Monzo

• Solving big problems that have a huge impact on our customers and the company's growth.
• Real autonomy to set the direction of your own work.
• Senior leadership provides strong support for incorporating Machine Learning solutions into systems where other organisations might shy away from the challenge.
• Engineering tooling is fantastic! We are empowered to deploy our own changes into production environment which allows us to ship our own models into production which is very satisfying.
• Get to work with and learn from really smart people in cross discipline squads which include Data/ML Scientists, Software Engineers, Product Managers and Business domain specialists.
• One of Monzo's values that comes through the strongest is "be hard on problems, not people". Individuals never get singled out or blamed when something goes wrong - instead teams work collaboratively to understand the issue and how our systems / processes can be improved to prevent it from happening again.

• Monzo is a regulated bank, so sometimes you need to slow down to consider and mitigate the risk of your changes with more rigorous testing.

• There hasn't been as much investment in Machine Learning tooling over the past ~2 years, but a team was recently spun up to start working on this.

• It can sometimes be intense when working on high priority projects which have deadlines, but I never felt pressure to work overtime or work late hours / weekends.

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