Senior Data Scientist, Algorithm (Lending & Onboarding)
Airwallex · Full-time · Posted 2w ago
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 250,000 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 2,300 of the brightest and most innovative people in tech across 27 offices around the globe. Valued at US$11 billion and backed by world-leading investors including T. Rowe Price, Visa, Mastercard, Robinhood Ventures, Sequoia, Salesforce Ventures, DST Global, and Lone Pine Capital, 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.
We hire successful builders with founder-like energy who want real impact, accelerated learning, and true ownership. You bring strong role-related expertise and sharp thinking, and you’re motivated by our mission and operating principles. You move fast with good judgment, dig deep with curiosity, and make decisions from first principles, balancing speed and rigor.
You're humble and collaborative; turn zero‑to‑one ideas into real products, and you “get stuff done” end-to-end. You use AI to work smarter and solve problems faster. Here, you’ll tackle complex, high‑visibility problems with exceptional teammates and grow your career as we build the future of global banking. If that sounds like you, let’s build what’s next.
The risk platform team at Airwallex is responsible for managing risk across all Airwallex products, including topics like GTPN, Payments, Issuing, Onboarding, Account Takeover, Lending, and Credit. The risk landscape is constantly changing, and threats are becoming increasingly sophisticated. We are at the forefront of innovation in risk management.
As a Senior Data Scientist, you will tackle challenging risk problems across credit and fraud (e.g., account takeover), and help build data-driven decision systems that deliver meaningful business impact. You will be responsible for translating business problems into analytical frameworks, strategies, models, and scalable data solutions.
Responsibilities:
Build real-time ML models to protect Airwallex customers and platform assets, such as Account Takeover prevention and fraud decisioning
Develop credit risk models and analytical frameworks to assess merchant risk and support the growth of Airwallex’s lending business
Translate business requirements into analytical, modeling, and strategy problems across fraud, credit, onboarding, and related risk domains
Design performance monitoring, metrics frameworks, and decision-support tools to improve risk visibility and decision quality
Partner with Product, Engineering, Operations, and other cross-functional teams to turn data, models, and insights into production strategies and measurable business impact
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:
3+ years of experience in analytics, data science, risk strategy, or a related quantitative role
Bachelor’s degree or above in a quantitative field such as Statistics, Mathematics, Economics, Computer Science, Engineering, or a related discipline
Proficient in Python and SQL
Strong problem-solving skills and experience working with large datasets
Experience partnering with cross-functional stakeholders to solve business problems
Preferred qualifications:
Experience in credit, fraud, or related risk domains
Hands-on experience in model development, validation, or monitoring
Experience designing risk rules, decision strategies, or performance monitoring frameworks
Why Join Us:
Opportunity to work on impactful problems that directly influence payments success and business outcomes.
Collaborate with a talented, cross-functional team in a fast-paced, high-growth environment.
Drive the adoption of advanced data science techniques and experimentation to improve customer and business outcomes.
To protect you from recruitment scams, please be aware that Airwallex will not ask for bank details, sensitive ID numbers (i.e. passport), or any form of payment during the application or interview process. All official communication will come from an @airwallex.com email address. Please apply only through careers.airwallex.com or our official LinkedIn page.
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.
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.
United States