Senior Data Scientist, Algorithm (Risk & Fraud)

Airwallex1 months ago

Location

US - San Francisco

Type

Full Time

Salary

SGD 146,060 – 246,340

Level

Senior

Role

Data Scientist

Posted

Jan 28, 2026

Full TimeSenior

The role

Summary

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.

What you'll do

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

What we look for

Technical

Machine Learning Libraries3+ years experience with ML libraries including scikit-learn, TensorFlow, PyTorch, and Keras

Programming ProficiencyProficient coding skills in Python and SQL for data processing and model development

End-to-End ML PipelineExperience building complete ML solutions from data engineering to model deployment

Education

Bachelor's DegreeBachelor's degree or above in Computer Science, Engineering, or related technical field

Experience

ML ExperienceMinimum 3+ years of hands-on experience with machine learning libraries and frameworks

Payment Risk ExperienceExperience in payment risk or international e-commerce risk management (preferred)

LLM ApplicationsExperience applying Large Language Models to real-time risk management (preferred)

Skills

Required skills

Python ProgrammingProficient coding skills in Python for ML development and data processing

SQLStrong SQL skills for database querying and data manipulation

Machine Learning Libraries3+ years experience with scikit-learn, TensorFlow, PyTorch, Keras

Data EngineeringExperience with data pipeline construction and feature engineering

Model DeploymentHands-on experience deploying ML models to production environments

Nice to have

Payment Risk DomainExperience in payment risk or international e-commerce risk management

Large Language ModelsExperience applying LLMs to real-time risk management scenarios

Cross-Border PaymentsUnderstanding of international payment systems and fraud patterns

Real-Time SystemsExperience with real-time ML inference and low-latency decision systems

Compensation & benefits

Salary

SGD 146,060 – 246,340 (annual)

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

Interview process

1
Initial Screening — Phone or video screening to discuss background and role fit
2
Technical Assessment — Coding assessment focusing on Python, SQL, and ML problem-solving
3
ML Case Study — Deep dive into ML methodology, model selection, and risk management scenarios
4
System Design — Design discussion for ML systems and deployment architecture
5
Final Interview — Cultural fit and leadership discussion with senior team members