Lead Data Scientist - Liquidity

Wise
London
Workplace: HybridFull timeGBP 90,500 - 127,000 annuallyFunction: Data Science & Machine LearningSkills: ["Communication","Problem-solving","Autonomy","Cross-functional collaboration","Stakeholder management"]

Design, implement, and refine liquidity forecasting and management models for Wise’s Treasury team. Build supply/demand forecasting and real-time money movement models across products, currencies, and multi-region portfolios, while balancing sufficiency and excess. Develop liquidity consumption and stress-event models, translate risk scenarios into actionable insights, and partner with engineers to deliver models into Treasury’s operational backoffice. Communicate results to senior stakeholders and risk teams.

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Wise
Wise
4 hours ago

Lead Data Scientist - Liquidity

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Last checked: 4 hours agoStatus: Live

Job Summary

Design, implement, and refine liquidity forecasting and management models for Wise’s Treasury team. Build supply/demand forecasting and real-time money movement models across products, currencies, and multi-region portfolios, while balancing sufficiency and excess. Develop liquidity consumption and stress-event models, translate risk scenarios into actionable insights, and partner with engineers to deliver models into Treasury’s operational backoffice. Communicate results to senior stakeholders and risk teams.
Location: London
Workplace: Hybrid
Employment Type: Full time · Permanent
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Design, implement, and refine models that forecast and manage liquidity, improving liquidity usage and operational efficiency.
  • •Develop supply/demand forecasts and incorporate them into real-time money movement processes across multi-region product and currency portfolios.
  • •Build bespoke models and analyses for stress events and new product launches.
  • •Develop liquidity consumption models and infrastructure, partnering with product and operational teams to translate risk scenarios into actionable insights.
  • •Document and present model results and risk assessments to senior stakeholders, controllers, and the Risk team, aligning strategies with risk appetite and business objectives.

Pay and Benefits

Salary: GBP 90,500 - 127,000 annually
Equity and Bonus:Equity
Perks:EquityLearning BudgetRelocation

Key Requirements

  • •Strong Python knowledge and ability to read through code.
  • •Demonstrable experience collaborating with engineers to deliver data-driven solutions.
  • •Experience with big data technologies such as Hadoop or Spark, plus familiarity with cloud platforms (AWS, GCP, Azure) and data warehousing solutions.
  • •Strong knowledge in at least a few of statistics, machine learning, linear algebra, and optimisation.
  • •Ability to operate autonomously with a product mindset in a cross-functional environment and communicate complex ideas to non-technical stakeholders.
Experience:Financial servicesLiquidity managementTreasury
Skills:CommunicationProblem-solvingAutonomyCross-functional collaborationStakeholder management
Languages:English
Tech Stack:PythonHadoopSparkAWSGCPAzure

Company Brief

Wise
Wise (formerly TransferWise) is a London-based fintech that provides low-cost international money transfers, multi-currency accounts and payment infrastructure for individuals and businesses worldwide.
Industry: Payments
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: London, United Kingdom
Founded: 2011
Glassdoor
Glassdoor: 3.8
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