Lead Data Scientist - Liquidity at Wise
United Kingdom
Posted
on-site · full-time · Visa sponsorship
Responsibilities:
- Own model development for liquidity forecasting, allocation and optimisation across multiple currencies and regions.
- Partner with Treasury operations to translate forecasts into execution rules and real-time movements.
- Create scenario and stress-testing frameworks for new products, market disruptions and operational risks.
- Build product-level consumption metrics and tools to quantify liquidity usage and efficiency gains.
- Communicate model outputs and recommended actions to senior stakeholders and the Risk team; document assumptions and limitations.
- Work with engineering to deploy models, ensure reproducibility, monitoring and performance at scale.
Requirements:
- Proven experience with Python and productionising analytical models; readable, maintainable code practices.
- Familiarity with big-data ecosystems (Hadoop, Spark, or similar) and cloud data warehouses (AWS/GCP/Azure).
- Strong quantitative skills: statistics, forecasting, optimisation or machine learning applied to finance or operations.
- Ability to collaborate across product, engineering and operational teams and present to non-technical stakeholders.
- Experience in treasury, liquidity management or financial modelling is advantageous.