Lead Data Scientist - Treasury Liquidity

Location: Global

Team: General

About the Role

Wise is a global technology company revolutionising how the world moves and manages money, with min fees, max ease, and full speed. As Lead Data Scientist - Treasury Liquidity, you'll join our dynamic Treasury team to design, implement, and refine cutting-edge models that forecast and optimise liquidity usage across our multi-region portfolio. Your work will directly impact millions of customers by ensuring we have the right cash in the right place at the right time, while keeping liquidity risk under control. You'll collaborate closely with Treasury operations, engineering, product, and risk teams to develop data-driven solutions that enhance efficiency and support new product launches and stress events. From building real-time supply-demand forecasts to translating complex risk scenarios into actionable strategies, your models will influence organisation-wide decisions and align with Wise's risk appetite. This role offers the chance to drive meaningful impact in a fast-paced, inclusive environment committed to diversity, equity, and inclusion. Join a truly international team where flexible working, generous benefits, and a mission-driven culture empower you to thrive. Help us build money without borders—for everyone, everywhere.

Key Responsibilities

• Develop supply and demand forecasts for liquidity management across multi-region products and currencies
• Conduct data analysis to optimise liquidity efficiency and balance sufficiency with minimising excess
• Collaborate with engineering to implement scalable models in treasury backoffice systems
• Build bespoke models for stress events and new product launches
• Create models to analyse liquidity consumption by company products
• Partner with product and operations teams to turn liquidity risk scenarios into actionable insights
• Document and present model results to senior stakeholders, controllers, and Risk team
• Influence decision-making to ensure liquidity risk aligns with business objectives

Required Qualifications

• Advanced degree in Data Science, Statistics, Mathematics, Computer Science, or a related quantitative field
• 5+ years of experience in data science roles, with a focus on financial modelling or liquidity management
• Proven track record developing forecasting models for supply and demand in complex environments
• Strong experience with liquidity risk modelling and stress testing
• Experience collaborating with cross-functional teams including treasury, engineering, and risk
• Ability to communicate complex technical concepts to non-technical stakeholders

Preferred Qualifications

• Experience in fintech or treasury operations
• Knowledge of multi-currency liquidity management
• Background in real-time data processing and operational systems
• Familiarity with regulatory requirements for financial risk management

Required Skills

• Expertise in liquidity management modelling
• Proficiency in statistical modelling and forecasting techniques
• Advanced Python or R for data analysis and modelling
• Experience with SQL and big data tools (e.g., Spark, Hadoop)
• Knowledge of machine learning for time-series forecasting
• Strong understanding of financial markets and treasury operations
• Risk modelling and scenario analysis skills
• Data visualisation tools (e.g., Tableau, Power BI)
• Cross-functional collaboration and stakeholder communication
• Problem-solving in high-stakes, real-time environments

Benefits

• RSUs (stock options)
• Flexible working
• Parental leave
• Learning budget
• Paid sabbatical after 4 years
• Health insurance
• Company retreat
• Wise card

Wise is an equal opportunity employer committed to building a diverse workforce.