Lead Data Scientist - Treasury Markets Quant

Responsibilities

• Own and operate the production infrastructure behind FX pricing, risk, and trading systems
• Develop and maintain Python microservices that run quantitative models in production
• Manage monitoring, alerting, and reliability for real-time pricing and risk systems
• Build and maintain shared quantitative libraries used across multiple services
• Oversee CI/CD pipelines, deployment, and operational excellence
• Lead incident response and root cause analysis for production issues

Requirements

• 4+ years of experience building and maintaining production Python systems
• Strong experience with microservices, databases, and production infrastructure
• Experience with streaming systems, real-time data pipelines, or event-driven architectures (e.g., Kafka, Flink, Redis)
• Quantitative background in mathematics, physics, engineering, or finance
• Proven experience with testing, monitoring, and debugging complex systems under load
• Strong communication skills with the ability to work cross-functionally with quants, traders, and engineers

Preferred Qualifications

• Experience in FX or financial markets
• Knowledge of term structure modelling, stochastic calculus, or Monte Carlo methods
• Familiarity with interest rate curve bootstrapping or algorithmic execution
• Experience with data lake or warehouse technologies such as Snowflake, Iceberg, or Spark

About the Company

Wise is a global technology company on a mission to make moving money across borders instant, convenient, transparent, and much cheaper. We are building a new network for the world's money, serving millions of customers from retail users to tier-1 banks.