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

Nominate & Attend

Senior Product Manager, Fincrime Efficiency London

Monzo
London
3 months ago
Applications closed

Related Jobs

View all jobs

Senior Data Scientist, Growth Marketing

Senior Data Scientist, Growth Marketing...

Senior Data Scientist, Growth Marketing...

Senior Data Scientist, Growth Marketing Cardiff, London or Remote (UK)

Senior Data Scientist

Senior Data Scientist – Cardiff, London, or Remote (UK) | Visa Sponsorship Available | Monzo

London

Are you the right candidate for this opportunity Make sure to read the full description below.We’re on a mission to make money work for everyone.We’re waving goodbye to the complicated and confusing ways of traditional banking.With our hot coral cards and get-paid-early feature, combined with financial education on social media and our award-winning customer service, we have a long history of creating magical moments for our customers!We’re not about selling products - we want to solve problems and change lives through MonzoWe are looking for a Senior Product Manager to lead our efforts in improving the efficiency and effectiveness of our Financial Crime (Fincrime) Operation teams.Your mission is to build and provide world-class tech-led toolings, through more automation, usage of GenAI, and process redesign, to empower our (Fincrime) Investigators and help Monzo achieve scalable and sustainable growth. You’ll drive efficiency gains, while maintaining or improving decision quality, and ensuring a seamless customer experience.What You’ll Be Working On:Optimising Fincrime Investigation Workflows: Reduce handling time while maintaining or improving decision accuracy, particularly for high-effort tasks.Scaling Automation & AI-first Solutions: Drive towards 100% automation where human intervention is only required in complex cases or when necessary for customer experience.Enhancing Tooling for COps (Customer Operations): Improve existing tools and build new solutions to reduce manual efforts, increase efficiency, and streamline investigations, e.g., reduce reliance on outside tools by integrating more workflows into BizOps (our internal tooling) and improving usability.Improving Demand Forecasting & Workforce Planning: Enhance forecasting capabilities to support central Workforce Management (WFM), optimizing capacity planning and scheduling to drive cost savings and improve customer experience (e.g., reducing idle time and customer wait times).Driving Cultural & Process Improvements: Improve investigator incentives, skills leveling, and training to create a more efficient and high-performing team.Your day-to-day work:Lead a 10+ cross-functional squad, across risk, engineering, data, machine learning, and operation to develop and deliver on the strategic product roadmap.Identify opportunities for efficiency improvements without compromising quality of decision & customer experience, e.g., banning experience.Build new toolings and/or improvements to existing toolings to help COps improve their efficiency.Collaborate closely with our Ops Collective to deliver improvements to forecasting & planning; so that we have the right people, at the right place and the right time.Act as the central point of execution for our strategy/vision to move towards building AI-first solutions such that our scale accelerates risk reduction.You should apply if:Proven experience in product management, ideally within fintech or scale-up companies.Strong understanding of automation, AI-driven tooling, and operational efficiency improvements.Experience working with cross-functional teams, especially operational teams to deliver impactful solutions.Ability to make decisions balancing difficult trade-offs, e.g., balance speed vs. accuracy, while maintaining a seamless customer experience.A data-driven mindset, with experience using insights to drive product decisions and measure success.The interview process:Our interview process involves 4 main stages:Initial Call with Hiring Manager.Interview Loop, consisting of three 1-hour long interviews (Project Walkthrough, Case Study, and Leadership).Final Interview.This process should take around 3-4 weeks - your schedule is really important to us, so we promise to be as flexible as possible!You’ll hear from us throughout the application process, but if you’ve got any questions, please reach out to ’ll only close this role once we have enough applications for the next stage. Please submit your application as soon as possible to make sure you don’t miss out.What’s in it for you:We’ll help you relocate to the UK.We can sponsor your visa.This role can be based in our London office, but we're open to distributed working within the UK (with ad hoc meetings in London).We offer flexible working hours and trust you to work enough hours to do your job well, and at times that suit you and your team.£1,000 learning budget each year to use on books, training courses, and conferences.We will set you up to work from home; all employees are given Macbooks and for fully remote workers we will provide extra support for your work-from-home setup.Diversity and inclusion are a priority for us and we’re making sure we have lots of support for all of our people to grow at Monzo.We’re an equal opportunity employer. All applicants will be considered for employment without attention to age, ethnicity, religion, sex, sexual orientation, gender identity, family or parental status, national origin, or veteran, neurodiversity or disability status.If you have a preferred name, please use it to apply. We don't need full or birth names at application stage.Apply for this job#J-18808-Ljbffr

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.

AI Jobs UK 2025: 50 Companies Hiring Now

Bookmark this guide – we refresh it every quarter so you always know who’s really scaling their artificial‑intelligence teams. Artificial intelligence hiring has roared back in 2025. The UK’s boosted National AI Strategy funding, record‑breaking private investment (£18.1 billion so far) & a fresh wave of generative‑AI product launches mean employers are jockeying for data scientists, ML engineers, MLOps specialists, AI product managers, prompt engineers & applied researchers. Below are 50 organisations that have advertised UK‑based AI vacancies in the past eight weeks or formally announced growth plans. They’re grouped into five easy‑scan categories so you can jump straight to the kind of employer – & culture – that suits you. For each company you’ll find: Main UK hub Example live or recent vacancy Why it’s worth a look (tech stack, culture, mission) Use the internal links to browse current vacancies on ArtificialIntelligenceJobs.co.uk – or set up a free job alert so fresh roles land in your inbox.

Return-to-Work Pathways: Relaunch Your AI Career with Returnships, Flexible & Hybrid Roles

Stepping back into the workplace after a career break can feel like embarking on a whole new journey—especially in a cutting-edge field such as artificial intelligence (AI). For parents and carers, the challenge isn’t just refreshing your technical know-how but also securing a role that respects your family commitments. Fortunately, the UK’s tech sector now boasts a wealth of return-to-work programmes—from formal returnships to flexible and hybrid opportunities. These pathways are designed to bridge the gap, equipping you with refreshed skills, confidence and a supportive network. In this comprehensive guide, you’ll discover how to: Understand the booming demand for AI talent in the UK Leverage transferable skills honed during your break Overcome common re-entry challenges Build your AI skillset with targeted training Tap into returnship and re-entry programmes Find flexible, hybrid and full-time AI roles that suit your lifestyle Balance professional growth with caring responsibilities Master applications, interviews and networking Whether you’re returning after maternity leave, eldercare duties or another life chapter, this article will equip you with practical steps, resources and insider tips.

LinkedIn Profile Checklist for AI Jobs: 10 Tweaks That Triple Recruiter Views

In today’s fiercely competitive AI job market, simply having a LinkedIn profile isn’t enough. Recruiters and hiring managers routinely scout for top talent in machine learning, data science, natural language processing, computer vision and beyond—sometimes before roles are even posted. With hundreds of applicants vying for each role, you need a profile that’s optimised for search, speaks directly to AI-specific skills, and showcases measurable impact. By following this step-by-step LinkedIn for AI jobs checklist, you’ll make ten strategic tweaks that can triple recruiter views and position you as a leading AI professional. Whether you’re a fresh graduate aiming for your first AI position or a seasoned expert targeting a senior role, these actionable changes will ensure your profile stands out in feeds, search results and recruiter queues. Let’s dive in.