Staff Data Scientist, AML & Financial Crime Risk (AI)

Airwallex; Singapore; On-site; SGD 180,000 - 280,000; Full time

Job summary

Airwallex is seeking a Staff Data Scientist in the Risk Product Data Science team to lead technical directions for AML and financial crime risk controls. You will work with customer, transaction, behavioral and external data to detect threats, improve screening, and build AI-powered risk capabilities at scale.

You will partner with Risk Product, Engineering and Compliance to translate complex risk problems into production-grade controls and mentor junior team members as we build the future of

Qualifications

• 7+ years of experience in Data Science or related field at senior level.
• Strong expertise in applied ML and production-scale solutions.
• Experience in financial crime detection domains (NLP/LLMs, graph analytics, risk scoring).
• Strong SQL and Python skills.
• Excellent communication and stakeholder management.

Responsibilities

• Lead the Data Science strategy for AML and Financial Crime risk controls across Risk Product.
• Develop proactive risk detection to uncover emerging threats, suspicious behaviors, control gaps and previously unknown financial crime patterns.
• Develop and scale advanced risk capabilities across AI-powered screening, graph and network intelligence, entity resolution, and machine learning.
• Advance key AML/FCC use cases including name screening, transaction monitoring, and detection of coordinated activity and fraud or financial crime rings.
• Partner with Risk Product, Engineering, Financial Crime Compliance and Risk Operations to translate complex risk problems into effective, scalable production controls.
• Influence the Risk Product roadmap and raise the technical bar for Risk Data Science through technical leadership, reusable frameworks, and mentoring.

Skills

Strong SQL & Python

Data Science

Machine Learning

Communication skills

Tools

SQL

Python

Job description

Airwallex is seeking a Staff Data Scientist in the Risk Product Data Science team to lead technical directions for AML and financial crime risk controls. You will work with customer, transaction, behavioral and external data to detect threats, improve screening, and build AI-powered risk capabilities at scale.

You will partner with Risk Product, Engineering and Compliance to translate complex risk problems into production-grade controls and mentor junior team members as we build the future of