Data Scientist, Algorithm, Financial Markets

Position: Staff Data Scientist, Algorithm, Financial Markets
About Airwallex Airwallex is the AI-native financial operating system for a real-time, intelligent economy. More than 675,000 businesses, including McLaren Racing, Qantas, SHEIN, and Tik Tok, use us, directly or through our platform partners, to run their financial operations or build and monetize financial products of their own.

We started in Melbourne in 2015 to build the infrastructure global commerce runs on. We're the regulated backbone behind global payments: not by accident, but by design. A decade plus, 85+ licenses, and a financial infrastructure spanning North America, Europe, the Middle East, and Asia-Pacific.

We're co-headquartered in San Francisco and Singapore, with more than 2,300 people across 27 offices. We hire builders with founder-level energy, people who move fast with good judgment, dig in with real curiosity, and make calls from first principles rather than waiting to be told what to do. Read our operating principles to see it in full.

About the team

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. Learn more about the data science team in this blog.

About the role

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.

Location of role:
San Francisco Who you areWe're looking for people who meet the minimum qualifications for this role. The preferred qualifications are great to have, but are not mandatory.

Minimum qualifications:

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.

Preferred qualifications:

Experience in technology, financial services, trading environment and/or a high growth environment is advantageous.

Applicant Safety Policy:
Fraud and Third-Party Recruiters To protect you from recruitment scams, please be aware that Airwallex will not ask for bank details, sensitive  (i.e. passport), or any form of payment during the application or interview process. All official communication will come from an  email address. Please…