Lead Data Scientist - Liquidity
Core
Designing, implementing, and refining models to forecast and manage liquidity, ensuring sufficient cash in the right place at the right time while controlling liquidity risk.
Role type
Lead Data Scientist (Liquidity Management)
Builds
Real-time money movement processes, supply and demand forecasts, bespoke models for stress events and new product launches, and liquidity risk infrastructure.
Domain
Financial Services / Liquidity Management / Treasury
Deliverable
production ML models
Required skills
Python, Big Data technologies (Hadoop, Spark), Cloud platforms (AWS, GCP, Azure), Data warehousing, Statistics, Machine Learning, Linear Algebra, Optimisation
Preferred skills
Supply/demand modelling and forecasting experience, Financial industry experience
Technologies
Python, Hadoop, Spark, AWS, GCP, Azure
Responsibilities
Develop supply and demand forecasts for multi-region portfolios; Collaborate with engineering to implement scalable models; Develop bespoke models for stress events and product launches; Partner with product teams to translate liquidity risk scenarios into actionable insights; Document and present model results and risk assessments to senior stakeholders.
Seniority
Lead, hands-on IC with strategic influence
