Monzo

strategy and operations manager в Payments

In short

Senior Strategy and Operations Manager role supporting the GM of Payments at Monzo, a UK fintech bank. The role covers strategic planning, data analysis, cross-functional collaboration with Product, Engineering, Data, and Design teams, and leading business reviews and governance for the Payments division. It demands strong analytical and strategic thinking, ability to work independently in ambiguous environments, and experience partnering with technical teams; occasional travel to the London office is expected despite remote work mode.

About Monzo
Monzo offers personal and business bank accounts, joint accounts, accounts for 16–17-year-olds, kids' accounts, credit cards, savings, investments, and pension services in the UK. The company aims to make money work for everyone and solve problems through its banking products.
Responsibilities
•Support the GM of Payments and leadership team in defining, tracking, and evolving Payments' strategic direction
•Analyze large, complex datasets to uncover insights, diagnose operational challenges, and design and implement scalable solutions
•Build and maintain data-informed performance views across products, squads, and initiatives, and use insights to inform priorities and trade-offs
•Partner with Product, Engineering, Data, and Design teams to connect ideas with strategic business execution
•Lead monthly business reviews, reporting, and governance materials
•Scope new opportunities through market sizing, commercial modelling, partnership evaluation, and budget and forecast analysis
•Optimize the balance of KTLO, BAU, and growth work, and support resourcing and squad setup decisions
•Ensure communication and alignment across Payment squads and other Monzo collectives
•Support scaling the lending book and launch operations as Borrowing products expand into new geographies
•Lead Payments All Hands, goals processes, and strategic forums
Requirements
•Strong strategic thinking, systems thinking, and ability to anticipate future trends
•Solve complex problems with analytical rigor, commercial viability, and execution certainty
•Work independently in ambiguous, complex, and rapidly evolving environments
•Connect teams, foster collaboration, and drive alignment without authority
•Make trade-offs and prioritization decisions based on data, business impact, and resource constraints
•Strong analytical skills and a proven track record of navigating large datasets to solve unstructured problems independently
•Cross-functional experience with highly technical teams, such as Machine Learning and Data/Analytics Engineering
•Motivation to improve team efficiency, scalability, and focus
Conditions
•Incentive awards tied to performance
•Flexible working hours
•£1,000 annual learning budget for books, training courses, and conferences
•MacBook provided; fully remote workers receive extra support for their home-work setup
•Occasional work from the London office is expected

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