Staff Data Scientist, Algorithm, Financial Markets

As a global team, we span across Australia, China, USA, and Singapore, revolutionizing applied data science, data engineering and platform solutions to support Airwallex's rapid growth. You will collaborate with a diverse range of cross-functional partners, including Product, Engineering, Marketing, Sales, Finance, and more, to tackle complex data problems and shape the future of fintech.

- 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.