Tech Stack

Description

As a Quantitative Trader within our Chicago HQ, you will bridge trading, quantitative research, and technology to enhance decision-making processes. Dive deep into market data, applying mathematics, statistics, and programming to identify and backtest trading signals that shape profitable strategies.

Requirements

• Degree in mathematics, physics, statistics, engineering, or related quantitative field
• 3+ years experience in quantitative or systematic trading environment
• Proficiency in Python for data processing and analysis
• Familiarity with C++ or other low-level programming languages desired
• Strong analytical problem-solving and communication skills

Responsibilities

• Design, troubleshoot, and optimize trading strategies and supporting systems
• Continuously refine trading models through data-driven analysis
• Identify new opportunities for market share growth and product expansion
• Generate revenue exploiting short-term mispricing and managing larger positions
• Develop algorithm improvements to maximize liquidity provision