Senior Risk & Fraud Data Scientist, Algorithm

Airwallex; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

Airwallex is seeking a Senior Machine Learning Engineer based in Singapore to tackle challenging ML problems in international payment risk. You will implement end-to-end ML solutions, build platforms, and deliver business impact by collaborating with cross-functional teams across Airwallex's risk platform area.

The role emphasizes data engineering, model training, deployment, and applying ML models to real-world payment risk challenges, with opportunities to impact global fintech products.

Qualifications

• 3+ years experience with common ML libraries (scikit-learn, TensorFlow, PyTorch, Keras).
• Proficient in Python and SQL.
• Experience in payment risk or international e-commerce risk is a plus.
• Experience applying LLMs to real-time risk management is a plus.
• Bachelor’s degree in CS/Engineering or related technical field.

Responsibilities

• Analyze business requirements and translate them into machine learning problems.
• Work on data engineering, feature engineering, model training, and deployment.
• Identify issues and propose effective solutions through regular analysis.
• Develop machine learning platforms and tools to streamline ML workflows.
• Collaborate with cross-functional teams to apply models that solve business problems.

Skills

Machine Learning

Python

SQL

ML libraries

LLMs in risk

Education

Bachelor’s degree in Computer Science/Engineering or related field

Job description

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, 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.

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, 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.

This role is based in Singapore, with the opportunity to relocate and work in a fast‑growing, globally connected tech ecosystem.

About The Team

The risk platform team at Airwallex is responsible for managing the risk for all the products at Airwallex, including GTPN, Payment, Issuing, Onboarding, and Account takeover. The risk landscape is constantly changing, and fraudsters are becoming increasingly sophisticated. We are at the forefront of innovation in risk management.

What you’ll do

As a Senior Machine Learning engineer, you will tackle challenging machine learning problems in the international payment risk domain and help build industry‑leading model systems. You will be responsible for implementing end‑to‑end ML solutions to address real business challenges and will be accountable for delivering business impact.

Responsibilities

• Analyze business requirements and translate them into machine learning problems
• Work on data engineering, feature engineering, model training, and deployment
• Identify issues and propose effective solutions through regular analysis
• Develop machine learning platforms and tools to streamline ML workflows at Airwallex
• Collaborate with cross‑functional teams to apply models that solve business problems

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

• At least 3+ years experienced with common ML libraries, such as scikit‑learn, TensorFlow, PyTorch, Keras, etc.
• Bachelor’s or above degree in Computer Science, Engineering, or a related technical field.
• Proficient in coding language such as Python and SQL.
• Experience in payment risk or international e‑commerce risk is a plus.
• Experience in applying LLMs to real‑time risk management is a plus.

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.