Data Scientist

2 weeks ago

Central Region, Singapore PERSOL Full time $80,000 - $120,000 per year
  • Design and build a simulator capable of mimicking financial activities of various adversaries (e.g., money laundering, terrorist financing, money mule, fraud and scam, etc.).
  • Develop and implement algorithms to generate synthetic data, including mock customer profiles, accounts, and transaction histories.
  • Incorporate approaches to learn from limited existing labelled data to inform synthetic data generation.
  • Implement functionality to generate data based on predefined financial crime typologies, rules, and stress-testing scenarios.
  • Ensure the simulated data captures suspicious patterns through interconnected counterparty information, reflecting realistic network behaviors.
  • Work within a Python-based development environment, utilizing PySpark for data processing tasks.
  • Collaborate with the financial crime analytics team to understand requirements and refine simulation logic.

Interested candidates may apply through the application system. We regret to inform only Shortlisted candidates will be notified.

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