• The ideal candidate has experience working in financial crimes, and is passionate about stopping it
• They’re also intellectually curious, naturally analytical, and have a drive to create customer value in all the work they do
• Have experience developing and deploying machine learning models at scale
• Have experience of working in a scientific manner and creating high-quality results
• Be able to effectively explain complex technical concepts and results to a wide variety of audiences – in both written and verbal settings
• Be able to take a Product lens to work – thinking about the customers value as the primary goal of everything we do

Desirable

• The Payment Security & Risk Data Science team are looking for a Data Scientist to join the team and help develop, deploy and support our suite of models used to prevent financial crime globally
• Perform proof-of-concept projects, engage in product design and build prototypes
• Collaborate across different business teams to gather requirements and develop projects to deliver on agreed outputs
• Use the full range of data science based techniques to develop new and novel algorithms to aid existing and new financial crime products
• Be able to perform novel research to help us and our clients understand the different criminal behaviours in payments data
• Think about how derived insights can be turned into new products and services we can offer to external clients
• Be ready to learn new technologies as required and engage with legacy and future technology stacks, in the UK and internationally
• Write white papers, patents, and client facing data visualisations
• Consider the full impact of your work. This means considering privacy, security, and regulation, as well as the performance of your code and the accuracy of your models