
Data Analyst
4 days ago
As a highly skilled Data Analyst, you will play a pivotal role in the development of a cutting-edge simulator that mimics financial activities of various adversaries. This position requires a deep understanding of machine learning and data processing techniques.
The ideal candidate will have extensive experience in Python, Apache Spark/PySpark, and statistical modeling. Additionally, strong analytical and problem-solving capabilities are essential for success in this role.
We are seeking an individual with a passion for innovation and a drive to deliver high-quality results under tight deadlines. If you are a motivated and detail-oriented professional with a keen eye for detail, we encourage you to apply.
This is a unique opportunity to work with a talented team of experts in the field of financial crime analytics. As a Data Analyst, you will be responsible for designing and building algorithms to generate synthetic data, including mock customer profiles and transaction histories.
Key Responsibilities:
- Develop and implement algorithms to generate synthetic data based on predefined financial crime typologies and stress-testing scenarios.
- Collaborate with the financial crime analytics team to understand requirements and refine simulation logic.
- Work within a Python-based development environment using PySpark for data processing tasks.
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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