Quantitative Analyst • Mid-Level

Who you are

You have a background in mathematics, statistics, machine learning, computer science, engineering, quantitative finance, or economics — your academic foundation equips you to tackle complex quantitative challenges. With 2-6 years of signal research experience in macro trading as part of a trading team, you understand the intricacies of market dynamics and trading strategies. Your specialization in swaps, fixed income, or commodities trading is a plus, showcasing your versatility in financial markets.

You possess prior professional experience with feature engineering, modeling, or monetization — your ability to efficiently format and manipulate large, raw data sources sets you apart. Demonstrated proficiency in Python, R, or C/C++ allows you to implement advanced algorithms and models effectively. You are familiar with data science toolkits, such as scikit-learn and Pandas, which enhances your capability to analyze and interpret data.

Your strong command of the foundations of applied and theoretical statistics, linear algebra, and machine learning techniques enables you to derive insights from complex datasets. You have a collaborative mindset with strong independent research abilities, allowing you to contribute effectively to team projects while also pursuing your own research initiatives. You are committed to the highest ethical standards in your work, ensuring integrity in your research and trading practices.

What you'll do

In this role, you will perform rigorous and innovative research to discover systematic anomalies in global macro markets, including futures and foreign exchange. You will engage in feature engineering with price-volume, order book, and alternative data at intraday to daily horizons in the mid-frequency trading space. Your responsibilities will include managing the research pipeline end-to-end, from signal idea generation and data processing to modeling, strategy backtesting, and production implementation.

You will maintain and improve portfolio trading in a production environment, ensuring that strategies are optimized for performance and risk management. Contributing to the analysis framework for scalable research will be a key part of your role, as you work to enhance the efficiency and effectiveness of research processes. You will collaborate with other researchers and traders, sharing insights and findings to drive better decision-making within the team.

What we offer

At Point72, you will be part of a dynamic team that values innovation and excellence in quantitative research. We offer competitive compensation and benefits, along with opportunities for professional growth and development. You will have access to a wealth of data sources and cutting-edge technology, enabling you to conduct impactful research that drives trading strategies. Join us in our mission to deploy systematic, computer-driven trading strategies across multiple liquid asset classes, and make a significant impact in the world of finance.