Quantitative Analyst • Mid-Level

Who you are

You have a Bachelor's degree or higher in computer science or a related STEM discipline, and you possess advanced proficiency in Python and its ecosystem, including libraries like NumPy, Pandas, and Scikit-Learn. Your understanding of Python and library internals sets you apart, and experience contributing to core Python numerical libraries is a huge plus. You are proficient with Linux and have hands-on experience with software architecture and engineering best practices, including testing, CI/CD, monitoring, and version control. Your strong quantitative and analytical skills are complemented by a command of linear algebra, statistics, and machine learning, which would be helpful in this role. Proficiency with C/C++ and experience in designing and implementing trading systems are also advantageous.

What you'll do

In this role, you will be responsible for building components for both live trading and simulation, ensuring that the systems are robust and automated. You will refine and enhance the research infrastructure, focusing on alpha estimation, risk modeling, and backtesting components. Your work will involve building tools for signal blending, simulation, portfolio construction, and dashboards, all while maintaining and updating the platform to ensure its stability, robustness, and security. You will also develop robust data checking and storage procedures, troubleshoot and resolve any systems-related issues, and handle the release of code fixes and enhancements. Your contributions will directly impact the efficiency and effectiveness of the trading strategies deployed by Cubist Systematic Strategies.

What we offer

At Point72, you will be part of a dynamic team that values innovation and ethical standards. We encourage you to apply even if your experience doesn't match every requirement. You will have the opportunity to work in a collaborative environment where your skills will be valued and your contributions recognized. We offer competitive compensation and benefits, along with opportunities for professional growth and development within the firm. Join us to be part of a team that is at the forefront of systematic trading strategies and data-driven decision-making.