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 ️
Our Operations Data team consists of over 40 people across 4 data disciplines: Analytics Engineering, Data Analytics, Machine Learning, and Data Science.
In our Operations Collective, you'll have the opportunity to embed into an area that is the heart of how we work with our customers’ problems - delivering award winning customer support - and is full of data challenges. Data and Machine Learning supports all aspects of Operations, from workforce planning to customer support experience, to enabling teams to work effectively and efficiently.
You’ll work closely with the Product and Engineering in an agile product environment. You’ll champion the use of data, bring ideas to life through a rigorous analytical approach. Your work will focus on improving our efforts in customer demand insights & help assistance.
You’ll help your team grow, hiring new team members, supporting their personal development. You will manage a team with Data Scientists and Data Analysts, working together with Analytics Engineers to drive product innovation and you’ll get to see the impact of all your work in the product changes we make.
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. 90% of day-to-day data-driven decisions are covered by self-serve analytics through Looker which gives data folk the head space to focus on more impactful business questions and analyses.
- Be a key leader in building a discipline of exceptional data scientists and analysts working on making Monzo Operations world class for everyone
- Help hire, develop and retain talented Data people
- Generate insights that can change the direction of our customer operations strategy
- Bring data leadership and rigour to our approach to product development and build a strategic understanding of the business while structuring complex projects to bring them to life
- Liaise with product and engineering managers to make sure we collect the right data to produce relevant business insights
We would love to hear from you if...
- What we’re doing here at Monzo excites you!
- Youmusthave at least 4 years of experience as a Data Science Manager
- You are a strong strategic data leader and love to drive decisions
- Strong experience with working with executive or C-level peers, managing stakeholders across levels of seniorities and disciplines
- You’re excited by the opportunity to work autonomously to impact the future of a fast growing, ever evolving business
- 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
- You know how to build confidence with senior leaders across the business
- You have strong product knowledge and have built data products previously
- You have experience working with teams that build ML models and you understand how to build the right data set for ML models
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
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 benefitshere
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 , 2024 Diversity and Inclusion Report and 2024 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
Apply for this job
*
indicates a required field
First Name *
Last Name *
Email *
Phone
Resume/CV *
Enter manually
Accepted file types: pdf, doc, docx, txt, rtf
Enter manually
Accepted file types: pdf, doc, docx, txt, rtf
Select...
A US Person is defined as someone who:
- was born in the United States (US)
- has at least 1 parent who was born in the US
- is a naturalised citizen of the US
- is a green card holder
- is a US tax resident
Please confirm your UK Right to Work status. * Select...
We legally have to verify your Right to Work in the UK before you can start working for us. We're asking for this information now so we know later what type of right to work check we need to do. Your answer to this question won't affect the outcome of your application, unless you'd need visa sponsorship but are applying to a role we can't sponsor.
Keeping your data safe is really important to us. * Select...
If you’d like to, please share your preferred pronouns (eg. they/them/theirs, she/her/hers).
If you'd like to, please spell out your name how it's pronounced so we know how to say it.
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.
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? Select...
Do you identify as transgender? Select...
What's your sexual orientation? Select...
Do you identify as having a disability? Select...
Do you consider yourself to be neurodivergent? Select...
#J-18808-Ljbffr
