Data Analyst, FinCrime

📍London OR UK Remote | 💰£55,000-£77,000 + Benefits | Hear from the team ✨ 

🚀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 because Money never felt like Monzo ❤️

About our Financial Crime team:

We're looking for a financial crime Data Analyst excited to help build the bank of the future. At Monzo, we’re growing extremely fast and have over ten million customers in the UK, with over 250,000 new people joining every month. 

At the core of this mission sits our data platform. We're great believers in powerful, real-time analytics and empowerment of the wider business. Every engineer at Monzo is responsible for collection of relevant analytics events from their microservices. We optimise for simplicity and re-usability – all our data lives in one place and is made available via our data warehouse in Google BigQuery. 90% of day-to-day data-driven decisions are covered by self-serve analytics through Looker which gives our data team the head space to focus on more impactful business questions and analyses.

You’ll play a key role by...

You will be responsible for partnering with subject matter experts in financial crime to surface key insights that will help drive decision-making, and using data to solve financial crime problems. You will work together with other members of the data discipline to maintain high quality, accurate data that our colleagues can rely on, improving our ability to fight financial crime and keep customers safe. Some of the problems you might work on include monitoring our financial crime detection and prevention systems, helping our investigators do their job efficiently and effectively, and helping Monzo maintain transparency and effective reporting with its regulators.

Your day-to-day  

• Build robust data models, reports, dashboards and visualisations (mostly in BigQuery SQL and Looker) that support the financial crime team in its mission.
• Translate regulatory reporting requirements into highly accurate data models and set the strategy for how we ensure the best possible data accuracy
• Investigate and effectively work with colleagues from other disciplines to address and improve data quality
• Conduct deep dives into various financial crime systems for financial crime detection, prevention, investigation and victim handling to identify key business opportunities
• Develop and drive data solutions that improve our ability to fight financial crime and keep customers safe
• Note: this role is more focused on developing dashboards, business reporting, high quality tables and data pipelines; it is not focused on advanced analytics or machine learning. If you are more interested in that type of work, consider applying to one of our data scientist roles.

We’d love to hear from you if…

• What we’re doing here at Monzo excites you!
• You’re keen to support the business by developing dashboards, high quality tables and data pipelines.
• You're impact driven and eager to have a real positive impact on the company, product, users and very importantly your colleagues as well
• You're passionate about data and using that data to improve & inform business decisions
• You’re motivated by solving challenging problems, and communicating and collaborating closely with subject matter experts on those solutions
• You’re as comfortable getting hands-on as taking a step back and thinking strategically
• You have a self-starter mindset; you proactively identify issues and opportunities and tackle them without being told to do so
• You're a team player whom your colleagues can rely on
• You have solid grounding in SQL 

🙌What’s in it for you

💰£55,000 - £77,000 ➕share options.

✈️ We’ll help you relocate to the UK. 

✅ We can sponsor your visa. 

📍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, and at times that suit you and your team. 

📚£1,000 learning budget each year to use on books, training courses and conferences.

🏡We will set you up to work from home; all employees are given Macbooks and for fully remote workers we will provide extra support for your work-from-home setup. 

➕ Plus lots more! Read our full list of benefits.

The Interview Process:

• Recruiter Call
• Initial Call 
• Take home task
• Final interview including a technical case and a behavioural interview 

Our average process takes around 2-3 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 or want to talk through reasonable adjustments ahead of or during application please us at any point on [email removed - click apply for more details]

We have some guidelines on using Artificial Intelligence (AI) to ace an application and interview at Monzo. You can read them here.

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.

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