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# Lead Data Scientist - Treasury Liquidity

- **Company:** WISE
- **Location:** London, UK
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Amazon Web Services, Data Analysis, Microsoft Azure, Big Data, Cloud Computing, Data Warehousing, Apache Hadoop, Python (Programming Language), Machine Learning, Google Cloud, Apache Spark
- **Published:** November 2, 2026
- **Apply:** https://find.jobs/jobs-near-me/apply/ats-redirect/?id=3044789439-2

## About the Role

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.QualificationsA bit about you: Strong Python knowledge. Ability to read through code.
Demonstrable experience collaborating with engineers.Experience with big data technologies such as Hadoop, Spark, or similar. Familiarity with cloud platforms (e.g., AWS, GCP, Azure) and data warehousing solutions.Strong knowledge in at least a few of the following areas: statistics, machine learning, linear algebra, optimisation.A strong product mindset with the ability to operate autonomously while working in a cross-functional and cross-team environmentGood communication skills and ability to get the point across to non-technical individuals;Strong problem solving skills with the ability to help refine problem statements and figure out how to solve them.Some extra skills that are great (but not essential): Experience in supply/demand modelling and forecasting - could be in supply chain optimisation or liquidity management in a financial company.Additional InformationFor everyone, everywhere. We're people building money without borders - without judgement or prejudice

## Description

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 launchesLiquidity Risk modelling and analysisDevelop 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