🚀 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 ❤️

Hear from our team about what it's like working at Monzo ✨

📍 London, Cardiff or Remote in the UK | 💰 £135-155,000 + Benefits | Hear from the team ✨

About our Financial Crime team:

As we continue to scale, we’re looking for a Senior Data Science Manager to lead one of our key product areas for Financial Crime. As a Senior Data Science Manager, you’ll be working in an ever changing environment, in collaboration with Engineering, Product and Risk teams, to develop and deliver the data strategy and help to lead a cross-functional team. You’ll help us build and improve these for now and for our future roadmap. We’re looking for a data driven strategic leader who can bring fresh thinking and develop cutting-edge solutions that keep our customers and business safe.

What you’ll be working on:
You’ll work closely with Product Managers, engineers, and Financial Crime control owners in an agile environment.  You’ll champion the use of data, bring ideas to life through rigorous experimentation and data analysis. 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.

You will manage multiple teams composed of Data Scientists and Data Analysts, and help them grow, hiring new team members and supporting their personal development. Your team will inform strategy and measure the impact of the product changes we make.

You will also be part of the wider data leadership group and help shape the role that data plays across the company. As part of your role, you will ensure that most day-to-day data-driven decisions can be covered by self-serve analytics through Looker to give data scientists the head space to focus on more impactful business questions and analyses.

Your day-to-day 

• Leadership: Be a key leader in building and maintaining a discipline of exceptional data scientists and analysts working to make Monzo world-class at combating financial crime.
• Team Development: Help hire, develop, and retain top Data Science talent. Foster a culture of continuous learning, innovation, and collaboration within your team.
• Project Management: Structure and manage complex projects, ensuring timely and high-quality delivery across various teams.
• Technical Guidance: utilise your technical expertise to guide the team in producing insights to guide our financial crime strategy.
• Collaboration: Work cross-functionally to align strategies and ensure that our financial crime prevention measures are robust and effective. Maintain clear communication with all stakeholders, translating complex technical concepts to non-technical audiences.
• Innovation and Compliance: Stay up-to-date with the latest trends and technologies in data science and financial crime prevention. Ensure that Monzo’s practices comply with all relevant regulatory requirements.

You should apply if:

• What we’re doing here at Monzo excites you!
• You have 4+ years of experience as a data science manager, ideally managing multiple teams or large teams.
• You know what it takes to hire, manage and develop top tier Data Science talent
• You're familiar with using a variety of Data Science tools (from business intelligence, experimentation and causal inference 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 are a strong strategic data leader, with a passion for translating data insights into actionable strategies.
• You are a strong communicator with both technical and non-technical stakeholders.
• You’re excited by the opportunity to work autonomously to impact the future of a fast growing, ever evolving business
• Experience in financial crime, fraud detection, or similar areas (Trust & Safety, Integrity, Security) is a plus.

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 hiring process, but if you 

do have any specific questions before this please contact us on tech-hiring@monzo.com. Please also use that email to let us know if there's anything we can do to make your application process easier for you, because of disability, neurodiversity or any other personal reason.

💰 £135-155,000 ➕ plus stock options & benefits 

✈️ 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

#LI-Remote #LI-NJ1

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, 2023 Diversity and Inclusion Report and 2023 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 😊