Lead Analytics Engineer, Borrowing Cardiff, London or Remote (UK)

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 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 Monzo.

Our mission in borrowing is to enable people's financial goals through better borrowing. Customers look to borrow money to enable them to achieve something in their lives - whether that's making a big life event affordable, buying something they need now without affecting their monthly budget, or getting by until payday. We're looking for a Lead Analytics Engineer within our borrowing team to help build world class service for the bank of the future.

• Serve as a data architect for Monzo's borrowing data, contributing to the design and scalability of data models that measure the performance of our product suite.
• Develop robust data models downstream of backend services, primarily in BigQuery, to support internal reporting, machine learning, large language models, as well as financial and regulatory use cases.
• Be a key voice in shaping and maintaining best practices for our data warehouse, including source data payload design, logical data modelling, implementation, metadata, and testing standards.
• Collaboratively set standards and work with data across Monzo, fostering knowledge sharing and continuously improving data practices.
• Contribute to prioritising data governance issues, ensuring a comprehensive approach to data integrity and compliance.
• Act as a key technical leader who can champion central platform initiatives that aim to elevate the data standards across borrowing and beyond.

• Strong passion for data modelling, ETL projects, and Big Data.
• Experience working with data streams from various services, such as financial, transactional, and operational systems.
• SQL and data modelling are second nature; comfortable with general data warehouse concepts.
• Committed to continuous improvement, proactively identifying opportunities and addressing challenges.
• Experience building robust and reliable data sets that require a high level of control.
• Enjoy working with cross functional fast moving teams and passionate about serving our customers.
• Strategic thinking about credit products and how underlying data models will unlock more insights and value.
• Excited about enabling other data scientists, analytics engineers, and credit analysts by sharing expertise on data architecture.
• Ability to shape big, ambiguous data domains and obtain the required buy in from key leaders.
• Capacity to shape and manage the technical roadmap of an entire domain and deliver on project plans.
• Leading through the contributions of others by leveraging the multiplier effect to create exponential value across borrowing and analytics engineering.
• Excellent cross functional stakeholder communication and effective engagement with senior technical leaders.

Our interview process involves four main stages:

• Technical task
• Three one hour sessions (final interview)

It typically takes around three to four weeks, but we will work around your availability.

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, at times that suit you and your team.

• Learning budget of £1,000 a year for books, training courses and conferences.
• And many more benefits (see our full list of benefits).

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, veteran, neurodiversity or disability status.