We are seeking a highly skilled Quantitative Developer to join our team, contributing to the development and maintenance of key investment infrastructure and analytics. This role involves collaborating with quantitative researchers and traders to design and implement scalable solutions, addressing complex business needs related to loading financial data, risk management, and backtesting. You will be working within a dynamic, fast-paced environment, supporting cross-functional teams across multiple investment platforms. Responsibilities

Develop and maintain critical components of the investment infrastructure, including the data interface layer, central risk calculations, and backtesting frameworks utilized by diverse investment teams. Work closely with quantitative researchers and traders to engineer robust solutions for business challenges. Provide production-level support to key systems, ensuring their continued functionality and reliability.

Experience

3-8 years of professional experience in software development, specializing in Python. Hands‑on experience with continuous integration and delivery systems (e.g., Jenkins, GitLab CI/CD) and a strong understanding of Software Development Life Cycle (SDLC) best practices. Knowledge of SQL for database management and query optimization. Proficiency in Linux and Docker, including system administration and containerization for deployment and scaling.

Preferred:

Deep understanding of futures asset classes and their application in systematic trading. Experience in developing financial backtesting systems for quantitative strategies. Matlab experience is a plus.

If this role sounds of interest, we would love to hear from you. #J-18808-Ljbffr