Quantitative Analyst

About Cubist

Cubist Systematic Strategies, an affiliate of Point72, deploys systematic, computer-driven trading strategies across multiple liquid asset classes, including equities, futures and foreign exchange. The core of our effort is rigorous research into a wide range of market anomalies, fueled by our unparalleled access to a wide range of publicly available data sources.

Role/Responsibilities:

• Conduct in-depth analysis on portfolios for both Equity and Macro PMs to gain insight into their investment style, risk profile, portfolio construction philosophy and market behavior.
• Engage with PMs to present analytics and research notes from a portfolio analytical perspective and continue refining the research process and deliverables based on collaborations to improve portfolio performance.
• Communicate key findings on portfolios to Cubist management and counterparties across Point72 to facilitate efficient capital allocations across investment teams.
• Create proprietary factors on top of conventional risk models to help portfolios navigate different market conditions.
• Develop analytics tools and applications to monitor portfolio profile and construction features and identify macro themes.

Job Requirements:

• Graduate degree in quantitative finance, statistics, math, engineering, or computer science.
• 3+ years of work experience in quantitative finance, including but not limited to research, trading, or risk management. Experience with statistical models is preferred.
• Proficiency in quantitative programing languages (Python preferred) and experience with database programing language SQL.
• Team player who is intellectually honest.
• Strong attention to detail to ensure high quality of deliverables.
• Intellectual curiosity about analytical findings and desire to drill down to details.
• Experience with Unix environment is preferred.
• Commitment to the highest ethical standards.