Decision Scientist

At Monzo we believe there’s a better way to do banking - we care deeply about our customers, are innovative and execute quickly.

We’re looking to revolutionise the way people manage their finances by putting them in control and promoting their financial wellbeing. We are expanding our range of  borrowing products, aiming to create a genuine feel-good factor when it comes to personal credit. We  are looking for driven, analytical and creative individuals to help us achieve this goal.

You will:

• Develop statistical and machine learning models for our range of Borrowing products, with focus on credit decisions
• Own the full lifecycle of modelling projects, from model design and data curation, to deployment and monitoring in production
• Drive innovation with new data sources and solutions such as Open Banking

You should apply if:

• You are result oriented and motivated by the impact on our customers
• You are self-motivated and thrive in a fast-paced environment
• You have great attention to detail while keeping an eye on the big picture
• You are a great communicator able to articulate complex problems
• You are able build mutual respect and trust with diverse teams and stakeholders
• You are keen to grow your knowledge in both business and technology

And you have:

• Excellent SQL and Python skills with good understanding of best practices in software engineering and data engineering
• In-depth knowledge of statistical and machine learning models: logistic regression, survival analysis, gradient boosted trees, neural networks, etc
• Solid knowledge of statistics: hypothesis testing, confidence intervals, bootstrap

Even better if you have:

• Experience of managing a modelling project through its full lifecycle
• Experience in consumer lending business or similar industry

Logistics:

• We can help you relocate to London & we can sponsor visas.
• This role can be based in our London office or remotely within the UK
• 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.
• 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
• The application process consists of a 30 min phone call with a recruiter, an initial call with someone from the team, followed by a take-home test and 2~3 hours video interviews. We promise not to ask you any brain teasers or trick questions.

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