Lead Data Scientist – Liquidity

Overview

In this role, you lead the design, implementation, and refinement of liquidity forecasting and management models within Wise’s Treasury team. You’ll drive data-driven solutions to optimise liquidity usage across regions and products, collaborating with cross-functional partners to scale models and inform strategic decisions. You’ll tackle risk-aware forecasting, stress preparedness, and real-time liquidity insights, contributing to Wise’s mission to move money efficiently for customers worldwide. This is a hands-on, high-impact role with a clear hook in optimizing cash placement and risk across a multi-region product portfolio.

Pay / Benefits

• Stock options in a profitable company
• Hybrid working model
• Annual personal development budget
• Visa and relocation support

Responsibilities

• Develop supply and demand forecasts and embed them into real-time money movement processes across multi-region product portfolios
• Perform rigorous data analysis to improve liquidity efficiency and balance sufficiency with excess
• Collaborate with engineering to implement scalable models in the treasury backoffice
• Create bespoke models for stress events and new product launches
• Build models to understand liquidity consumption by products and translate risk scenarios into actionable insights
• Document and present model results and risk assessments to senior stakeholders and the Risk team

Key requirements

• Strong Python knowledge and ability to read and understand code
• Proven collaboration with engineers
• Experience with big data technologies (Hadoop, Spark)
• Familiarity with cloud platforms (AWS, GCP, Azure) and data warehousing
• Knowledge in statistics, machine learning, linear algebra, or optimisation
• Autonomous work style with a strong product mindset and cross-functional collaboration
• Good communication skills for non-technical audiences
• Problem-solving capabilities to refine statements and determine solutions

• cross-functional collaboration
• clear communication
• problem solving
• Python
• Hadoop
• Spark

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