Quantitative Developer (Data Science) - Treasury FX

Wise; Greater London; On-site; GBP 120,000 - 180,000; Full time

Job summary

Wise is seeking a talented quantitative developer to join the Treasury Markets Data Science team. You will own Python-based production infrastructure powering FX pricing, risk and trading systems, with scope to expand into traditional quant domains.

Your work directly impacts Wise’s mission and millions of customers, as you manage risk across USD 250bn+ annual FX volume and collaborate with quants, traders, analysts, product managers and engineers to price, hedge and scale operations in real

Qualifications

• 4+ years 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 (Kafka, Flink, Redis etc.).
• Quantitative background in maths, physics, engineering or finance.
• Experience with testing, monitoring, and debugging complex systems under load.
• A product mindset and customer-centric thinking.
• Clear communicator who can work cross-functionally with quants, analysts, traders, product managers and engineers.

Responsibilities

• Own Python microservices that run quantitative models in production.
• Ensure monitoring, alerting, and reliability for real-time pricing and risk systems.
• Develop shared quant libraries used across multiple services.
• Maintain CI/CD pipelines, deployment, and operational excellence.
• Lead incident response and root cause analysis for production issues.

Skills

Production Python

Microservices

Databases

Streaming systems

Real-time data pipelines

Testing & debugging

Product mindset

Cross-functional communication

Education

Mathematics/Physics/Engineering/Finance degree

Tools

Kafka

Flink

Redis

Snowflake

Spark

Job description

Company Description

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 our mission and what we offer.

Job Description

We are seeking a talented quantitative developer to join our Treasury Markets Data Science team. This role focuses on owning and operating the production infrastructure behind our FX pricing, risk, and trading systems with the opportunity to broaden the scope of work into traditional quant aspects.

Your work will have a direct impact Wise’s mission and millions of our customers.

About the Role:

You’ll join the Treasury Markets Data Science team, owning the quantitative infrastructure that powers how Wise manages FX risk across a USD 250bn+ in annual FX volume- serving everyone from retail customers sending money abroad to tier-1 banks via Wise Platform.

The wider Treasury FX team includes quants, traders, analysts, product managers and engineers working together to price, hedge, manage and scale FX operations within Wise in real time. Within that, the Data Science team owns the quantitative platform:

We run a Python-first, production-grade quant platform: real-time curve construction, multi-instrument pricing, risk analytics, and trading strategy - all built and operated by the same team. Your primary focus is keeping these systems reliable, performant and well-engineered - while thinking deeply about how they serve customers and products. You’ll also contribute to the quantitative models themselves as you grow into the domain.

What you’ll own

• Python microservices that run quantitative models in production

• Monitoring, alerting, and reliability for real-time pricing and risk systems

• Shared quant libraries used across multiple services

• CI/CD pipelines, deployment and operational excellence

• Incident response and root cause analysis for production issues

Where you’ll grow

• Real-time curve construction (yield curves, FX forwards, vol surfaces)

• Pricing models for new instruments and products

• Trading strategy development and optimisation

• Risk modelling alongside the Risk team (VaR, stress testing, scenario analysis)

• Backtesting frameworks and model validation

• Customer behaviour modelling, pricing strategy and product launch support

• Collaborating with product teams to translate quantitative insights into customer-facing decisions

Qualifications

What we’re looking for

• 4+ years 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 (Kafka, Flink, Redis etc.)

• Quantitative background - maths, physics, engineering or finance - you can read a model and reason about correctness

• Experience with testing, monitoring, and debugging complex systems under load

• A product mindset - you think about who uses your systems and why

• Clear communicator who can work cross-functionally with other quants, analysts, traders, product managers and engineers

It’s a bonus if you are familiar with

• FX or financial markets experience

• Term structure modelling, stochastic calculus or Monte Carlo methods

• Interest rate curve bootstrapping

• Algorithmic execution experience

• Data lake or warehouse experience (Snowflake, Iceberg, Spark etc.)

We’re people without borders — without judgement or prejudice, too. We want to work with the best people, no matter their background. So if you’re passionate about learning new things and keen to join our mission, you’ll fit right in.

Also, qualifications aren’t that important to us. If you’ve got great experience, and you’re great at articulating your thinking, we’d like to hear from you.

And because we believe that diverse teams build better products, we’d especially love to hear from you if you’re from an under-represented demographic

Additional Information

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 visitWise.Jobs.

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