Quantitative Researcher Developer (Data Science) Treasury FX

Quantitative 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 Wises mission and millions of our customers.

About the Role: 

Youll 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. 

Were 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 youll 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 youll 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

Qualifications :

What were 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.

• Its 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

Were people without borders without judgement or prejudice too. We want to work with the best people no matter their background. So if youre passionate about learning new things and keen to join our mission youll fit right in.

Also qualifications arent that important to us. If youve got great experience and youre great at articulating your thinking wed like to hear from you.

And because we believe that diverse teams build better products wed especially love to hear from you if youre from an under-represented demographic

Additional Information :

For everyone everywhere. Were people building money without borders  without judgement or prejudice too. We believe teams are strongest when they are diverse equitable and inclusive.

Were 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 its like to work at Wise visit .

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Remote Work :

No

Employment Type :

Full-time