Singapore On-site Airwallex Staff Data Scientist, Algorithm (Payments Optimization)
Summary
Staff Data Scientist at Airwallex to lead algorithmic optimization for global payments, improving conversion, fraud risk, and cost via advanced ML and experimentation.
Why Here?
Airwallex is the only unified payments and financial platform for global businesses. Powered by proprietary infrastructure and software, it empowers over 200,000 businesses worldwide including Brex, Rippling, Navan, Qantas, and SHEIN with solutions for payments, spend management, and treasury. This role is within the Product and Risk Platform team which drives the technical direction of the Payments Optimization team, designing advanced algorithms to enhance payment performance and drive product adoption at scale.
What Will You Do?
As a Staff Data Scientist, Algorithm (Payments Optimization) at Airwallex, you will define and drive technical strategy for multi-objective payments optimization covering conversion rates, fraud risk, and costs. You will serve as technical owner on cross-functional initiatives solving complex problems with broad business impact. Additionally, you will provide thought leadership on optimization algorithms like contextual bandits and experimentation techniques including A/B testing and causal inference.