Quantitative Researcher / Developer (Data Science) - Treasury FX

Wise
London
Workplace: HybridFull timeGBP 90,500 - 127,000 annuallyFunction: Capital Markets, Trading & QuantExperience: 4+ yearsSkills: ["Quantitative reasoning","Cross-functional communication","Stakeholder engagement","Product mindset","Incident response"]

Own quantitative models and production infrastructure for Wise’s Treasury FX pricing, risk, and trading systems. Work with a Treasury FX team spanning quants, traders, analysts, product managers, and engineers to deliver Python-first, production-grade quant platform capabilities—multi-instrument pricing, forecasting, monitoring, and risk analytics. Contribute to both research and engineering tracks through backtesting, real-time reliability, validation against realized outcomes, and stakeholder collaboration.

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FursaFursa
Wise
Wise
14 hours ago

Quantitative Researcher / Developer (Data Science) - Treasury FX

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Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 12 hours agoStatus: Live
Reposted: similar role first listed 1 week ago

Job Summary

Own quantitative models and production infrastructure for Wise’s Treasury FX pricing, risk, and trading systems. Work with a Treasury FX team spanning quants, traders, analysts, product managers, and engineers to deliver Python-first, production-grade quant platform capabilities—multi-instrument pricing, forecasting, monitoring, and risk analytics. Contribute to both research and engineering tracks through backtesting, real-time reliability, validation against realized outcomes, and stakeholder collaboration.
Location: London
Workplace: Hybrid
Employment Type: Full time · Permanent
Job Function: Capital Markets, Trading & Quant
Seniority: Mid level

Key Responsibilities

  • •Help own quantitative models and production infrastructure for FX pricing, risk, and trading systems.
  • •Implement quantitative work from research/prototype through reliable production use in Python-first platforms.
  • •Validate models/services via backtesting, monitoring, and performance checks against realized outcomes.
  • •Drive deployment operations including incident response, root-cause analysis, and continuous improvement with stakeholders.
  • •Build and maintain supporting assets such as shared quant libraries and CI/CD pipelines for operational excellence.

Pay and Benefits

Salary: GBP 90,500 - 127,000 annually

Key Requirements

  • •4+ years of relevant quantitative or engineering experience with strong Python development skills.
  • •Strong quantitative background to read models and reason about correctness.
  • •Experience taking quantitative work into production, owning validation, monitoring, and improvement.
  • •For Researcher: ability to translate open-ended financial problems into quantitative models and explain assumptions/limitations.
  • •For Developer: experience with streaming systems, real-time data pipelines, or event-driven architectures, plus testing/monitoring/debugging under load.
Experience:4+ years
Skills:Quantitative reasoningCross-functional communicationStakeholder engagementProduct mindsetIncident response
Languages:English
Tech Stack:PythonCI/CDMicroservicesDatabasesReal-time pricingRisk analyticsVaRStress testingScenario analysisMonte CarloKafkaFlinkRedisSnowflakeIcebergSparkData lakeData warehouseRoot-cause analysisBacktesting

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
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