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Quantitative Analyst for Systematic Trading
2 months ago
Point72 is a global asset management firm that employs systematic, data-driven trading strategies across various liquid asset classes, including equities, futures, and foreign exchange. Our commitment to rigorous research into diverse market anomalies is supported by our extensive access to publicly available data sources.
Position Overview
We are seeking a quantitative researcher to enhance our systematic macro strategies focusing on futures, foreign exchange, and volatility. The primary emphasis will be on developing mid-frequency alpha strategies.
Key Responsibilities
- Design and implement systematic trading models across foreign exchange, commodities, fixed income, and equity markets.
- Generate alpha ideas, conduct backtesting, and facilitate implementation.
- Support the development, maintenance, and ongoing enhancement of trading and production environments.
- Assess new datasets for their potential to generate alpha.
- Refine existing strategies and optimize portfolios.
- Monitor execution processes.
- Contribute significantly to the advancement of the investment process and research infrastructure within the team.
- Master's or PhD in mathematics, statistics, physics, or a related quantitative field; a PhD in statistics or machine learning is advantageous.
- Experience in quantitative trading, particularly in foreign exchange or futures markets.
- Familiarity with alpha research, portfolio construction, and optimization techniques.
- Proficient in developing statistical, technical, fundamental, and data-driven signals.
- Experience in synthesizing predictive signals for both cross-sectional and time-series models.
- Strong background in data exploration, dimensionality reduction, and feature engineering.
- Comprehensive understanding of various regression techniques, including OLS, MLS, Ridge, Lasso, and Bayesian inference, as well as methods for addressing errors like auto-correlation and heteroskedasticity.
- Experience in risk management is a valuable asset.
- Proficient in Python, particularly with the machine learning stack including numpy, pandas, and scikit-learn.
- Creative thinker with strong time management skills, capable of handling multiple tasks and deadlines in a dynamic environment.
- Highly motivated self-starter with a strong work ethic.
- Able to collaborate effectively with all levels of staff in a team-oriented setting.
- Dedicated to maintaining the highest ethical standards and professionalism at all times.
