[Hiring] Senior Analytics Engineer @Monzo

Role Description

We’re on a mission to make money work for everyone. We’re waving goodbye to the complicated and confusing ways of traditional banking. After starting as a prepaid card, our product offering has grown a lot in the last 10 years in the UK. As well as personal and business bank accounts, we offer joint accounts, accounts for 16-17 year olds, a free kids account and credit cards in the UK, with more exciting things to come beyond. Our UK customers can also save, invest and combine their pensions with us. 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 Monzo ❤️

What you’ll be working on:

• The Analytics Engineering team is responsible for building downstream data models from backend services.
• Support the building of robust data models downstream of backend services (mostly in BigQuery) that support internal reporting, machine learning as well as financial and regulatory use cases.
• Focus on optimisation of our Data Warehouse, spotting opportunities to reduce complexity and cost.
• Help define and manage best practices for our Data Warehouse, including payload design of source data, logical data modelling, implementation, metadata and testing standards.
• Set standards and ways of working with data across Monzo, working collaboratively with others.
• Investigate and effectively work with colleagues from other disciplines to monitor and improve data quality within the warehouse.
• Contribute to prioritisation of data governance issues.
• On call support out of hours will be expected from time to time as part of this role.

Qualifications

• You enjoy working with cross functional fast moving teams and are passionate about serving small businesses.
• You are able to think strategically about the Business Banking product and how our underlying data models will unlock more insights for our team and more value for our customers.
• You have a strong passion for data modelling, ETL projects, and Big Data.
• You enjoy working with data streams from various services, such as financial, transactional, and operational systems.
• SQL and data modelling are second nature to you, and you are comfortable with general Data Warehousing concepts.
• You are committed to continuous improvement, proactively identifying opportunities and addressing challenges in your work and the work of others.

Requirements

• Any experience working within a finance function or knowledge of accounting.
• Experience working in a highly regulated environment (e.g. finance, gaming, food, health care).
• Knowledge of regulatory reporting and treasury operations in retail banking.
• Exposure to Python, Go or similar languages.
• Experience working with orchestration frameworks such as Airflow/Luigi.
• Have previously used dbt, dataform or similar tooling.
• Used to AGILE ways of working (Kanban, Scrum).

Interview Process

• 30 minute recruiter call.
• 45 minute call with the hiring manager.
• Take home task.
• 2-part final stage.

Benefits

• We can help you relocate to the UK.
• We can sponsor visas.
• 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 much more, see our full list of benefits.

Equal Opportunities

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. At Monzo, we’re embracing diversity by fostering an inclusive environment for all people to do the best work of their lives with us. This is integral to our mission of making money work for everyone.