Referrals Only - Staff Machine Learning Scientist, Financial Crime

• As our most senior technical IC, you’ll be providing key technical leadership and shipping highly impactful ML-based solutions. You’ll be empowered to work across the FinCrime collective identifying the most impactful areas and leading solution development. • You’ll work with our mission-oriented cross functional product squads, collaborating closely with product managers, data scientists, backend engineers and designers in an agile environment. • You’ll be expected to use your technical expertise to advise senior business stakeholders and help to set and advance our strategic direction in FinCrime. • 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 organisation to identify and scope out the most impactful opportunities to tackle Financial Crime and Fraud with Machine Learning. • Bringing the learnings from your previous successes in designing and building advanced Machine Learning based real time detection systems to lead advancements in our Financial Crime and Fraud detection capabilities, for example utilising deep learning, graph-based, and sequence-based architectures. • 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 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 have experience developing and shipping deep learning, graph-based, and/or sequence-based ML architectures to production and delivering business impact in the domain of fraud, financial crime, security or trust and safety. • 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 • The interview process: • Our interview process involves 3 main stages. We promise not to ask you any brain teasers or trick questions! • 30 minute recruiter call • 45 minute call with hiring manager • 4 x 1-hour video calls with various team members • Our average process takes around 3-4 weeks but we will always work around your availability. You will have the chance to speak to our recruitment team at various points during your process but if you do have any specific questions ahead of this please contact us on [email protected]. Please also use that email to let us know if there's anything we can do to make your application process easier for you, because of disability, neurodiversity or any other personal reason.