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 DescriptionQuantitative Researcher/Developer (Data Science) - Treasury FX
We are seeking a quantitative researcher or quantitative developer to join our Treasury FX Data Science team. You will help build and operate the models and production systems behind FX pricing, risk and trading.
Your work will have a direct impact on Wise’s mission and millions of our customers.
About the Role:
You'll join the Treasury FX Data Science team, helping own the quantitative models and production infrastructure that power how Wise manages FX risk across USD 250bn+ in annual FX volume - serving everyone from retail customers sending money abroad to tier-1 global investment 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 a Python-first, production-grade quant platform which provides multi-instrument pricing, product modelling/monitoring, risk analytics and trading strategies.
We’re hiring for two complementary focus areas:
Quantitative Researcher: Bring deeper expertise in quantitative modelling to develop and improve pricing, forecasting, risk analytics and hedging methodology with rigorous backtesting and stakeholder engagement
Quantitative Developer: Bring deeper expertise in quantitative engineering to develop and improve production services, shared quant libraries and engineering reliability. You are expected to
Your focus will reflect your strengths, with opportunities to contribute across both areas and broaden your expertise. We expect depth in one area, with a strong shared foundation in Python, quantitative reasoning and production ownership.
What you’ll own
A primary focus in either production quantitative engineering or applied quantitative modelling
Python implementation of quantitative work from research or prototype through reliable production use
Validation, backtesting and monitoring of model and service performance against realised outcomes
Deployment, incident response, root-cause analysis and continuous improvement with stakeholders
Shared quant libraries used across multiple services
CI/CD pipelines, deployments and operational excellence
Monitoring, alerting, and reliability for real-time pricing and risk systems
Where you’ll grow
Market data management and onboarding new pipelines..
Designing new quant infrastructure and systems with the engineering team.
Backtesting frameworks, model validation and risk modelling alongside the Risk team (VaR, stress testing, scenario analysis).
Customer behaviour modelling, pricing strategy and product development.
Collaborating with product teams to translate quantitative insights into customer-facing decisions
What we’re looking for
4+ years of relevant quantitative or engineering experience, with strong Python development skills.
Quantitative background - maths, physics, engineering or finance - you can read a model and reason about correctness.
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.)
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.
Experience taking quantitative work into production and owning its ongoing validation, monitoring and improvement.
For the Researcher track:
Strong experience in quantitative research or modelling in finance, with depth in an area such as pricing, forecasting, risk or trading.
Ability to translate an open-ended financial problem into a quantitative model, choose appropriate statistical or numerical methods, and explain assumptions and limitations.
Experience designing backtests and out-of-sample validation, accounting for data leakage, transaction costs and changing market conditions.
For the Developer track:
Strong experience with microservices, databases, and production infrastructure
Experience with streaming systems, real-time data pipelines, or event-driven architectures (Kafka, Flink, Redis etc.)
Experience with testing, monitoring, and debugging complex systems under load
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 of relevant quantitative or engineering experience
- Strong Python development skills
- Quantitative background in mathematics, physics, engineering, or finance
- Experience taking quantitative work into production and owning validation, monitoring, and improvement
- Product mindset and ability to understand system users and needs
- Clear communication and cross-functional collaboration skills
- For the Researcher track: strong quantitative research or financial modeling experience
- For the Researcher track: experience with pricing, forecasting, risk, or trading
- For the Researcher track: ability to select statistical or numerical methods and explain assumptions and limitations
- For the Researcher track: experience designing backtests and out-of-sample validation
- For the Developer track: strong experience with microservices, databases, and production infrastructure
- For the Developer track: experience testing, monitoring, and debugging complex systems under load
- Experience with FX or financial markets
- Experience with term structure modeling, stochastic calculus, or Monte Carlo methods
- Interest rate curve bootstrapping experience
- Algorithmic execution experience
- Data lake or warehouse experience with Snowflake, Iceberg, Spark, or similar technologies
- Experience with streaming systems, real-time data pipelines, or event-driven architectures such as Kafka, Flink, or Redis
Wise Compensation & Benefits Highlights
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Equity Value & Accessibility — Equity is broadly accessible through RSUs granted to all employees in addition to salary, aligning rewards with company performance. This company‑wide ownership stance is consistently highlighted in the benefits descriptions.
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Leave & Time Off Breadth — Paid time off is notably generous, with a global minimum of 33 days and 36 days listed for U.S. locations. After four years, a six‑week paid sabbatical plus a £1,000 stipend further strengthens time‑away benefits.
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Wellbeing & Lifestyle Benefits — Lifestyle support includes work‑from‑anywhere for up to 90 days per year after six months, flexible working principles, and a 24/7 Employee Assistance Program. Extras like three annual “Me Days” and a professional‑development allowance add quality‑of‑life value.
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.
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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.
