My client is a Well-Known Global Investment Management Firm. They are one of the largest and most competitive Asset Management Firms worldwide. You will have a chance to engage in building sophisticated trading operation systems and high-volume data pipelines for multi-strategy trading.

Responsibilities:

• Manage the lifecycle of data used by the investment team for trading, research, and backtesting
• Implemented research infrastructure, engines, and models
• Engaged in trading system development such as risk monitoring, post-trade analysis, and pricing log
• Working closely with Quants and Traders for trading strategy implementations and support

Requirements:

• Bachelor’s degree in Computer Science, Engineering, or related IT subject
• 3+ years of development experience with Python, SQL, or kdb+/q
• Experienced with Python Ecosystem (Numpy, Pandas, Numba) and Data Pipeline Framework
• Familiar with Cloud Platforms, Databases, and Storage Formats
• Knowledgable in either C++/C#/Java/Rust or others
• Knowledge of Financial Products, Statistics, and Basic Quant Research