Lead Machine Learning Scientist (FinCrime)

Join Monzo, a fast-growing fintech company, as a Lead Machine Learning Scientist in our Financial Crime Data team. In this role, you will build and iterate on our financial crime defensive capabilities, ensuring the safety of Monzo and our customers. You will work with billions of rows of data, develop advanced machine learning models, and provide technical leadership within the machine learning discipline. This position offers flexible working hours, a yearly salary review, a learning budget, and various health and wellness benefits.

• Lead the design and development of advanced real-time Machine Learning models to improve the detection of financial crime.
• Provide technical leadership and mentorship to drive up levels of technical expertise and best practice across the Machine Learning discipline.
• Work closely with stakeholders across the organization to identify and scope out the most impactful opportunities to tackle Financial Crime and Fraud with Machine Learning.
• You have a self-starter mindset; you proactively identify issues and opportunities and tackle them without being told to do so
• 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 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’re adaptable, curious and enjoy learning new technologies and ideas
• 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
• Reducing financial crime and protecting customers with data driven strategies sounds exciting to you
• You’re comfortable working in a team that deals with ambiguity and have experience helping your team and stakeholders resolve that ambiguity
• 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 want to be involved in building a product that you (and the people you know) use every day
• You have experience developing and shipping deep learning, graph-based, and/or sequence-based ML architectures to production and delivering business impact
• Experience working with financial crime and in regulated institutions
• Commercial experience writing critical production code and working with microservices