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 four and half million customers in the UK, with over 100,000 new people joining every month. You'll have the opportunity to help us ensure the quality of the work done in Financial Crime in 2021 and help us continue to build a bank safely, and in control.
This role will be supporting the Assurance team, and will focus on making sure we can measure and understand the performance of staff members working on key operational projects within Financial Crime. You'll be responsible for working with our FinCrime Assurance Lead to ensure we check the right number and type of tasks to have confidence in our metrics, that our scoring is robust and fair, and that any root causes of poor performance are identified. You'll also be responsible for providing key stakeholders across the business with self-service dashboards for real time understanding of the metrics you have created.
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 and get access to. A majority 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 analyst is a member of a central Data Discipline but will be fully embedded into one area (for this role, it will be embedded within the Quality Assurance team, who monitor the quality of the work our Customer Operations team does, with a specific focus on Financial Crime Quality Assurance).
Autonomy. We believe that people reach their full potential when you can remove all the operational obstacles out of their way and let them run with their ideas. This comes together with a strong sense of ownership for your projects. At Monzo, you will get full access to our data and analytics infrastructure. When you discover something interesting, there is nothing stopping you from exploring and implementing your coolest ideas.
Cutting-edge managed infrastructure. All our data infrastructure lives on the Google Cloud Platform, so you don't need to spend your time configuring or managing clusters, databases, etc. If you want to train a Machine Learning model faster, just spin up a compute engine instances and submit a job from your local machine, no DevOps skills required.
Automation. We aim to automate as much as we can, so that every person in the team can focus on the things that humans do best. As with all data science work, there's some analysis and reporting, and as much as possible we encourage self-serve access to our data through Looker.
We can help you relocate to London & we can sponsor visas.
We offer share options and competitive salaries based on skills and experience.
Our interview process is normally a phone interview, a take home task and call to discuss it, and 2-3 hours of onsite interviews. We promise not to ask you any brain teasers or trick questions.
Diversity and inclusion is a priority for us – if we want to solve problems for people around the world, our team has to represent our customers. So we need to attract the best talent and create an environment that supports and includes them. You can read more about diversity and inclusion on our blog.
Questions about this role? Head over to our careers page to read our FAQs (www.monzo.com/careers)