📍London /UK Remote |  Benefits  | Hear from the team :sparkles:

About us: 

We’re here to make money work for everyone and we're doing things differently. For too long, banking has been obtuse, complex and opaque.

We want to change that and build a bank with everyone, for everyone. Our amazing community suggests features, test the app and give us constant feedback so we can build something everyone loves.

We're focused on solving problems, rather than selling financial products. We want to make the world a better place and change people's lives through Monzo.

About our Fincrime Data Team:

Our Mission in Financial Crime & Fraud is to earn and keep our customers’ trust, support Monzo’s safe growth, and contribute to building a safer society. Data is crucial to the success of this mission and Analytics Engineers are the core of how we build and scale our data to Enable Monzo to Make Better Decisions, Faster, and help protect Monzo’s customers from Fraud and Financial crime.

At the core of this mission sits our data platform. We're great believers in powerful, real-time analytics and empowerment of the wider business. Every engineer at Monzo is responsible for collection of relevant analytics events from their microservices. We optimise for simplicity and re-usability – all our data lives in one place and is made available via our data warehouse in Google BigQuery. 90% of day-to-day data-driven decisions are covered by self-serve analytics through Looker which gives data scientists the head space to focus on more impactful business questions and analyses.

What you’ll be working on:

As part of a multi-disciplinary data squad, you will have the opportunity to:
  • Serve as a data architect for Monzo’s Financial Crime and Fraud data, contributing to the design and scalability of data models that measure the effectiveness of fraud and financial crime controls.
  • Develop robust data models downstream of backend services, primarily in BigQuery, to support internal reporting, machine learning, as well as financial and regulatory use cases.
  • Help shape and maintain best practices for our Data Warehouse, including source data payload design, logical data modeling, implementation, metadata, and testing standards.
  • Collaboratively set standards and work with data across the Financial Crime and Fraud domain, fostering knowledge sharing and continuously improving data practices.
  • Contribute to prioritizsng data governance issues, ensuring a comprehensive approach to data integrity and compliance.
  • 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

You should apply if:

  • You have a strong passion for data modeling, ETL projects, and Big Data, with experience as a developer or analyst.
  • You enjoy working with data streams from various services, such as financial, transactional, and operational systems.
  • SQL and data modeling 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.

The interview process:

Our interview process involves 3 main stages: 

  • Initial Call

  • Take home task

  • Final Stage

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 process but if you do have any specific questions ahead of this please contact us on tech-hiring@monzo.com

What’s in it for you:

✈️ 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 Opportunity Statement

We are actively creating an equitable environment for every Monzonaut to thrive.

Diversity and inclusion are a priority for us and we are making sure we have lots of support for all of our people to grow at Monzo. At Monzo, embracing diversity in all of its forms and 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, 2022 Diversity and Inclusion Report and 2022 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.

 

#LI-AC1 #LI-REMOTE

 

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👤 Identity survey

Our goal at Monzo is to make money work for everyone. To do that, working at Monzo must work for everyone. We want to create an equitable, engaged and innovative workplace which gives people from all backgrounds the support they need to thrive and grow. 

Making Monzo work for everyone starts right at the beginning of every Monzonaut's journey: when they apply to work here. This demographic survey will help us better understand the people who apply to work at Monzo. It'll help us see how different groups progress through our hiring process, and where we need to make improvements to be more inclusive. If you choose to fill it out, all of the information you give us is:

  • Voluntary. And we've included a "prefer not to say" option for every question. It'd be helpful if you still fill out the survey even if you choose "prefer not to say" for every question, as it's useful for us to understand & record this. We won't know if you choose to fill this survey in or not.
  • Anonymous to Monzo. We can't tie your responses to you and they won't make a difference to the outcome of your application. We'll only use grouped responses for equal opportunities monitoring in our hiring process.

For more information on how we'll use this data, please read our candidate privacy notice.

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