We are seeking a highly skilled Quantitative Trader to develop and execute high and mid-frequency trading strategies in global markets. The ideal candidate will have a strong background in market microstructure, ultra-low-latency execution, and statistical arbitrage.
As part of our trading team, you will be responsible for designing, back-testing, and optimizing trading algorithms, leveraging cutting-edge AI and high-performance computing to capitalize on ultra-short-term market inefficiencies. You will work closely with quantitative researchers and engineers to enhance execution speed and efficiency while managing real-time trading risk.
Key Responsibilities:
As a Quantitative Trader, your responsibilities will include
- Designing, implementing, and deploying high-frequency trading algorithms.
- Typical strategies deployed include Alpha-seeking strategies and Market Making.
- Rigorously back-test strategies on in-house research infrastructure.
- Creating tools to analyze data for patterns.
- Contributing to libraries of analytical computations to support market data analysis and trading.
- Developing, augmenting, and calibrating exchange simulators.
Preferred Qualifications:
We’re seeking candidates with
- A degree in Computer Science, Mathematics, or Engineering from a leading institution.
- 2+ years of relevant work experience.
- Exceptional analytical and problem-solving skills.
- Proficiency in programming, particularly in C++ or C.
- Working knowledge of Linux, Python, and shell scripting.
- A curious mindset and a passion for understanding complex systems.
- A disciplined and consistent work ethic.
- Robust communication and interpersonal skills.