
Senior Financial Crime Analyst
2 days ago
Description: The ideal candidate will be responsible for designing and implementing a simulator to mimic various financial crime behaviors and adversarial activities.
- Design and implement a simulator to mimic various financial crime behaviors and adversarial activities.
- Develop algorithms to generate synthetic customer profiles, accounts, and transaction data.
- Apply methods to learn from limited labeled data to enhance realism of simulated outputs.
- Incorporate predefined typologies and rule-based logic to simulate known patterns of financial crimes.
- Build functionality for stress-testing scenarios and edge-case behavior simulation.
- Generate transaction networks with interconnected counterparties to reflect realistic financial ecosystems.
Skillset: Strong problem-solving and communication skills are essential to collaborate across technical and non-technical teams. The ability to work with limited labeled datasets and use statistical or machine learning methods for data inference is also crucial.
Requirements: A background in data science, machine learning, or anomaly detection is desirable, as well as experience with financial services or compliance systems. Proficiency in Python programming, particularly in data simulation or synthetic data generation, is mandatory.
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