Microstructure Quantitative Researcher

Job description

About the Team: A well-established quantitative portfolio management team at Point72 is looking for an experienced quantitative professional to develop and trade systematic macro strategies, with a focus on market microstructure. The candidate will be given the resources and support to drive the build out and expansion of the quantitative macro business. Role/Responsibilities: • Perform rigorous and innovative research to develop systematic signals for global macro (futures, FX, etc.) markets, with a focus on market microstructure signals • Perform feature engineering with order book tick data at intraday to daily horizons • Perform feature combination using various modeling techniques ranging from linear to machine learning models • Participate in the research pipeline end-to-end, including signal idea generation, data processing, modeling, strategy backtesting, and production implementation • Help drive the growth of the investment process and research capabilities of the team • Work in a team of highly qualified and motivated individuals with access to a cutting-edge research and trading infrastructure and clean datasets • Assist in building, maintenance, and continual improvement of production and trading environments Requirements: • MS or PhD in physics, engineering, statistics, applied math, quantitative finance, or other quantitative fields with a strong foundation in statistics • 4+ years of experience in quantitative research, building statistical models for intraday to daily trading, as part of a successful proprietary trading team with a track record • Knowledge of market microstructure for futures and/or FX • Prior experience with tick data based feature generation, modelling, and monetization • Demonstrated proficiency in Python, R, or C/C++. Familiarly with data science toolkits, such as scikit-learn, Pandas • Collaborative mindset with strong independent research abilities • Commitment to the highest ethical standards