Senior Data Science Manager, Financial Crime Remote

“Previously Startups of London has featured Monzo in our article The Complete List of Unicorn Startups in the UK 2022.

You can also click on the company name above or go to their company page from here and learn more about their culture, business and management.

As for the role; Monzo is looking for a Senior Data Science Manager, Financial Crime to join their company. Learn more about the role, requirements as well as benefits in the below description. Click on the Apply Now button to complete job application.”

– Startup of London Team

The Role

As a Data science manager, you’ll be working in an ever changing environment where we are building and iterating on our workforce processes and systems to ensure we keep delighting our customers. Your team will focus on how to optimise costs by improving our forecast and planning capabilities and supporting decisions on how to improve our service and systems.

We’re still growing, and this is the right time to review our tools, processes and operational footprint. You’ll help us build and improve these for now and for our future roadmap. We’re looking for a hands-on, data driven operational leader who can bring fresh thinking and new ways to inspire the team to deliver service excellence.

What you’ll be working on:

You’ll work closely with product managers, engineers, designers and researchers in an agile product environment. You’ll champion the use of data, bring ideas to life through rigorous experimentation and A/B testing. You’ll 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’ll help your team grow, hiring new team members, supporting their personal development. Your team will 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. 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.

We work in cross-functional squads where every data scientist is a member of a central data discipline and fully embedded into a product squad alongside engineers, product managers, machine learning engineers etc.

Your day-to-day 

• Be a key leader in building a discipline of exceptional data scientists working on making Monzo world class at tackling operations problems
• Assure that our forecasts are accurate and flexible
• Help hire, develop and retain talented Data Scientists
• Generate insights that can change the direction of product development
• Establish yourself as a trusted partner to the product leadership teams with the capacity for getting things done, be it either hands-on or by leading others
• Bring data leadership and rigour to our approach to product development in the operations function and build a strategic understanding of the business while structuring complex projects to bring them to life
• Liaise with engineers to keep making sure we collect the right data to produce relevant business insights

You should apply if:
What we’re doing here at Monzo excites you!

• What we’re doing here at Monzo excites you!
• You have at least 3 years of experience as a Data Science Manager, working as a Lead data scientist or Data Scientist
• Experience in forecasting or operational research is a plus
• You know what it takes to manage top tier Data Science talent
• You’re excited by the opportunity to work autonomously to impact the future of a fast growing, ever evolving business
• You consider yourself an empathetic leader and have experience managing data scientists and you really enjoy that part of the job
• You have experience 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 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 tech-hiring@monzo.com

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

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.