Senior Risk & Fraud Data Scientist, Algorithm
ML Engineer · Senior · Full Time
Opens Airwallex's application page
Role
What you'll do.
Senior Risk & Fraud Data Scientist position at Airwallex focused on building machine learning solutions for international payment risk management. The role involves end-to-end ML development, from data engineering to model deployment, working with cross-functional teams to solve complex fraud detection problems in the fintech space.
Responsibilities
- Business Requirements Analysis: Analyze business requirements and translate them into machine learning problems
- End-to-End ML Development: Work on data engineering, feature engineering, model training, and deployment
- Issue Identification & Solutions: Identify issues and propose effective solutions through regular analysis
- ML Platform Development: Develop machine learning platforms and tools to streamline ML workflows at Airwallex
- Cross-Functional Collaboration: Collaborate with cross-functional teams to apply models that solve business problems
- Risk Model Implementation: Build industry-leading model systems for international payment risk domain
- Business Impact Delivery: Deliver measurable business impact through end-to-end ML solutions
Qualifications
What we look for.
Technical
ML Libraries Experience
At least 3+ years experience with common ML libraries such as scikit-learn, TensorFlow, PyTorch, Keras
Programming Proficiency
Proficient in coding languages such as Python and SQL
Payment Risk Experience
Experience in payment risk or international e-commerce risk (preferred)
LLM Applications
Experience in applying LLMs to real-time risk management (preferred)
Education
Bachelor's Degree
Bachelor's or above degree in Computer Science, Engineering, or a related technical field
Experience
ML Engineering Experience
Minimum 3+ years of hands-on experience with machine learning libraries and frameworks
Risk Management Background
Previous experience in payment risk or fraud detection systems (advantageous)
Skills
Required
Python Programming
Advanced proficiency in Python for ML development and data analysis
SQL Database Skills
Strong SQL skills for data querying and manipulation
Machine Learning Frameworks
3+ years experience with scikit-learn, TensorFlow, PyTorch, Keras
Data Engineering
Experience in building data pipelines and feature engineering
Model Deployment
Production ML model deployment and monitoring capabilities
Preferred
Payment Risk Domain
Nice to haveExperience in payment risk or international e-commerce risk management
LLM Applications
Nice to haveExperience applying Large Language Models to real-time risk scenarios
Cross-functional Collaboration
Nice to haveAbility to work effectively with product, engineering, and business teams
MLOps Practices
Nice to haveKnowledge of ML platform development and workflow optimization
Tech stack
Languages
Frameworks
Databases
Tools
Other
Compensation
Pay and benefits.
Benefits
Global Team Collaboration
Work with 2,000+ innovative professionals across 26 offices worldwide
Career Growth
Accelerated learning and true ownership opportunities in a fast-growing fintech
Impact-Driven Work
Work on high-visibility problems with exceptional teammates
Innovation Focus
Access to cutting-edge AI and ML technologies for problem-solving
Diverse Environment
Equal opportunity employer valuing diversity and inclusion
Process
Interview steps.
- 01
Initial Screening
Phone/video screening to assess basic qualifications and cultural fit
- 02
Technical Assessment
ML coding challenge focused on risk/fraud detection scenarios
- 03
System Design Interview
Design ML systems for real-time fraud detection at scale
- 04
Behavioral Interview
Assessment of collaboration skills and alignment with Airwallex values
- 05
Final Interview
Meet with senior team members and discuss specific risk management use cases
Full posting
Original listing.
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.
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.
This role is based in "Singapore".
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.
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.
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