Monzo - Lead Machine Learning Scientist, FinCrime

• As a technical individual contributor, you’ll be providing technical leadership and shipping highly impactful ML-based solutions. You’ll be embedded in a cross functional product squad, working closely with product managers, data scientists, backend engineers and designers in an agile environment. You’ll also be a technical leader within the Machine Learning discipline, helping to steer technical work and drive up standards. • 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. • Working closely with our MLOps team to steer the ongoing development of tools to enable rapid iteration of models and optimisations of the full ML model lifecycle. • You should apply if: • What we’re doing here at Monzo excites you! • 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