Quantitative Researcher / Developer (Data Science) - Treasury FX

About the Position

We are seeking a Quantitative Researcher or Quantitative Developer to join our Treasury FX Data Science team. You will help build and operate the models and production systems behind FX pricing, risk, and trading. Your work will have a direct impact on Wise’s mission and millions of our customers.

Responsibilities

• Quantitative Researcher:

  • Develop and improve pricing, forecasting, risk analytics, and hedging methodologies with rigorous backtesting and stakeholder engagement.
  • Translate open-ended financial problems into quantitative models, choosing appropriate statistical or numerical methods, and explaining assumptions and limitations.
  • Design backtests and out-of-sample validation, accounting for data leakage, transaction costs, and changing market conditions.

• Quantitative Developer:

  • Develop and improve production services, shared quant libraries, and engineering reliability.
  • Implement Python solutions from research or prototype through reliable production use.
  • Validate, backtest, and monitor model and service performance against realized outcomes.
  • Deploy, respond to incidents, perform root-cause analysis, and continuously improve with stakeholders.
  • Develop shared quant libraries used across multiple services.
  • Implement CI/CD pipelines, deployments, and operational excellence.
  • Ensure monitoring, alerting, and reliability for real-time pricing and risk systems.

Requirements

• Core Skills:

  • 4+ years of relevant quantitative or engineering experience with strong Python development skills.
  • Quantitative background in maths, physics, engineering, or finance.
  • Experience taking quantitative work into production and owning its ongoing validation, monitoring, and improvement.
  • Clear communicator who can work cross-functionally with other quants, analysts, traders, product managers, and engineers.

• Secondary Skills:

  • Familiarity with FX or financial markets.
  • Experience with term structure modelling, stochastic calculus, or Monte Carlo methods.
  • Knowledge of interest rate curve bootstrapping.
  • Algorithmic execution experience.
  • Data lake or warehouse experience (Snowflake, Iceberg, Spark, etc.).

Nice to Have

• Experience with streaming systems, real-time data pipelines, or event-driven architectures (Kafka, Flink, Redis, etc.).
• Experience with testing, monitoring, and debugging complex systems under load.
• Strong experience with microservices, databases, and production infrastructure.

We Offer

• Competitive salary: GBP 90,500 - GBP 127,000 per year.
• Full-time position.
• Opportunity to work with a diverse and inclusive team.
• Professional development and growth opportunities.

About the Company

Wise is a global technology company, building the best way to move and manage the world’s money. Min fees. Max ease. Full speed. Whether people and businesses are sending money to another country, spending abroad, or making and receiving international payments, Wise is on a mission to make their lives easier and save them money. As part of our team, you will be helping us create an entirely new network for the world's money. For everyone, everywhere.

More about what we offer.

Job Location

United Kingdom

For everyone, everywhere. We're people building money without borders - without judgement or prejudice, too. We believe teams are strongest when they are diverse, equitable, and inclusive.

We're proud to have a truly international team, and we celebrate our differences. Inclusive teams help us live our values and make sure every Wiser feels respected, empowered to contribute towards our mission, and able to progress in their careers.

If you want to find out more about what it's like to work at Wise visit Wise.Jobs.

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