Quantitative Software Engineer - hybrid - full time

This position will play a key role in contributing to quantitative investment processes. The Quantitative Software Engineer will be responsible for designing, implementing, optimizing, and testing proprietary quantitative investment systems. Working as part of a collaborative team, the successful candidate will help implement and enhance quantitative models, architect and manage global data repositories, create high-performance simulation and optimization engines, develop investment workflow management systems, and build and extend analytics and reporting platforms. The ideal candidate must possess strong programming and analytical skills, particularly in Python/Julia and C++, along with a solid foundation in mathematics, statistics, and software engineering. Key Responsibilities Implement and enhance quantitative models, proprietary portfolio construction techniques, and optimization methods in collaboration with Research and Portfolio Management teams. Architect and manage global data repositories incorporating millions of financial and market data points. Develop high-performance simulation and optimization engines. Develop and manage investment workflow management systems. Build and extend analytics and reporting platforms. Design, implement, optimize, and test proprietary quantitative investment systems. Solve complex business, data, and technical challenges through efficient software engineering solutions. Required Qualifications

MS or PhD in Computer Science, Engineering, Statistics, or a related discipline. Strong programming skills in Python and/or Julia. Hands-on programming experience in C/C++. 2+ years of experience with database technologies such as SQL Server or Oracle. Strong coding, debugging, and analytical skills. Strong aptitude for mathematics and statistics. Ability to develop and optimize quantitative software solutions. Preferred Qualifications Experience with NumPy, Pandas, or similar quantitative computing libraries. Knowledge of .NET and C#. Contributions to open-source software. Passion for solving complex business, data, and technical challenges.