Senior Data Science Manager, Core
Cardiff, London or Remote (UK)
š Weāre on a mission to make money work for everyone.
Weāre waving goodbye to the complicated and confusing ways of traditional banking.Ā
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!
Weāre not about selling products - we want to solve problems and change lives through Monzo ā¤ļø
Hear from our team about what it's like working at Monzo āØ
Ā
šLondon | UK remote | š° Ā£110,000 to Ā£130,000 + Stock Options + Benefits
About our Core Banking Team:
Core Banking is responsible for the current account used by 10 million customers. That includes creating compelling value propositions for different audiences (including Joint, Under 16s and 16 to 17 accounts), designing the overall app structure, the day-to-day money management experience (including features like Trends, Salary Sorter, Bills Pots, and more) and other value propositions like Travel. The collective is also responsible for Subscriptions, which are paid upgrades that unlocks extra benefits and functionality that help customers make financial progress.
Weāre now gearing up for our next phase of growth, from 10 million to 20 million customers. As we scale Core Banking, weāre looking for a Senior Data Science Manager to lead our data science team and product strategy more holistically. Weāre looking for a leader with hands-on experience and a data-driven strategic leader who can bring fresh thinking and new ways to inspire the team and our customers.
What youāll be working on:
Youāll be working in an ever changing environment in collaboration with the Core Banking Leadership team, including the product director, engineering managers, designers and researchers. You are expected to drive product strategy using data and ensure the reliability, robustness and efficiency of our data assets together with the Senior Analytics Engineering Manager in Core Banking. Youāll champion the use of data, bring ideas to life through rigorous experimentation and A/B testing. Youāll help us get the most out of volumes of cloud native data, spotting opportunities to make each area of our product work even better for our customers. You and your team will drive product innovation and youāll get to see the impact of all your work in the product changes we make.
You will also be a leader in building a discipline of exceptional data scientists and helping your teamās career progression and development.
You should apply if:
- You have multiple years of experience in product data science, with 3 or more years working in Senior or Lead positions within Data Science or Analytics.
- You know what it takes to lead top tier Data Science talent and have had experience managing high performing senior teams of 8-10 people
- You consider yourself an empathetic leaderĀ
- You are a strong strategic data leader and love using data to drive decisions, structuring complex projects to bring them to life
- Youāre as comfortable getting hands-on as you are exploring potentially ambiguous business problemsĀ
- You have experience building relationships and 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
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 callĀ
- 45 minute call with hiring managerĀ
- 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
Whatās in it for you:
š° Ā£110,000 to Ā£130,000 + Stock Options + Benefits
āļø We can help you relocate to the UKĀ
ā We can sponsor visas
šThis role can be based in our London office, but we're open to distributed working within the UK (with ad hoc meetings in London).
ā° 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.
šLearning budget of Ā£1,000 a year for books, training courses and conferences
āAnd much more, see our full list of benefits here
If you prefer to work part-time, we'll make this happen whenever we can - whether this is to help you meet other commitments or strike a great work-life balance.
#LI-NB2Ā #LI-Remote
Equal opportunities for everyone
Diversity and inclusion are a priority for us and weāre making sure we have lots of support for all of our people to grow at Monzo. At Monzo, weāre 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.
Weāre 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 š
ApplyJob Profile
Ad hoc meetings in London
Benefits/PerksAd hoc meetings Benefits Career development Financial education Flexible working Flexible working hours Inclusive environment Learning Budget Learning budget of Ā£1 Learning budget of Ā£1,000 a year Options Stock options
Tasks- Champion data use
- Collaboration
- Conduct experimentation
- Drive product strategy
- Lead data science team
A/B Testing Analytics Analytics engineering Banking Business Intelligence Causal inference Cloud Native Data Collaboration Core banking Customer service Data Science Diversity and Inclusion Experimentation Financial Education Leadership Machine Learning Product Strategy Python SQL Strategy Testing Training
Experience3 years
Education Timezones