APAC Lead Data Scientist - Financial Crime & Fraud

Mastercard

Singapore

On-site

SGD 180,000 - 240,000

Full time

14 days+

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Job summary

Mastercard is seeking an AP Lead Data Scientist for Financial Crime to join a new Centre of Excellence in Asia-Pacific. You will build and maintain models to detect fraud, scams, and money laundering using payment data and collaborate with regional and global teams to align on methodology and strategy.

You will contribute to local data science capabilities, publish insights, and ensure compliance with privacy, security, and regulatory guidelines while delivering value to regional clients.

Qualifications

  • Strong Python and data science library experience (pandas, polars, scikit-learn, networkx).
  • Experience delivering data science solutions in regulated/payments contexts.
  • Ability to communicate with non-technical colleagues about technical matters.

Responsibilities

  • Build and maintain data science models to detect fraud, scams, and money laundering using payments data.
  • Collaborate with regional and global data science and product teams to align on methodology and model strategy.
  • Write white papers, patents, and client-facing data visualisations.
  • Consider privacy, security, and regulatory requirements in all work.

Skills

Python
pandas
polars
scikit-learn
networkx
algorithm development
communication
new technologies
regulated/payments knowledge
English fluent

Education

Advanced data science degree

Tools

Real-time data processing
Deep learning frameworks
Data visualization

Job description

Mastercard is seeking an AP Lead Data Scientist for Financial Crime to join a new Centre of Excellence in Asia-Pacific. You will build and maintain models to detect fraud, scams, and money laundering using payment data and collaborate with regional and global teams to align on methodology and strategy.

You will contribute to local data science capabilities, publish insights, and ensure compliance with privacy, security, and regulatory guidelines while delivering value to regional clients.

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