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Monzo ищет специалиста по Payments для поддержки стратегического направления и анализа платежей. Вы будете сотрудничать с командами Product, Engineering, Data и Design, чтобы переводить идеи в бизнес-решения.
Требуется высокий уровень анализа и опыта работы с большими данными; готовность работать в быстро меняющейся среде и приводить к принятию решений. Условия включают гибкий график, удаленную работу с частичным офисным присутствием и поддержку переезда сотрудников.
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.
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
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