Data Science Manager, Financial Crime
- London
- 2 months ago
- Wage Agreement
- Sponsorship
About us:Ā
Weāre 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 Financial Crime Data Team:
As we continue to scale, weāre looking for aĀ Data Science ManagerĀ to lead one of our key product areas for Financial Crime.
As a Data science manager, youāll be working in an ever changing environment work in collaboration with Product, Risk and Engineering peers and champion the data strategy and lead a cross-functional team.
Youāll help us build and improve these for now and for our future roadmap. Weāre 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 youāll be working on:
Youāll work closely with the Product Managers, engineers, and Financial Crime control owners in an agile product environment. Youāll champion the use of data, bring ideas to life through a rigorous analytical approach. Your work will focus on improving our efforts in financial crime detection, prevention and mitigation, ensuring we stay ahead of emerging threats and regulatory requirements.
Youāll 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 youāll 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.
Your day-to-dayĀ
You should apply if:
The Interview Process:
Our interview process involves 3 main stages. We promise not to ask you any brain teasers or trick questions!
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:
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 benefitsĀ here
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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 ourĀ blog, 2024Ā Diversity and Inclusion ReportĀ and 2024Ā 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