Airwallex: Building the future of global banking
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Airwallex

Data Science Manager, Payments Optimization

Reposted 17 Days Ago
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In-Office
Singapore
Senior level
In-Office
Singapore
Senior level
Lead the Payments Optimization team at Airwallex, focusing on improving payment success rates through advanced data science techniques like contextual bandits and predictive modeling.
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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 200,000 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 2,000 of the brightest and most innovative people in tech across 26 offices around the globe. Valued at US$8 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.

Location: Singapore

About the Role:
We are seeking a highly skilled and experienced Data Scientist Manager to lead our Payments Optimization team. This role will lead the team in developing advanced algorithms to optimize payments, and will be a key strategic partner to Product, Engineering, and Commercial leaders - identifying opportunities to improve payments performance and drive product adoption at scale.

Responsibilities:

  • Lead data science teams to drive multi-objective payments optimization - ensuring that AWX optimizes payment conversion rates, fraud risk, and transaction costs

  • Provide technical thought leadership on various optimization algorithms (e.g. contextual bandits) and experimentation techniques (e.g. A/B testing, causal inference)

  • Collaborate with engineering teams to develop tools and infrastructure to enable optimization at scale

  • Partner with Product, Engineering, Risk, and other cross-functional teams to inform and influence product strategy and investment decisions

  • Clearly and persuasively communicate data insights and recommendations to both technical and non-technical audiences, ensuring your findings influence stakeholders at all levels.

Qualifications:

  • Advanced degree (PhD or MS) in a quantitative field such as Statistics, Engineering, Computer Science, Economics, or related disciplines.

  • 5+ years of industry experience in data science or applied ML; 2+ years in a management role

  • Proven experience in experimentation, machine learning, and statistical modeling to drive data-informed decisions

  • Experience in deploying ML systems to production is a big plus

  • Proficient in SQL and Python

  • Demonstrated ability to communicate complex analyses to executives and cross-functional teams to influence strategy.

  • Experience in technology, financial services, or a high-growth environment is highly advantageous.

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.

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

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.

Top Skills

Python
SQL
HQ

Airwallex Singapore Office

Airwallex Global Headquarters Office

Airwallex’s global HQ is nestled in the tallest building in Singapore, at the centre of the city state’s vibrant Tanjong Pagar district. Opened in February 2023, the Airwallex Singapore office is a bustling hub of culture, innovation and collaboration, and home to dynamic, diverse teams.

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