The opportunity
🚀 We’re on a mission to make money work for everyone.
What you'll do
Automatically and accurately detect suspicious user behaviours while: minimising impact to genuine customers and operational costs
Adapt quickly and appropriately to changing fraud and financial crime trends,: ensuring our detection systems remain performant through time.
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.
What they're looking for
- 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
