I am currently partnering with a $30BN AUM Hedge Fund in New York City that is actively looking to build out its Stat Arb. Equity business under a new PM that they have recently taken on. They are looking to add a Quantitative Researcher with expertise in driving the development and optimization of mid-frequency systematic Equity Stat Arb strategies and collaborating with other researchers and PM to generate alpha signals. This is an excellent opportunity for any individual who is looking to work closely alongside with a PM, other researchers, and developers to identify profitable opportunities and optimize trading performance in a fast-paced, competitive environment.
Key Responsibilities:
- Conduct quantitative research to develop and refine trading strategies in the Equity Statistical Arbitrage space, with a focus on identifying alpha-generating signals
- Utilize advanced statistical techniques and machine learning algorithms to analyze large datasets and extract actionable insights
- Collaborate with other researchers and developers to design, implement, and backtest trading algorithms using advanced mathematical and statistical techniques, machine learning, and optimization methods
Key Requirements:
- Master's or Ph.D. degree in a quantitative field such as Mathematics, Statistics, Physics, Computer Science, Engineering, or a related discipline
- 2 - 5+ years of experience in quantitative research or algorithmic trading with a focus on alpha generation and strategy development within the Equity Stat Arb space
- Strong proficiency in programming languages such as Python, R, or C++ for quantitative analysis and data manipulation
- Knowledge of statistical techniques, time series analysis, machine learning, and optimization methods applied to financial data
- Strong communication skills and ability to present complex ideas and analysis in a clear and concise manner
