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.
- Strong analytical and problem-solving skills.
- Ability to work independently and deliver results within a defined timeframe.
- Excellent communication and collaboration skills.
Job Type: Contract
Contract length: 6 months
Pay: $7,000.00 - $8,000.00 per month
Work Location: In person
