Senior Data Scientist, Analytics (Lending)

Airwallex

Singapore, SGonsitePosted Jul 28, 2026
Posting intelligenceActively listedReposted 17×, possible evergreen/ghost posting

Skills

salesforceripplingpython

About the role

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 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.

Attributes We Value

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.

About the team

The risk platform team at Airwallex is responsible for managing risk across all Airwallex products, including topics like lending, Payments, Issuing and Onboarding. The risk landscape is constantly changing, and threats are becoming increasingly sophisticated. We are at the forefront of innovation in risk management.

What you’ll do

As a Credit Risk Analyst - Lending, you will help monitor and optimize the performance of Airwallex’s business lending portfolio through data-driven analysis, portfolio insights, and credit risk strategy support. You will be responsible for translating portfolio and policy questions into analytical frameworks, monitoring approaches, and actionable recommendations that improve credit quality and support sustainable business growth.

Responsibilities:

Monitor and analyze the performance of existing business lending portfolios, including delinquency trends, early warning indicators, and credit quality metrics

Identify emerging risks within the portfolio and provide actionable insights to mitigate potential losses

Support the assessment and optimization of portfolio-level credit strategies, ensuring alignment with regional credit risk policies

Prepare portfolio reports, risk dashboards, and management summaries to support senior leadership decision-making

Collaborate with Operations and Product teams to ensure consistent application of credit policies and effective risk controls

Participate in periodic portfolio reviews, stress testing, and credit risk assessment exercises

Provide analytical support for regulatory reporting, audits, and internal governance requirements

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:

3+ years of experience in credit risk analytics, risk strategy, portfolio analytics, or a related quantitative role

Bachelor’s degree or above in Quantitative Finance, Statistics, Computer Science, Business Analytics, Data Science, or a related quantitative discipline

Proficient in SQL and Python, with the ability to translate data into actionable insights

Strong problem-solving skills and experience working with large datasets

Strong attention to detail and the ability to identify discrepancies in data

Experience partnering with cross-functional stakeholders to solve business problems

Preferred qualifications:

Hybrid experience of both risk analytics and modelling

Experience in SME lending experience preferred

Hands-on experience in ECL modelling, credit strategy analysis, or credit risk assessment

Experience designing credit policies, decision strategies, or performance monitoring frameworks

Familiarity with stress testing, governance, audit, or regulatory reporting processes

Why Join Us:

Opportunity to work on impactful credit risk problems that directly influence lending performance and business outcomes.

Collaborate with a talented, cross-functional team in a fast-paced, high-growth environment.

Drive better portfolio decisions through analytics, monitoring, and risk insights that improve customer and business outcomes.

Applicant Safety Policy: Fraud and Third-Party Recruiters

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.

Equal opportunity

Questions about this role

Click "Apply with AI Applyd" above. We auto-fill the application from your resume and answer screening questions in seconds. No copy and paste, no juggling tabs.

Compensation for Data Scientist roles in Singapore varies widely by seniority, employer size, and remote vs onsite arrangement. Check the salary range on this listing when published, or browse our Data Scientist hub for Singapore medians across recent openings.

Most applications complete in under 90 seconds. You can track the status in your dashboard and watch the screenshot proof land the moment the application submits.

AI Applyd supports Greenhouse, Lever, Ashby, Workday, iCIMS, SmartRecruiters, Personio, Teamtailor and other major ATS platforms. If we can submit through the platform, we do.

Want AI Applyd to auto-apply to roles like this?

We tailor your resume per posting, fill the forms, and track replies for you.