Lead Data Scientist - Liquidity

Salary: £66,000 - 106,000 per year

Requirements:

• Strong Python knowledge and the 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 such as AWS, GCP, or 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 in a cross-functional and cross-team environment.
• Good communication skills and the ability to explain ideas clearly to non-technical individuals.
• Strong problem-solving skills with the ability to refine problem statements and determine solutions.
• Experience in supply and demand modelling and forecasting, ideally in supply chain optimisation or liquidity management, is a plus.

Responsibilities:

• Work closely with Treasury operations to develop supply and demand forecasts and incorporate them into real-time money movement processes across a multi-region portfolio of products and currencies.
• Conduct rigorous data analysis to support liquidity efficiency initiatives, balancing sufficiency and excess.
• Collaborate with engineering teams to implement models within our treasury operational back office, ensuring scalability and operational efficiency.
• Develop bespoke models and analyses in preparation for stress events and new product launches.
• Develop models and infrastructure to understand liquidity consumption by our 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.
• Explain complex concepts and propose strategies that align with our risk appetite and business objectives.

Technologies:

• AWS
• Azure
• Big Data
• Cloud
• GCP
• Hadoop
• Support
• Machine Learning
• Network
• Python
• Spark

More:

We are Wise, a global technology company on a mission to make it easier and cheaper to move and manage money across borders. We are building a new network for the worlds money and this role sits within our dynamic Treasury team as a Lead Data Scientist focused on liquidity management modelling. You will help ensure we have enough cash in the right place at the right time while keeping liquidity risk under control. We offer a profitable company with stock options, a hybrid working model, an annual personal development budget, and visa and relocation support. We are proud of our diverse, equitable, and inclusive international team and the flexibility we provide for life and work.

last updated 34 week of 2026