Quantitative Trader - 2027
$150,000–$250,000 year
HybridChicago, Illinois, United States
Job Summary
Design high-frequency trading algorithms and explore market microstructure patterns by analyzing data to identify trading ideas. Create analytical tools and contribute to computation libraries supporting market data analysis. Develop, augment, and calibrate exchange simulators while communicating with internal and external trade support to handle real-time issues. Shape the firm's future through regular interviewing and campus recruiting trips. This role requires a Bachelor's, Master's, or PhD in a quantitative field and proficiency in C++ or Python. Located in NYC, the position offers a salary range of $150,000 - $250,000 plus bonus.
Required Qualifications
- A Bachelor's, Master's, or PhD degree in computer science, mathematics, physics, electrical engineering, or related fields
- 0-2 years of experience
- Proficient in an object-oriented programming language
- A working knowledge of Linux/Unix
- Strong problem-solving abilities
- The ability to manage multiple tasks in a fast-paced environment
- Strong communication skills
- Interest in financial markets
Desired Qualifications
- C++
- Python
- Past industry experience
- Experience as a Teaching Assistant and/or participation in relevant Olympiads
- Familiarity with machine learning, data analysis, market research and data modeling
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