Staff Data Scientist, Algorithm, Financial Markets

Proudly founded in Melbourne, we have a team of over 2,300 of the brightest and most innovative people in tech across 27 offices around the globe. Valued at US$11 billion and backed by world-leading investors including T. Rowe Price, Visa, Mastercard, Robinhood Ventures, Sequoia, Salesforce Ventures, DST Global, and...

We hire successful builders with founder-like energy who want real impact, accelerated learning, and true ownership. You bring strong role-related expertise and sharp thinking, and you’re motivated by our mission and operating principles. You move fast with good judgment, dig deep with curiosity, and make decisions ...

You're humble and collaborative; turn zero‑to‑one ideas into real products, and you “get stuff done” end-to-end. You use AI to work smarter and solve problems faster. Here, you’ll tackle complex, high‑visibility problems with exceptional teammates and grow your career as we build the future of global banking. If tha...

Own and drive the modelling and analysis roadmap for the FX product, identifying high-impact opportunities and prioritising work in collaboration with Product managers.
Develop and maintain models to forecast and monitor FX rate volatility, providing actionable insights to support trading and execution strategy.
Apply statistical and/or machine learning models to optimise FX trade execution - focusing on minimising cost, improving routing efficiency and managing market risk exposure.
Conduct data-driven analyses including but not limited to customer cohort analysis, profitability analysis, and customer segmentation to support commercial decision-making.
Partner with Product Managers, Traders, Risk, Engineering, and other stakeholders to translate analytical findings into trading and product decisions.
Clearly communicate analytical insights and recommendations to cross-functional teams to influence business strategies and decision-making.

We're looking for people who meet the minimum qualifications for this role. The preferred qualifications are great to have, but are not mandatory.
7+ years industry experience and an advanced degree (PhD or MS) in a quantitative field (e.g. Statistics, Engineering, Sciences, Computer Science, Economics).
Strong understanding of financial markets, foreign exchange, and/or dynamic trading systems is a plus.
Experience with communicating the results of analyses to executives and cross-functional teams to influence the strategy.
Expert in data querying languages (e.g. SQL), scripting languages (e.g. Python), and/or statistical/mathematical software (e.g. R), experience in schema design and dimensional data modeling a plus.
Ability to perform statistical analysis and develop machine learning models to drive data-informed decisions.
Experience in technology, financial services, trading environment and/or a high growth environment is advantageous.

To protect you from recruitment scams, please be aware that Airwallex will not ask for bank details, sensitive ID numbers (i.e. passport), or any form of payment during the application or interview process. All official communication will come from an @airwallex.com email address. Please apply only through careers.airwallex.com or our official LinkedIn page.
Airwallex does not accept unsolicited resumes from search firms/recruiters. Airwallex will not pay any fees to search firms/recruiters if a candidate is submitted by a search firm/recruiter unless an agreement has been entered into with respect to specific open position(s). Search firms/recruiters submitting resumes to Airwallex on an unsolicited basis shall be deemed to accept this condition, regardless of any other provision to the contrary.