Lead Data Scientist - Liquidity

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

Lead liquidity-focused data science work within the Treasury team, designing and improving models that forecast and manage liquidity across a multi-region portfolio. Partner with Treasury operations and engineering to operationalize real-time liquidity processes, build bespoke models for stress events and new launches, and analyze liquidity consumption by products. Communicate model results and risk assessments to senior stakeholders, controllers, and the Risk team while ensuring liquidity risk remains within appetite.

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FursaFursa
Wise
Wise
1 day ago

Lead Data Scientist - Liquidity

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Source: Company careers pageValidated by: Fursa AI
Last checked: 5 hours agoStatus: Live

Job Summary

Lead liquidity-focused data science work within the Treasury team, designing and improving models that forecast and manage liquidity across a multi-region portfolio. Partner with Treasury operations and engineering to operationalize real-time liquidity processes, build bespoke models for stress events and new launches, and analyze liquidity consumption by products. Communicate model results and risk assessments to senior stakeholders, controllers, and the Risk team while ensuring liquidity risk remains within appetite.
Location: London
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Design, implement, and refine models that forecast and manage liquidity while improving liquidity usage impact.
  • •Work with Treasury operations to develop supply and demand forecasts and incorporate them into real-time money movement across products and currencies.
  • •Conduct rigorous data analysis to support liquidity efficiency initiatives and balance sufficiency vs. excess.
  • •Collaborate with engineering teams to implement models in the treasury operational backoffice with scalability and efficiency.
  • •Develop models for stress events and new product launches, and document/present results and risk assessments to senior stakeholders and the Risk team.

Pay and Benefits

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

Key Requirements

  • •Strong Python knowledge, including the ability to read through code.
  • •Experience collaborating with engineering teams to deliver data-driven solutions.
  • •Experience with big data technologies such as Hadoop or Spark (or similar).
  • •Familiarity with cloud platforms (AWS, GCP, or Azure) and data warehousing solutions.
  • •Strong knowledge in areas such as statistics, machine learning, linear algebra, and optimisation.
Skills:CommunicationProblem-solvingCross-functional collaborationAutonomyProduct mindset
Languages:English
Tech Stack:PythonHadoopSparkAWSGCPAzureData warehousing

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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