Senior Data Scientist, Algorithm (Risk & Fraud)
Data Scientist · Senior · Full Time
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Role
What you'll do.
Senior Data Scientist role at Airwallex's Singapore office focused on building ML solutions for payment risk and fraud detection. The role requires 3+ years of ML experience with Python, scikit-learn, TensorFlow/PyTorch, and involves end-to-end ML implementation from data engineering to model deployment for international payment security systems.
Responsibilities
- Business Requirements Analysis: Analyze business requirements and translate them into well-defined machine learning problems
- End-to-End ML Development: Execute complete ML workflows including data engineering, feature engineering, model training, and deployment
- Performance Analysis: Identify model performance issues and propose effective solutions through regular analysis and monitoring
- ML Platform Development: Develop machine learning platforms and tools to streamline ML workflows across Airwallex
- Cross-Functional Collaboration: Collaborate with cross-functional teams to apply ML models that solve real business problems
- Risk Model Implementation: Build industry-leading model systems for international payment risk and fraud detection
- Business Impact Delivery: Be accountable for delivering measurable business impact through ML solutions
Qualifications
What we look for.
Technical
Machine Learning Libraries
3+ years experience with ML libraries including scikit-learn, TensorFlow, PyTorch, and Keras
Programming Proficiency
Proficient coding skills in Python and SQL for data processing and model development
End-to-End ML Pipeline
Experience building complete ML solutions from data engineering to model deployment
Education
Bachelor's Degree
Bachelor's degree or above in Computer Science, Engineering, or related technical field
Experience
ML Experience
Minimum 3+ years of hands-on experience with machine learning libraries and frameworks
Payment Risk Experience
Experience in payment risk or international e-commerce risk management (preferred)
LLM Applications
Experience applying Large Language Models to real-time risk management (preferred)
Skills
Required
Python Programming
Proficient coding skills in Python for ML development and data processing
SQL
Strong SQL skills for database querying and data manipulation
Machine Learning Libraries
3+ years experience with scikit-learn, TensorFlow, PyTorch, Keras
Data Engineering
Experience with data pipeline construction and feature engineering
Model Deployment
Hands-on experience deploying ML models to production environments
Preferred
Payment Risk Domain
Nice to haveExperience in payment risk or international e-commerce risk management
Large Language Models
Nice to haveExperience applying LLMs to real-time risk management scenarios
Cross-Border Payments
Nice to haveUnderstanding of international payment systems and fraud patterns
Real-Time Systems
Nice to haveExperience with real-time ML inference and low-latency decision systems
Tech stack
Languages
Frameworks
Tools
Other
Compensation
Pay and benefits.
Base·SGD 146,060 – 246,340
Benefits
Global Opportunities
Work in a fast-growing, globally connected tech ecosystem with 26 offices worldwide
Career Growth
Accelerated learning and career development opportunities in a high-growth fintech unicorn
Innovation Environment
Work at the forefront of innovation in risk management and payment technology
Equal Opportunity
Equal opportunity employer with strong commitment to diversity and inclusion
Process
Interview steps.
- 01
Initial Screening
Phone or video screening to discuss background and role fit
- 02
Technical Assessment
Coding assessment focusing on Python, SQL, and ML problem-solving
- 03
ML Case Study
Deep dive into ML methodology, model selection, and risk management scenarios
- 04
System Design
Design discussion for ML systems and deployment architecture
- 05
Final Interview
Cultural fit and leadership discussion with senior team members
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.
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.
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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