Staff Machine Learning Scientist, Financial Crime
Monzo
- London
- Permanent
- Part-time
- Lead our ongoing journey to build an advanced, scalable, extensible, automated fraud and FinCrime detection system that effectively prevents crime while minimising impact to genuine customers and operational costs.
- Ensure our detection systems can adapt quickly and appropriately to changing fraud and financial crime trends, remaining performant through time.
- 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 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
- 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
- 30 minute recruiter call
- 45 minute call with hiring manager
- 4 x 1-hour video calls with various team members