Senior Machine Learning Scientist, Financial Crime

5 days ago

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Logo of Monzo Bank

Monzo Bank

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

As a Lead Machine Learning Scientist at Monzo, you'll lead technical efforts to develop financial crime detection models. You'll be providing technical leadership and shipping highly impactful ML-based solutions. This will involve working with stakeholders across the organization to identify and scope out the most impactful opportunities to tackle Financial Crime and Fraud with Machine Learning. Leading the design and development of advanced real time Machine Learning models, for example exploring how neural network, graph-based, and sequence-based architectures can drive improvements in detection of financial crime. Providing technical leadership to drive up levels of technical expertise and best practice across the Machine Learning discipline, leading by example and mentoring others.

Requirements

You have a multiple year track record of excellence leading the development and deployment of advanced Machine Learning models to tackle real business problems preferably in a fast moving tech company You have experience developing and shipping deep learning, graph-based, and/or sequence-based ML architectures to production and delivering business impact 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 a self-starter mindset; you proactively identify issues and opportunities and tackle them without being told to do so Reducing financial crime and protecting customers with data driven strategies 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 Experience working with financial crime and in regulated institutions Commercial experience writing critical production code and working with microservices

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 training courses and conferences ➕And much more, see our full list of benefits here

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