Financial Crime Data Analyst

2 weeks ago

Singapore beBeeDataScience Full time

Job Opportunity

The Challenge

  • We are seeking a Data Science Expert to work on a critical project in Singapore.

Key Responsibilities:

- Design and develop a simulator to mimic financial activities of various adversaries, including money laundering, terrorist financing, money mule, fraud, and scam.

- 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.

Requirements and Skillsets:

Technical Skills:

Python (4–6 years)

Machine Learning (4–6 years)

Apache Spark / PySpark (1–2 years)

Statistical Modeling (2–4 years)

Analytical Expertise:

Statistical Analysis (2–4 years)

Additional Skills:

Strong analytical and problem-solving capabilities

Ability to work independently and meet deadlines

Excellent communication and collaboration skills

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