Lead Data Scientist – Financial Crime

Mastercard

Singapore
Not specified; not specified; not specified
Python programming proficiency
Pandas polars scikit-learn networkx libraries
Financial crime model development
The role involves building and maintaining data science models to detect fraud, scams, and money laundering within the Financial Crime Solutions team

Job Summary

  • The role involves building and maintaining data science models to detect fraud, scams, and money laundering within the Financial Crime Solutions team.
  • Candidates will act as regional experts in Asia-Pacific, balancing global strategy with local market needs and regulatory constraints.
  • The position requires strong communication skills to explain technical concepts to non-technical colleagues and collaborate across global and regional teams.

Matching Summary

The role involves building and maintaining data science models to detect fraud, scams, and money laundering within the Financial Crime Solutions team.

Salary

Not specified; Not specified; Not specified

Skills & Requirements

Must-have

  • Python programming proficiency
  • pandas polars scikit-learn networkx libraries
  • financial crime model development
  • fraud and money laundering detection
  • regional market regulatory understanding

Nice-to-have

  • streaming and real time data processing
  • deep learning frameworks experience
  • network and graph based analysis
  • custom data visualisation creation
  • white paper and patent writing

Key Requirements

  • Eligible to work in Singapore long term
  • Professional exposure in regulated or payments environment
  • Strong academic foundation in data science or related field

Work Rights

Must be eligible to work in Singapore for long term

Tailored Resume

Cover Letter