AP Data Scientist - Financial Crime
Core
Lead Data Scientist building and maintaining data science models to detect fraud, scams, and money laundering using payment data for financial institutions in the Asia-Pacific region.
Role type
Senior IC machine-learning engineer (financial crime)
Builds
Financial crime detection models, prototypes, and data visualizations for external clients
Domain
Payments industry + Financial Crime (fraud, scams, money laundering)
Deliverable
production ML models
Required skills
Python, pandas, polars, scikit-learn, networkx, algorithm design, novel research, data modeling, privacy/security/regulation awareness
Preferred skills
Streaming/real-time data processing, deep learning frameworks, network/graph-based analysis, custom data visualizations
Technologies
Python, pandas, polars, scikit-learn, networkx
Responsibilities
Develop new algorithms for financial crime detection, perform novel research on criminal behaviors in payments data, act as regional expert for model maintenance and evolution, support customers across Asia Pacific with data science guidance, collaborate with global teams on methodology and strategy
Seniority
Senior, hands-on IC
