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 DescriptionWe 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
Additional InformationFor 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.
Keep up to date with life at Wise by following us on LinkedIn and Instagram.
Skills Required
- 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) with ability to read and reason about models
- Experience with testing, monitoring, and debugging complex systems under load
- Product mindset and ability to collaborate cross-functionally (quants, traders, product, engineers)
- 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.)
What the Team is Saying
.png)
.png)
Wise Compensation & Benefits Highlights
-
Equity Value & Accessibility — Equity is granted to all employees via time‑based RSUs/stock awards, aligning staff with company performance. This broad accessibility makes ownership a core part of total rewards.
-
Leave & Time Off Breadth — Policies include a global minimum of 33–36 paid days off and a paid six‑week sabbatical after four years with a cash stipend. The sabbatical is positioned as a standard milestone benefit in addition to annual leave.
-
Parental & Family Support — Wise commits to a minimum of 18 weeks’ fully paid parental leave for birth or adoption across many offices. Eligibility rules and tenure may apply by location while maintaining a companywide minimum standard.
Wise Insights
What We Do
Wise is a global technology company, building the best way to move and manage the world's money. With Wise Account and Wise Business, people and businesses can hold 40 currencies, move money between countries and spend money abroad. Large companies and banks use Wise technology too; an entirely new network for the world's money. Launched in 2011, Wise is one of the world’s fastest growing, profitable tech companies. In fiscal year 2025, Wise supported around 15.6 million people and businesses, processing over $185 billion in cross-border transactions and saving customers around $2.6 billion.
Why Work With Us
We’re truly global in who we are, how we work, and how we build. Everything we do is centred around creating a world of money that’s fast, easy, fair. And open to all. Everyone who works here owns a piece of Wise, from the work they do, to the stock they hold.
Gallery
Wise Offices
Hybrid Workspace
Employees engage in a combination of remote and on-site work.
We expect new joiners in the office most days to build connections and learn from colleagues for their first six months. After that, most Wisers split their working week between the office and home, typically coming in at least 12 times a month.
