Tech Stack

Description

You will research and implement trading strategies within the firm's automated trading framework, analyzing large datasets with advanced statistical methods to identify opportunities. You'll develop a deep understanding of market structures across various exchanges and asset classes, critically evaluating results for statistical significance and robustness.

Requirements

• Quantitative background (Mathematics, Statistics, Econometrics, Financial Engineering, Operations Research, Computer Science, Physics)
• Programming proficiency in C++, Java, or Python
• Strong communication skills and ability to work across regions
• Familiarity with liquid non-equity asset classes (futures, FX, cash treasuries)
• Experience with intraday bar data and researching intraday trading opportunities

Responsibilities

• Research and implement strategies within automated trading framework
• Analyze large datasets using advanced statistical methods to identify trading opportunities
• Develop understanding of market structure for various exchanges and asset classes
• Monitor strategy behavior and compare live performance with simulations
• Present results and discuss improvements with manager