Treasury FX Quant: Research & Production Engineer

Wise; Greater London; On-site; GBP 66,000 - 106,000; Full time

Job summary

Wise is hiring a full-time Quantitative Researcher/Developer in the Treasury FX Data Science team. You will build and operate Python-based quantitative models and production systems for FX pricing, risk, and trading, collaborating with quants, traders, analysts, and product managers.

Role emphasizes implementing research into robust production, backtesting, and continuous improvement of real-time pricing pipelines, with exposure to data streaming and CI/CD practices.

Qualifications

• 4+ years of relevant quantitative or engineering experience with strong Python development skills.
• Quantitative background in mathematics, physics, engineering, or finance; ability to read a model and assess correctness.
• Experience taking quantitative work into production and owning validation, monitoring, and improvement.
• Clear communication and ability to work cross-functionally with quants, analysts, traders, product managers, and engineers.
• Product mindset with understanding of users of your systems.
• For Quant track: strong experience in quantitative research or financial modelling (pricing, forecasting, risk, or trading).
• For Quant Developer track: experience with microservices, databases, and production infrastructure.

Responsibilities

• Build and operate quantitative models and production systems behind FX pricing, risk, and trading.
• Own production focus in quantitative engineering or applied modelling.
• Implement quantitative work in Python from research to production.
• Validate, backtest, monitor model and service performance against realised outcomes.
• Handle deployment, incident response, root-cause analysis, and continuous improvement with stakeholders.
• Develop shared quantitative libraries used across services.
• Improve CI/CD pipelines, deployments, and operational excellence.
• Monitor and improve reliability of real-time pricing and risk systems.

Skills

Python

Quantitative analysis

Production deployment

Cross-functional collaboration

Model validation

Backtesting

Real-time data

Streaming systems

Communication

Tools

Kafka

Flink

Redis

Snowflake

Spark

Microservices

Job description

Wise is hiring a full-time Quantitative Researcher/Developer in the Treasury FX Data Science team. You will build and operate Python-based quantitative models and production systems for FX pricing, risk, and trading, collaborating with quants, traders, analysts, and product managers.

Role emphasizes implementing research into robust production, backtesting, and continuous improvement of real-time pricing pipelines, with exposure to data streaming and CI/CD practices.