Senior Data Scientist, Risk

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 Product team at Airwallex is a group of passionate builders and problem-solvers who are obsessed with crafting customer-centric solutions that empower businesses to operate anywhere, anytime. We combine technical expertise with a deep understanding of our customers' needs to design and build unified, intuitive, and scalable products. As a team, we thrive in a collaborative and fast-paced environment, constantly iterating and pushing boundaries to deliver exceptional product experiences.

What you’ll do

Airwallex is building a centralized risk platform that leverages advanced analytics and machine learning to enable real-time decisioning across a wide range of products and customer segments. The risk product domain covers platform, engines, case management, and models — offering a full-stack approach to risk detection and mitigation.

As a Senior Data Scientist, you will take end-to-end ownership of building predictive models for risk management, focusing on one domain depending on business needs and your expertise. You’ll develop scalable data solutions, contribute to decision logic, monitor model impact, and help drive Airwallex’s overall risk strategy.

This role is based in Singapore.

Responsibilities:

• Develop and deploy machine learning models to detect and manage risk in a specific domain (e.g., KYC, credit risk, AML, ATO).

• Own or co-own the full application of the model, including risk rules or decision logic, and be accountable for business outcomes tied to model performance.

• Analyze internal and third-party data sources to improve risk signal coverage and model accuracy.

• Lead exploration and application of innovative techniques — including graph models, deep learning, and generative AI — to solve complex risk problems.

• Work with product and engineering teams to integrate models and rules into real-time decision engines.

• Monitor and maintain model health post-deployment, and iterate based on performance signals.

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:

• Bachelor’s degree in a quantitative field such as Statistics, Mathematics, Computer Science or a related discipline

• 5+ years of hands-on experience in risk analytics, fraud detection, credit modeling, or related domains

• Proficient in SQL and Python (or similar scripting language), with experience in data extraction, feature engineering, and model development

• Demonstrated experience building predictive models and delivering them into production systems

• Strong problem-solving skills and business acumen in risk decisioning, with the ability to connect technical solutions to commercial outcomes

• Effective communication skills, with experience collaborating across product, engineering, and operations teams

Preferred qualifications:

• Experience working in fintech, payments, or other regulated financial services

• Exposure to real-time risk decisioning systems or streaming data environments

• Familiarity with advanced modeling techniques (e.g., graph ML, deep learning, generative AI)

• Knowledge of model monitoring, performance diagnostics, and data drift detection

• Experience maintaining and scaling data pipelines using tools such as Airflow and PySpark

• Comfort working in a fast-paced, evolving environment with a high degree of ownership

#singapore

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.