đ Weâre on a mission to make money work for everyone.
Weâre 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!Weâre not about selling products - we want to solve problems and change lives through Monzo â¤ď¸Hear from our team about what it's like working at Monzo â¨
London | UK remote | đ° ÂŁ110,000 to ÂŁ130,000 + Stock Options + Benefits
About our Business Banking Team:
Our Mission in Business Banking is to simplify banking for small businesses - this means making business banking fairer, simpler, and more transparent for small businesses. Monzo Business Banking is fast growing and was recently named as the Standout Business Bank by 11:FS. Data is crucial to the success of this mission and product data scientists are the core of how we build and scale our data to Enable Monzo to Make Better Decisions, Faster, and help serve Monzoâs businesses. As we scale Business Banking, weâre looking for a Senior Data Science Manager to lead our data team and product strategy more holistically.Youâll be working in an ever changing environment in collaboration with the General Manager and BB Leadership team.Youâll help us build and improve these for now and for our future roadmap.
Weâre looking for a leader with hands-on experience, data driven strategic leader who can bring fresh thinking and new ways to inspire the team and our customers.
What youâll be working on:
Youâll work closely with the General manager, product director, engineering managers, designers and researchers in an agile product environment. You are expected to drive product strategy using data and also serve as a core member of the Business Banking leadership team. Youâll champion the use of data, bring ideas to life through rigorous experimentation and A/B testing. Youâll help us get the most out of volumes of cloud native data platform, spotting opportunities to make each area of our product work even better for our users. You and your team will drive product innovation and youâll get to see the impact of all your work in the product changes we make.
You will be a key leader in building a discipline of exceptional data scientists and analytics engineers working on making Monzo world class in Business Banking, as well as having the opportunity to help your teamâs career progression and development.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.
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 have had experience managing high performing senior teams of 8-10 people
- You consider yourself an empathetic leader and have experience managing data scientists and analytics engineers and you really enjoy that part of the job.
- You are a strong strategic data leader and love to drive decisions
- You are comfortable exploring potentially ambiguous business problems and enjoy using data to drive decisions
- You have experience building a strategic understanding of the business while structuring complex projects to bring them to life
- Youâre as comfortable getting hands-on as well as taking a step back and thinking strategically and proactively identifying opportunities
- You have experience building relationships and working together and collaborating with senior business stakeholders and product teams
- Experience with working with c-level peers
- You know what it takes to lead top tier Data Science and Analytics Engineering talent talent
- 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 callÂ
- 45 minute call with hiring managerÂ
- 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
Whatâs in it for you:
đ° ÂŁ110,000 to ÂŁ130,000 + Stock Options + Benefitsâď¸ We can help you relocate to the UK â
We can sponsor visasđThis role can be based in our London office, but we're open to distributed working within the UK (with ad hoc meetings in London).â° 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.đLearning budget of ÂŁ1,000 a year for books, training courses and conferencesâAnd 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-NB2Â #LI-Remote
Equal opportunities for everyone
Diversity and inclusion are a priority for us and weâre making sure we have lots of support for all of our people to grow at Monzo. At Monzo, weâre 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.Weâre 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 đ
