Quantitative Developer (Graduates & Early Career Professionals)

About the role

Integrate pricing and risk models into quantitative libraries and client IT systems, and develop robust frameworks and efficient algorithms for handling financial models and large datasets. Collaborate with quants, software engineers, and client stakeholders to build and scale complex, real-time applications and improve software and computation platforms. Candidates should have education in computer science, software or IT engineering, applied mathematics, quantitative finance, physics, or a related field; a master's degree or higher is preferred. The role seeks programming experience in Python, C++, C#, or Java, clean coding practices, Agile readiness, strong communication and documentation skills, and a client-service mindset; internships and relevant personal projects are considered.