Staff Data Scientist, Risk

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.

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.

Airwallex is building a centralised risk platform that will harness advanced analytics and machine learning techniques to enable real-time decisioning across a diverse range of product lines and platforms. The risk product domain is responsible for building the platforms, engines & case management whilst also delivering the risk models so you will be involved in crafting the full end-to-end risk capability. This role will work on building out Airwallex’s risk product domain focusing on analyzing the compliance impact on transactions as well as delivering a financial crime detection and prevention solution. You will be responsible for conducting risk analysis on transaction level and merchant level, developing risk detection framework, and empowering business.

This role is based in Singapore.

• Design, develop and deploy credit risk models for SME lending, using internal transaction and customer data as well as third-party data sources.

• Own the end-to-end modeling lifecycle: feature engineering, algorithm selection, validation, calibration and performance monitoring.

• Source, ingest and validate external datasets (e.g. credit bureaus, alternative data) to enrich underwriting inputs.

• Implement automated model monitoring, alerting on data drift, performance degradation and key metric breaches.

• Collaborate with underwriting, product and engineering teams to translate business requirements into modeling solutions.

• Mentor junior analysts (future hires) and, as the team grows, guide a small modeling squad to deliver end-to-end credit analytics.

We're looking for people who meet the minimum qualifications for this role. The preferred qualifications are great to have, but are not mandatory.

• Bachelor’s degree in Mathematics, Statistics, Finance, Economics, Operations Research, or a related quantitative discipline.

• 5+ years of hands-on experience in credit or risk analytics or modelling, preferably in SME lending or commercial banking.

• Demonstrated expertise sourcing, ingesting and validating external data (e.g., credit bureaus, alternative data providers).

• Proficient in SQL and at least one scripting language (Python, R, or Shell) for data extraction, feature engineering and model development.

• Strong business acumen in underwriting processes and risk management, with the ability to translate commercial requirements into analytic solutions.

• Excellent stakeholder management skills, with a track record of working cross-functionally to deliver data-driven insights.

• 7+ years of hands-on experience in credit or risk analytics or modelling, preferably in SME lending or commercial banking.

• 1+ year of experience leading or mentoring a small analytics team through the end-to-end modeling lifecycle.

• Demonstrated ability to balance technical rigor with business priorities in a fast-paced, early-stage environment.

• Strong communicator who can distill complex model assumptions and performance metrics for non-technical audiences.

• Familiarity with BI/visualization tools (Looker, Tableau or equivalent) to build dashboards that inform underwriting decisions.

• Working knowledge of MLOps or workflow orchestration frameworks (e.g., Airflow, Spark, Git) to ensure scalable and robust model pipelines.

#shanghai, #singapore

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.