Senior Lead Machine Learning Scientist

September 7

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Monzo Bank

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We're a bank that lives on your phone, on a mission to make money work for everyone.

Digital Retail Bank • Fintech • digital banking • smartphone

1001 - 5000

Description

• We’re on a mission to make money work for everyone. • We’re waving goodbye to the complicated and confusing ways of traditional banking. • With our hot coral cards and get-paid-early feature, combined with financial education on social media and our award winning customer service, we have a long history of creating magical moments for our customers! • We’re not about selling products - we want to solve problems and change lives through Monzo. • Machine Learning Scientists have ownership across the entire ML lifecycle, from from formulating ML problems to deploying models and monitoring their impact on key product and business metrics. • Our Machine Learning Scientists collaborate in cross-functional squads across Data, Engineering, Product, and Risk, tackling a broad range of issues including fraud detection and prevention, transaction monitoring for various suspicious activities, customer risk assessment, and operational tooling. • As a Senior Lead ML Scientist, you’ll be the most senior Individual Contributor (IC) Machine Learning Scientist, leading advancements in fraud and financial crime prevention. • You’ll be providing key technical leadership and shipping highly impactful ML-based solutions, working with cross functional product squads, collaborating closely with product managers, data scientists, backend engineers and designers in an agile environment.

Requirements

• You have a multiple year track record of excellence leading the technical work of a team in the development and deployment of advanced Machine Learning models tackling real business problems, preferably in a fast moving tech company • You're impact driven and excited to own the end to end journey that starts with a business problem and ends with your solution having a measurable impact in production • You have experience in, and a passion for, mentoring other ML practitioners, sharing knowledge and raising the technical bar across the team. • You have a self-starter mindset; you proactively identify the most impactful issues and opportunities and tackle them without being told to do so • Using advanced machine learning techniques to minimise financial crime and protect customers from fraud sounds exciting to you • You have extensive experience writing production Python code and a strong command of SQL. You are comfortable using them every day, and keen to learn Go lang which is used in many of our backend microservices • you’re comfortable working in a team that deals with ambiguity and have experience helping your team and stakeholders resolve that ambiguity • you want to be involved in building a product that you (and the people you know) use every day • you have a product mindset: you care about customer outcomes and you want to make data-informed decisions • You're excited about fast-moving developments in Machine Learning and can communicate those ideas to colleagues who are not familiar with the domain • You’re adaptable, curious and enjoy learning new technologies and ideas

Benefits

✈️ We can help you relocate to the UK ✅ We can sponsor visas 📍This role can be based in our London office, but we’re open to distributed working within the UK (with ad hoc meetings in London). ⏰ 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. 📚Learning budget of £1,000 a year for books, training courses and conferences ➕And much more, see our full list of benefits here If you prefer to work part-time, we'll make this happen whenever we can - whether this is to help you meet other commitments or strike a great work-life balance.