including data about Partners, payment schemes and mobile wallets we are connected to, data about demands and preferences of our customers from the Payments Network)
  • Attend workshops with Network Partners, Operations, Technology, and other relevant Stakeholders within the payments product chain to discuss and resolve any gaps or issues identified within the analysis to minimise deviations in the specifications.
  • Present complex and critical network feature demos to relevant stakeholders.
  • Participate in Agile / Scaled Agile ceremonies such as sprint planning, daily stand-ups, sprint demos.
  • Support product owners with backlog grooming and refinement.

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

  • You have demonstrable experience across multiple systems and project types within the financial services / payments industry, ideally in cross border payments, with a good understanding of payment message standards and rules, payment schemes incl. mobile wallets, payment processing technologies and regulations.
  • You have good technical understanding of web applications and APIs including swagger, XML, JSON schemas, to help the team integrate with other providers and to design our technical system in the best way.
  • You have an eye for UI/UX (strong sense of UX and attention to UI details). Design skills are a clear desired bonus.
  • You have strong knowledge of MS-Office products specifically Excel, Project Visio.
  • You have demonstrable ability to create and customize pivot tables to summarize and analyse large datasets, interpret data, identify trends, and draw meaningful insights.
  • You have strong problem-solving skills to address data-related issues and optimize data processes.
  • You have proven experience working in an Agile methodology environment (i.e. SCRUM). Scaled agile methodology knowledge is a desired bonus.
  • You can use different data points, both qualitative and quantitative, to identify, diagnose and prioritise problems and opportunities to solve them.
  • You’re hands on, and you’d do everything you can to make the team and the product successful. You get it done.
  • You are self-driven, you deal well with ambiguity, you are constantly curious about our industry, technology, and the world and you can help pave the way for things that have not been done before.
  • You enjoy working with cross functional fast-moving teams, are passionate about collaboration and serving our customers.
  • You are committed to continuous improvement, proactively identifying opportunities, and addressing challenges in your work and the work of others.
  • You have strong written and verbal communication skills including technical writing skills.



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.

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.

Maths for Machine Learning Jobs: The Only Topics You Actually Need (& How to Learn Them)

Machine learning job adverts in the UK love vague phrases like “strong maths” or “solid fundamentals”. That can make the whole field feel gatekept especially if you are a career changer or a student who has not touched maths since A level. Here is the practical truth. For most roles on MachineLearningJobs.co.uk such as Machine Learning Engineer, Applied Scientist, Data Scientist, NLP Engineer, Computer Vision Engineer or MLOps Engineer with modelling responsibilities the maths you actually use is concentrated in four areas: Linear algebra essentials (vectors, matrices, projections, PCA intuition) Probability & statistics (uncertainty, metrics, sampling, base rates) Calculus essentials (derivatives, chain rule, gradients, backprop intuition) Basic optimisation (loss functions, gradient descent, regularisation, tuning) If you can do those four things well you can build models, debug training, evaluate properly, explain trade-offs & sound credible in interviews. This guide gives you a clear scope plus a six-week learning plan, portfolio projects & resources so you can learn with momentum rather than drowning in theory.

Neurodiversity in Machine Learning Careers: Turning Different Thinking into a Superpower

Machine learning is about more than just models & metrics. It’s about spotting patterns others miss, asking better questions, challenging assumptions & building systems that work reliably in the real world. That makes it a natural home for many neurodivergent people. If you live with ADHD, autism or dyslexia, you may have been told your brain is “too distracted”, “too literal” or “too disorganised” for a technical career. In reality, many of the traits that can make school or traditional offices hard are exactly the traits that make for excellent ML engineers, applied scientists & MLOps specialists. This guide is written for neurodivergent ML job seekers in the UK. We’ll explore: What neurodiversity means in a machine learning context How ADHD, autism & dyslexia strengths map to ML roles Practical workplace adjustments you can ask for under UK law How to talk about neurodivergence in applications & interviews By the end, you’ll have a clearer sense of where you might thrive in ML – & how to turn “different thinking” into a genuine career advantage.

Machine Learning Hiring Trends 2026: What to Watch Out For (For Job Seekers & Recruiters)

As we move into 2026, the machine learning jobs market in the UK is going through another big shift. Foundation models and generative AI are everywhere, companies are under pressure to show real ROI from AI, and cloud costs are being scrutinised like never before. Some organisations are slowing hiring or merging teams. Others are doubling down on machine learning, MLOps and AI platform engineering to stay competitive. The end result? Fewer fluffy “AI” roles, more focused machine learning roles with clear ownership and expectations. Whether you are a machine learning job seeker planning your next move, or a recruiter trying to build ML teams, understanding the key machine learning hiring trends for 2026 will help you stay ahead.