GoLang, Machine learning techniques, Python Programming, SQL
About our Machine Learning, Financial Crime Team:
As a Machine Learning Scientist, you’ll be working in an ever changing environment where we are building and iterating on our financial crime defence capabilities to ensure we keep Monzo and our customers safe. As a financial crime team we have a large impact on Monzo’s bottom line as fraud and scams are usually some of the largest cost line items in a bank's P&L. In addition, we have a great influence on the overall customer experience and it’s our duty to keep them safe. Most of the work we do results in directly measurable customer or company benefit which is incredibly satisfying.
Our Machine Learning Scientists don’t have a permanent assignment to a problem space and might rotate into different financial crime areas after some time. The major problem spaces that we are working in are: fraud prevention, transaction monitoring for different types of suspicious activity, customer risk assessment and operational tooling to name the biggest ones. At the moment we are about 21 people in financial crime data, including Analytics Engineers, Data Analysts, Machine Learning Scientist and Data Scientists.
What you’ll be working on:
As part of your job you’ll work closely with product managers, data scientists, backend engineers, designers and researchers in an agile product environment. You’ll champion the use of data and machine learning techniques, bring ideas to life through rigorous experimentation and A/B testing. You’ll help us get the most out of large volumes of data stored on a modern cloud native data platform and with spotting opportunities to make each area of financial crime work even better for our users and for Monzo.
Our culture is open and focused on collaboration between different functions and individuals. It is fast paced and innovative where we try to push the boundaries of the current financial industry best practices. We put a lot of emphasis on feedback (up, side and downwards) and personal growth and development.
Your day-to-day
You’ll be a member of the machine learning discipline, working within a product squad in financial crime to help to design, build, analyse, and experiment with machine learning systems that make use of the data we gather.
We organise our machine learning projects into three distinct phases; you'll spend your time doing all three:
You should apply if:
What we’re doing here at Monzo excites you!
Nice to haves:
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
What’s in it for you:
Equal Opportunity Statement
We are actively creating an equitable environment for every Monzonaut to thrive.
Monzo Bank Ltd, is an online bank based in the United Kingdom. Monzo was one of the earliest of a number of new app-based challenger banks in the UK.