Description
At Moneyfarm we use technology to make saving and investing accessible to everyone in a simple and transparent way. We build software that augments and optimises our in-house financial advisory expertise to offer our customers the best use of their money. We nurture a product and technology practice where everybody is trusted with autonomy in their role to responsibly and continuously deliver business value supported by a friendly and creative environment free from ownership handovers, gatekeepers or bureaucracy, that pushes you towards mastery in your craft.
Role
“It is a capital mistake to theorize before one has data.” – Sherlock Holmes
“Data is a precious thing and will last longer than the systems themselves” – Tim Berners-Lee
You are primarily a mathematician that happens to have specialised in data science.
You have a passion for data, insight and it’s supporting technologies.
You enjoy finding accurate answers to difficult problems and providing actionable insight.
You have real commercial experience as a data scientist and are now hungry to step up to lead a team/function.
You enjoy the duality of the challenge at this stage of your career...part hands on “doing the do” and part leadership/executing through people.
You can translate business requirements into technical solutions and you are able to communicate your findings to a non-technical audience.
You are an influential team player with good interpersonal skills, capable of building and maintaining close relationships with your peers and senior stakeholders. You are reliable and you rely on others.
You naturally stay within the scope of a problem. You are biased to action: you prefer to deliver the good instead of arguing what perfection is.
You are very attentive to detail. You can spot easily the missing pieces, even trivial ones. You always strive for quality in everything you do and you see a mistake as a learning opportunity.
You have the passion and enthusiasm to learn new technologies and techniques. You have a pragmatic approach to challenges, favouring the best solution for the given context over the ideal one.
You will make mistakes. We'll pick you up. You will learn from them. You'll laugh a lot.
Responsibilities
CLOSED VACANCY
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