Lead Data Scientist - Treasury Markets Quant

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 on 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

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

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 visit Wise.Jobs.

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