
Financial Crime Prevention Specialist
5 days ago
Job Title: Data Analyst
Key Responsibilities:
- Design and develop a simulator to mimic financial activities of various adversaries, such as money laundering and terrorist financing.
- Develop algorithms to generate synthetic data, including mock customer profiles and transaction histories.
- Incorporate approaches to learn from limited labelled data to inform synthetic data generation.
- Implement functionality to generate data based on predefined financial crime typologies and rules.
- Evaluate simulated data for suspicious patterns through interconnected counterparty information.
- Work within a Python-based development environment using PySpark for data processing tasks.
- Collaborate with the analytics team to refine simulation logic.
About the Role:
This role requires expertise in data analysis, machine learning, and big data processing. The ideal candidate will have experience working with Tableau, TensorFlow, PySpark, Hadoop, and SQL.
Required Skills:
- Tableau
- TensorFlow
- Machine Learning
- PySpark
- Big Data
- Hadoop
- SQL
- Python
- Fraud Detection
- Statistics
- Data Analysis
- Java
- Data Analytics
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