Lead Data Scientist

A lead data scientist specialised in liquidity management modelling is sought to join Wise's Treasury team. The role involves designing, implementing, and refining models that forecast and manage liquidity, influencing organisational decision-making. The candidate will work with cross-functional teams to develop solutions that optimise liquidity operations across multiple regions and currencies. They will conduct data analysis to improve liquidity efficiency and collaborate with engineering teams to scale models in the treasury's operational systems. The position also entails developing risk models, analysing liquidity consumption, and presenting insights to senior stakeholders to support strategic decisions. Strong Python skills, experience with big data platforms, and knowledge of statistics or machine learning are essential for this role.