Lead Machine Learning Scientist, FinCrime
M
MonzoFinancial Services
Cardiff, London or Remote (UK)Full-TimeSenior
SalaryÂŁ115,000 - ÂŁ150,000 + Incentive Awards tied to your performance
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Job Details
- Required Skills
- PythonSQLMachine LearningDeep LearningMLOps
Requirements
- 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.
- Experience developing and shipping deep learning, graph-based, and/or sequence-based ML architectures to production.
- Extensive experience writing production Python code.
- Strong command of SQL.
- Comfortable working in a team that deals with ambiguity and experience helping team members and stakeholders resolve that ambiguity.
- Product mindset with a focus on customer outcomes and data-informed decision making.
- Ability to communicate complex technical ideas to non-technical colleagues.
- Experience with financial crime and regulated institutions is a plus.
- Commercial experience writing critical production code and working with microservices is a plus.
Responsibilities
- Work with stakeholders across the organization to identify and scope out the most impactful opportunities to tackle Financial Crime and Fraud with Machine Learning.
- Lead 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.
- Provide technical leadership to drive up levels of technical expertise and best practice across the Machine Learning discipline, leading by example and mentoring others.
- Work 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.
- Leverage deep experience of developing and deploying advanced Machine Learning models to automatically and accurately detect suspicious user behaviours.
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