Overview
Airwallex is a unified payments and financial platform for global businesses.
We empower over 150,000 businesses worldwide with integrated solutions to manage business accounts, payments, spend management, treasury, and embedded finance at a global scale.
Founded in Melbourne, we have a team of thousands across the globe, backed by leading investors.
We value builders with founder-like energy who want real impact, accelerated learning, and true ownership.
You move fast with good judgment, dig deep with curiosity, and make decisions from first principles, balancing speed and rigor.
You are collaborative; you turn ideas into real products and deliver end-to-end results.
You’ll tackle complex, high-visibility problems with exceptional teammates as we build the future of global banking.
About The Team
The risk platform team is responsible for managing risk across all Airwallex products, including GTPN, Payment, Issuing, Onboarding, and Account takeover.
The risk landscape is constantly changing and fraudsters are becoming increasingly sophisticated.
We are at the forefront of innovation in risk management.
What you’ll do
As a Senior Machine Learning engineer, tackle challenging ML problems in the international payment risk domain and help build industry-leading model systems.
Implement end-to-end ML solutions to address real business challenges and deliver measurable business impact.
Analyze business requirements and translate them into machine learning problems.
Work on data engineering, feature engineering, model training, and deployment.
Identify issues and propose effective solutions through regular analysis.
Develop machine learning platforms and tools to streamline ML workflows at Airwallex.
Collaborate with cross-functional teams to apply models that solve business problems.
Location: Singapore.
Minimum Qualifications
At least 3+ years experience with common ML libraries (scikit-learn, TensorFlow, PyTorch, Keras, etc.).
Bachelor’s or higher degree in Computer Science, Engineering, or a related technical field.
Proficient in Python and SQL.
Experience in payment risk or international e-commerce risk is a plus.
Experience applying large language models to real-time risk management is a plus.
Equal Opportunity
Airwallex is proud to be an equal opportunity employer.
We value diversity and consider all applicants on merit, qualifications, competence and talent.
We do not discriminate based on color, religion, race, national origin, sexual orientation, ancestry, citizenship, sex, marital or family status, disability, gender, or any other legally protected status.
If you require accommodation, please let us know.
Airwallex does not accept unsolicited resumes from search firms/recruiters.
Airwallex will not pay any fees to search firms/recruiters unless an agreement has been made for open positions.
If you are approached by someone claiming to represent Airwallex, please verify with our team.
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