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Analytics Engineering Lead, Operations

Monzo Bank

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Posted 3 weeks ago

Join the Future of Banking as a Lead Analytics Engineer at Monzo and Revolutionize Financial Services

Overview

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£90000 - £110000

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Cardiff, London or Remote (UK)

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Expires at anytime

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Visa sponsor - UK

Monzo is at the forefront of transforming the banking experience, making finance fun, accessible, and fair for over 10 million customers. With a commitment to transparency and customer service, Monzo offers a modern approach to banking, including features like early paycheck access and engaging financial education. By joining the Monzo team, you'll be part of a company that's not only rapidly growing but also driven by a mission to make a meaningful impact on the financial lives of its customers.

  • Lead the design and scalability of Monzo's Operations data models.
  • Develop robust data sets and contribute to machine learning and financial analysis.
  • Drive the re-architecture of Operations data domains.
  • Establish and maintain best practices for data handling and governance.
  • Collaborate with teams to optimize data usage and empower decision-making.
  • Expertise in data modelling, ETL, and Big Data.
  • Proficiency in SQL and knowledge of Data Warehousing concepts.
  • Experience in building data sets with high control standards.
  • Strategic thinker with a focus on credit products and data insights.
  • Leadership skills to drive value across Operations and Analytics Engineering.
  • Excellent communication with cross-functional teams and senior technical leaders.

The interview process at Monzo includes a recruiter call, an initial call, a technical task, and three one-hour sessions for the final interview. We aim to complete the process within 2-3 weeks and accommodate your availability. For any accommodations or questions, contact us at [email removed - click apply for more details].

Compensation for this role ranges from £90-110k, plus stock options and benefits. We offer assistance with UK relocation, visa sponsorship, flexible working hours, a £1,000 learning budget, and much more. Monzo is dedicated to equal opportunities, diversity, and inclusion, ensuring support for everyone to excel.

🚀 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 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 ❤️

Hear from our team about what it's like working at Monzo


📍London, Cardiff or Remote in the UK | 💰 £90-110,000 + Benefits | Hear from the team ✨ 

⭐Our Operations Analytics Engineering Team:

Our Mission in Operations is to deliver an effortless experience for everyone - helping Monzo deliver on its mission of making money work for everyone.

Data is crucial to the success of this mission and Operations Analytics Engineers are at the core of how we build, scale and re-architect our Operations Data Warehouse to enable Monzo to make better decisions, faster, and help serve Monzo’s customers better.

We're looking for a Lead Analytics Engineer within our Operations team to help build world class service for the bank of the future. You will play a critical role in overseeing our foundational data platforms, identifying and driving opportunities to enhance our current capabilities. Your expertise will be pivotal in allowing us to scale into new markets and working with partners internally and externally to ensure we can design and build a first class system to meet our customers’ needs.

At Monzo, we're building a bank that is fair, transparent and a delight to use. We’re growing extremely fast and have over 10 million customers in the UK, with over 200,000 new people joining every month. We’ve built a product that people love and more than 80% of our growth comes from word of mouth and referrals. 

This is a great opportunity to shape the future direction of how we serve our customers, enabling data to ensure we can provide a world class efficient service for all of Monzos customers, as we lay the foundations to build a best in class analytics function. You’ll work closely within our Operations Collective with product and engineering teams to build out our forecasting and routing systems, while partnering with our core operations team to enable a fast and agile workforce.

We have a strong culture of data-driven decision making across the whole company. And we're great believers in powerful, real-time analytics and empowerment of the wider business. 

🔑You’ll play a key role by...

  • Serving as a data architect for Monzo’s Operations data, contributing to the design and scalability of data models that measure the performance of our Operations 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.
  • Scoping, building and leading through others the re-architecture of entire domains across Operations (including data about our workforce and about demands of our customers)
  • 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.
  • Being a key technical leader who’s able to champion central platform initiatives that aim to elevate the data standards across Operations and beyond. 
  • We all own and support the pipelines we contribute to, and on call support out of hours will be expected from time to time as part of this role

🤩We’d love to hear from you :

  • 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.
  • You have experience building robust and reliable data sets that require a high level of control.
  • You enjoy working with cross functional fast moving teams and are passionate about serving our customers.
  • You are able to think strategically about credit products and how our underlying data models will unlock more insights for our team and more value for our customers.
  • You are excited about enabling other data scientists, analytics engineers and credit analysts by sharing your expertise on data architecture.
  • You have the ability to shape big, ambiguous data domains and get the required buy-in from key leaders across the business.
  • You are able to shape and manage the technical roadmap of an entire domain and execute against the project plan’s deliverables.
  • You are leading through the contributions of others by effectively leveraging the multiplier effect to create exponential value across Operations 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.

The interview process:

Our interview process involves 4 main stages: 

  • Recruiter call
  • Initial call  
  • Technical task 
  • 3 x 1 hours sessions (final interview)

Our average process takes around 2-3 weeks but we will always work around your availability. You will have the chance to speak to our recruitment team at various points during your hiring process, but if you do have any specific questions before this please contact us on [email removed - click apply for more details] Please also use that email to let us know if there's anything we can do to make your application process easier for you, because of disability, neurodiversity or any other personal reason.

💰 £90-110k base ➕ plus stock options & 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 here


Equal opportunities for everyone

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. You can read more in our blog, 2023 Diversity and Inclusion Report and 2023 Gender Pay Gap Report.

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, or veteran, neurodiversity or disability status.

If you have a preferred name, please use it to apply. We don't need full or birth names at application stage 😊

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