Financial Crime Simulator Developer

2 weeks ago

Singapore beBeeData Full time

Job Title: Data Analyst

We are seeking an experienced Data Analyst to join our team in designing and implementing a simulator that emulates financial activities associated with illicit behaviors. The successful candidate will have strong proficiency in Python programming, particularly in data simulation or synthetic data generation.

Mandatory Skills:

  • Proficiency in PySpark for scalable data processing;
  • Experience developing rule-based or typology-driven systems for data modeling;
  • Solid understanding of financial crime scenarios such as money laundering, fraud, scams;
  • Ability to work with limited labeled datasets and use statistical or machine learning methods for data inference;
  • Experience designing and validating stress-testing scenarios in data simulation;

Desirable Skills:

  • Background in data science, machine learning, or anomaly detection;
  • Experience with financial services or compliance systems;
  • Strong problem-solving and communication skills to collaborate across technical and non-technical teams.

Responsibilities:

  • 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;
  • Collaborate closely with analytics and risk teams to align simulation logic with business requirements;
  • Document technical designs and maintain codebase for reproducibility and scalability.

This is an exciting opportunity to leverage your analytical skills and experience working with big data to contribute to the development of a cutting-edge simulator.

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