Treasury FX Quant: Researcher & Developer, Data Science

Wise

Greater London

On-site

GBP 90,000 - 130,000

Full time

5 days ago

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Job summary

Wise is seeking a quantitative researcher or developer to join the Treasury FX Data Science team, helping own the quantitative models and production infrastructure behind FX pricing, risk and trading. You will collaborate with quants, traders, analysts and engineers to build production-grade solutions that scale across USD 250bn+ in annual FX volume.

You’ll focus on either production quantitative engineering or applied modelling, with a Python-first platform, backtesting, monitoring and

Qualifications

4+ years of relevant quantitative or engineering experience with strong Python development skills.
Quantitative background in maths, physics, engineering or finance; ability to read a model and reason about correctness.
Familiarity with FX or financial markets is a plus.
Experience taking quantitative work into production and owning its ongoing validation, monitoring and improvement.

Responsibilities

Primary focus in either production quantitative engineering or applied quantitative modelling.
Python implementation of quantitative work from research or prototype through reliable production use.
Validation, backtesting and monitoring of model and service performance against realised outcomes.
Deployment, incident response, root-cause analysis and continuous improvement with stakeholders.
Shared quant libraries used across multiple services.
CI/CD pipelines, deployments and operational excellence.
Monitoring, alerting, and reliability for real-time pricing and risk systems.