Responsibilities:
- Research, develop, and implement quantitative trading strategies with a focus on middle to high frequency trading in equities.
- Utilize statistical analysis, machine learning, and other quantitative techniques to identify and exploit market inefficiencies.
- Collaborate with other members of the research and trading teams to optimize trading algorithms and enhance overall performance.
- Stay abreast of industry developments, market trends, and emerging technologies to continuously improve trading strategies.
Requirements:
-Bachelor's, Master's, or PhD degree from a top-tier university in a quantitative field such as Mathematics, Statistics, Computer Science, Engineering, Physics, or a related discipline.
- 2-8 years of experience in quantitative finance, preferably with a focus on equities/futures markets and alpha research.
- Strong programming skills in languages such as Python, R, or C++, with experience in algorithmic trading and high-frequency trading environments.
- Solid understanding of market microstructure, order flow dynamics, and execution strategies.
- Demonstrated ability to conduct independent research, develop trading ideas, and generate alpha.
Preferred Qualifications:
- Experience with data analysis and machine learning techniques applied to financial markets.
- Familiarity with market data feeds, trading APIs, and order execution platforms.
- Knowledge of statistical modeling, time series analysis, and portfolio optimization techniques.
- Previous experience working in a quantitative research or independent PM role at a hedge fund or proprietary trading firm.
