📍London/Anywhere (UK)

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 Data Discipline:

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. All our data lives in one place and is super easy to use. 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.

We work in cross-functional squads where every data scientist is a member of a central data discipline and fully embedded into a product squad alongside Engineers, Designers, Marketers, Product Managers, Machine Learning Engineers etc.

What you’ll be working on:

You’ll work closely with the general managers, product, design and engineering directors to run your areas of the business. You’ll be responsible for the future size and direction of your data area, building a high performing team across our subdisciplines (from Data Scientists and Analytics Engineers, all the way to Machine Learning Engineers). You’ll grow and mentor the Data Discipline members of your team, including your own Data Science managers. 

You’ll ensure we generate high quality insights that help shape the direction of  our product. You’ll lead a culture of high quality, proactive analyses designed to not only respond to new features as they launch, but to help generate the foundations of what we do next. We’re looking for someone enthusiastic about building market leading products and seeing the data insights their team produces go on to improve the lives of millions of our customers.

You'll seek input from risk-specialist colleagues to find out which changes performed by their team have a high degree of legal and regulatory risk; puts in place risk mitigation strategies that are proportional to the degree of risk inherent in each change, allowing their teams to move fast on low-risk changes while ensuring that critical compliance work is implemented carefully and correctly.

Your day-to-day 

  • Be a key leader in building a discipline of exceptional data scientists working on making Monzo world class at tackling Data problems
  • Help hire, develop and retain top tier talented Data Scientists
  • Develop your own leadership structure of Data Science Managers
  • Promote a culture of proactive, high quality data insights that can impact the direction of Monzo
  • Establish yourself as a trusted partner to the product leadership teams with a reputation for getting things done
  • Bring data leadership and rigour to our approach to product development
  • Build a strategic understanding of the business while structuring complex projects to bring them to life

You should apply if:
What we’re doing here at Monzo excites you!

  • You have multiple years of experience in data, working as a Lead Analyst or Data Scientist
  • You consider yourself an empathetic leader and have experience managing multiple data scientists and data managers and you really enjoy that part of the job
  • You’re as comfortable getting hands-on as well as taking a step back and thinking strategically and proactively identifying opportunities
  • You have experience working together and collaborating with senior business stakeholders and product teams
  • You're familiar with using a variety of Data Science tools (from business intelligence, experimentation and causal inference through to machine learning), and coding languages (Python and SQL). You know when to pick the right tool, and can help others do the same

Nice to haves

  • Experience with strongly-typed languages (e.g. Go, Java, Scala...)
  • Working knowledge of Python, Airflow, dbt and Looker
  • Used to AGILE ways of working (Kanban, Scrum) tracked in JIRA or Trello

The Interview Process:

Our interview process involves 3 main stages We promise not to ask you any brain teasers or trick questions!

  • 30 minute recruiter call 
  • 45 minute call with hiring manager 
  • 3 x 1-hour video calls with various team members

Our average process takes around 3-4 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,  2021 Diversity and Inclusion Report and 2021 Gender Pay Gap Report.

We're an equal opportunity employer. All applicants will be considered for employment without attention to ethnicity, religion, sexual orientation, gender identity, family or parental status, national origin, veteran, neurodiversity status or disability status.

#LI-CS #LI-REMOTE

Apply for this Job

* Required
resume chosen  
(File types: pdf, doc, docx, txt, rtf)
cover_letter chosen  
(File types: pdf, doc, docx, txt, rtf)


👤 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.

By filling out this survey, you agree that we can use your responses for the purposes we've mentioned above. You are not letting us know if we need to make any adjustments to the hiring process because of disability or neurodiversity - to do this please email us.

How would you describe your gender identity?






Do you identify as transgender?



What's your sexual orientation?







Do you identify as having a disability?



Do you consider yourself to be neurodiverse?



How would your describe your ethnicity?