About Airwallex
Airwallex is the only unified payments and financial platform for global businesses. Powered by our unique combination of proprietary infrastructure and software, we empower over 150,000 businesses worldwide – including Brex, Rippling, Navan, Qantas, SHEIN and many more – with fully integrated solutions to manage everything from business accounts, payments, spend management and treasury, to embedded finance at a global scale.
Proudly founded in Melbourne, we have a team of over 1,700 of the brightest and most innovative people in tech across 26 offices around the globe. Valued at US$6.2 billion and backed by world-leading investors including Visa, Airtree, Blackbird, Sequoia, DST Global, Greenoaks, Salesforce Ventures, Lone Pine, and Square Peg, Airwallex is leading the charge in building the global payments and financial platform of the future. If you’re ready to do the most ambitious work of your career, join us.
About the team
The risk platform team at Airwallex is responsible for managing the risk for all the products at Airwallex, 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, you will tackle challenging machine learning problems in the international payment risk domain and help build industry-leading model systems. You will be responsible for implementing end-to-end ML solutions to address real business challenges and will be accountable for delivering business impact.
This role is based in “Singapore”.
Responsibilities:
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Analyze business requirements and translate them into machine learning problems
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Work on data engineering, feature engineering, model training, and deployment
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Identify issues and propose effective solutions through regular analysis
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Develop machine learning platforms and tools to streamline ML workflows at Airwallex
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Collaborate with cross-functional teams to apply models that solve business problems
Who You Are
We’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:
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At least 3+ years experienced with common ML libraries, such as scikit-learn, TensorFlow, PyTorch, Keras, etc.
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Bachelor’s or above degree in Computer Science, Engineering, or a related technical field.
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Proficient in coding language such as Python and SQL.
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Experience in payment risk or international e-commerce risk is a plus.
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Experience in applying LLMs to real-time risk management is a plus.
Equal opportunity
Airwallex is proud to be an equal opportunity employer. We value diversity and anyone seeking employment at Airwallex is considered based on merit, qualifications, competence and talent. We don’t regard color, religion, race, national origin, sexual orientation, ancestry, citizenship, sex, marital or family status, disability, gender, or any other legally protected status when making our hiring decisions. If you have a disability or special need that requires 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 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.
