Staff Data Scientist, Algorithm (Payments Fraud & Optimization)

Airwallex; Singapore; Vor Ort; SGD 180.000 - 260.000; Vollzeit

Zusammenfassung

Airwallex in Singapore is seeking a Staff Data Scientist to shape the technical direction of our Payments Optimization team. This IC role focuses on designing and implementing advanced algorithms to improve payments performance and product adoption at scale.

You will partner with Product, Engineering, Risk, and Commercial teams, own experimentation and causal inference techniques, and mentor junior data scientists.

Qualifikationen

• Advanced degree (PhD or MS) in Statistics, Engineering, Computer Science, Economics, or related fields.
• 5+ years of industry data science or applied ML experience.
• Experience with experimentation and causal inference to drive product decisions.
• Experience deploying ML systems to production is highly desirable.
• Strong leadership potential and ability to influence product strategy.
• Proficient in SQL and Python/R.
• Experience using LLMs/AI to improve processes and models.

Aufgaben

• Define and drive the technical strategy for multi-objective payments optimization (conversion, fraud risk, costs).
• Serve as technical owner on cross-functional initiatives with broad business impact.
• Provide thought leadership on optimization algorithms and experimentation techniques.
• Collaborate with engineering to build tools and infrastructure for scalable optimization and production ML deployment.
• Partner with Product, Engineering, Risk, and other teams to influence strategy and investment decisions.
• Communicate complex data insights and recommendations to technical and non-technical audiences.
• Mentor and coach junior data scientists and engineers.

Kenntnisse

SQL

Python

R

Experimentation

Causal inference

Machine Learning

Production ML

LLM/AI usage

Cross-functional collaboration

Ausbildung

PhD or MS in quantitative field

Jobbeschreibung

About Airwallex

Airwallex is the AI-native financial operating system for a real-time, intelligent economy. More than 675,000 businesses, including McLaren Racing, Qantas, SHEIN, and TikTok, use us, directly or through our platform partners, to run their financial operations or build and monetize financial products of their own.

We started in Melbourne in 2015 to build the infrastructure global commerce runs on. We're the regulated backbone behind global payments: not by accident, but by design. A decade plus, 85+ licenses, and a financial infrastructure spanning North America, Europe, the Middle East, and Asia-Pacific.

We're co-headquartered in San Francisco and Singapore, with more than 2,700 people across 27 offices. We hire builders with founder-level energy, people who move fast with good judgment, dig in with real curiosity, and make calls from first principles rather than waiting to be told what to do. Read our operating principles to see it in full.

About the Role:

We are seeking a highly skilled and experienced Staff Data Scientist to drive the technical direction of our Payments Optimization team. This is a critical Individual Contributor (IC) role that will focus on designing and implementing advanced algorithms to optimize payments. You will act as a key strategic partner to Product, Engineering, and Commercial leaders, identifying complex, unique opportunities to improve payments performance and drive product adoption at scale.

Responsibilities:

• Define and drive the technical strategy for multi-objective payments optimization, ensuring that AWX optimizes payment conversion rates, fraud risk, and transaction costs.

• Act as the strong technical owner on cross-functional initiatives, solving unique, critical, and complex problems that have a broad impact on the business.

• 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 design and build tools and infrastructure to enable optimization at scale and deploy ML systems to production.

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

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

• Mentor and coach junior data scientists and engineers.

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.

• Proven experience in experimentation and causal inference to drive data-informed product decisions with concrete impact.

• Strong experience in deploying ML systems to production is a big plus.

• Demonstrated ability to operate as a technical leader, defining and developing critical systems and influencing product strategy in high-growth environments.

• Proficient in SQL and Python/R.

• Experience using LLM, AI and Agent to improve processes and ML models

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.

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.