Quantitative Researcher/Developer, Treasury FX

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

Salary: £66,000 - 106,000 per year

Requirements

• 4+ years of relevant quantitative or engineering experience, with strong Python development skills.
• A quantitative background in mathematics, physics, engineering, or finance, with the ability to read a model and reason about its correctness.
• Experience taking quantitative work into production and owning its ongoing validation, monitoring, and improvement.
• Clear communication skills and the ability to work cross-functionally with quants, analysts, traders, product managers, and engineers.
• A product mindset, with an understanding of who uses your systems and why.
• For the Quantitative Researcher track: strong experience in quantitative research or financial modelling, with depth in areas such as pricing, forecasting, risk, or trading.
• For the Quantitative Researcher track: ability to translate open-ended financial problems into quantitative models, select appropriate statistical or numerical methods, and explain assumptions and limitations.
• For the Quantitative Researcher track: experience designing backtests and out-of-sample validation while accounting for data leakage, transaction costs, and changing market conditions.
• For the Quantitative Developer track: strong experience with microservices, databases, and production infrastructure.
• For the Quantitative Developer track: experience with streaming systems, real-time data pipelines, or event-driven architectures such as Kafka, Flink, or Redis.
• For the Quantitative Developer track: experience testing, monitoring, and debugging complex systems under load.
• Bonus experience includes FX or financial markets, term structure modelling, stochastic calculus or Monte Carlo methods, interest rate curve bootstrapping, algorithmic execution, and data lake or warehouse technologies such as Snowflake, Iceberg, or Spark.

Responsibilities

• Build and operate the quantitative models and production systems behind FX pricing, risk, and trading.
• Own a primary focus in either production quantitative engineering or applied quantitative modelling, with opportunities to contribute across both areas.
• Implement quantitative work in Python, taking it from research or prototype through reliable production use.
• Validate, backtest, and 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 multiple services.
• Improve CI/CD pipelines, deployments, and operational excellence.
• Monitor and improve the reliability of real-time pricing and risk systems, including alerting.
• Manage market data and onboard new pipelines.
• Design quantitative infrastructure and systems with the engineering team.
• Develop backtesting frameworks, model validation, and risk modelling with the Risk team, including VaR, stress testing, and scenario analysis.
• Contribute to customer behaviour modelling, pricing strategy, and product development.
• Work with product teams to translate quantitative insights into customer-facing decisions.

Technologies

• CI/CD
• Flink
• Support
• Kafka
• Python
• Redis
• Snowflake
• Spark
• microservices
• Network
• Quant

More

We are Wise, a global technology company building a better way to move and manage money across borders, with low fees and ease of use. We are hiring a full-time Quantitative Researcher/Developer for our Treasury FX Data Science team. Our team owns the Python-first production platform for FX pricing, product modelling and monitoring, risk analytics, and trading strategies, supporting more than USD 250 billion in annual FX volume. You will work alongside quants, traders, analysts, product managers, and engineers. We welcome people from all backgrounds and believe diverse, equitable, and inclusive teams help us build better products and support everyones ability to contribute and grow.

last updated 40 week of 2026