Lead Analytics Engineer, Borrowing
Level inferred from job title
Job description
Lead Analytics Engineer in Monzo's Borrowing Analytics Engineering team, responsible for data architecture and scalable data models that support reporting, machine learning and regulatory use cases. The role is a technical leadership position shaping data standards across Borrowing and the wider business.
At a glance
- Employment
- Full-time · Employee (employment agreement)
- Work mode
- Hybrid · London, United Kingdom · Cardiff, United Kingdom
- Pay
- GBP 97,800 – 125,000 / year
What you'll do
- Serve as a data architect for Monzo's Borrowing data, contributing to the design and scalability of data models that measure the performance of the 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 the 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
- Be a key technical leader who's able to champion central platform initiatives that aim to elevate the data standards across Borrowing and beyond
What we're looking for
- Strong passion for data modelling, ETL projects, and Big Data
- Enjoy working with data streams from various services, such as financial, transactional, and operational systems
- SQL and data modelling are second nature, and comfortable with general Data Warehousing concepts
- Committed to continuous improvement, proactively identifying opportunities and addressing challenges in your work and the work of others
- Experience building robust and reliable data sets that require a high level of control
- Enjoy working with cross functional fast moving teams and are passionate about serving customers
- Able to think strategically about credit products and how underlying data models will unlock more insights for the team and more value for customers
- 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 get the required buy-in from key leaders across the business
- Able to shape and manage the technical roadmap of an entire domain and execute against the project plan's deliverables
- Leading through the contributions of others by effectively leveraging the multiplier effect to create exponential value across Borrowing and Analytics Engineering
- Excel in cross-functional stakeholder communication (back-end engineers, product managers, and credit analysts), while also effectively engaging with senior technical leaders
Your team
Borrowing Analytics Engineering Team
Our Mission in Borrowing is to enable people's financial goals through better borrowing. We're looking to shape this mission by building products that our customers love, whilst scaling those top revenue lines across the business safely.
Benefits
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
- £97,800-£125,000 base + Benefits
- We can help you relocate to the UK
- We can sponsor visas
- Learning budget of £1,000 a year for books, training courses and conferences
- And much more, see our full list of benefits
How to get hired
- 1Recruiter call
- 2Initial call
- 3Technical task
- 43 x 1 hours sessions (final interview)
Apply
About Monzo
Mission
Our Mission in Borrowing is to enable people's financial goals through better borrowing.
Key facts
- We have a strong culture of data-driven decision making across the whole company
- We're great believers in powerful, real-time analytics and empowerment of the wider business