Lead Data Scientist - Treasury Liquidity
Wise
Job Description
About the Role:
As part of the team, you’ll be at the forefront of designing, implementing, and refining models that forecast and manage liquidity, and influencing decision-making processes across the organisation. Your mission is to help us have enough cash in the right place at the right time and make sure we keep the liquidity risk under control. You will work closely with cross-functional teams to develop data-driven solutions that enhance our liquidity management and operational efficiency.
Here’s how you’ll be contributing:
Liquidity management
Work closely with Treasury operations to develop supply and demand forecasts and incorporate them into the real-time money movement processes across a multi-region portfolio of products and currencies.
Conduct rigorous data analysis to support liquidity efficiency initiatives, ensuring a balance between sufficiency and excess.
Collaborate with engineering teams to implement models within the treasury's operational backoffice, ensuring scalability and operational efficiency.
Develop bespoke models and analyses in preparation for stress events and new product launches
Liquidity Risk modelling and analysis
Develop models and infrastructure for understanding liquidity consumption by company’s products.
Partner with product and operational teams to translate complex liquidity risk scenarios into actionable insights for customer-focused solutions.
Document and present model results and risk assessments to senior stakeholders, controllers and the Risk team (the second line of defence). Explain complex concepts and propose strategies that align with the company’s risk appetite and business objectives.