G-Research is seeking an experienced Software Engineering Manager to lead and develop high-performance engineering teams. The role involves managing talented software engineers, driving technical innovation, and contributing to the company's cutting-edge technological solutions in quantitative finance and machine learning.
As a Software Engineering Manager, you will be responsible for leading and developing engineering teams that build sophisticated real-time platforms and process massive datasets. Your primary responsibilities will include strategic team management, technical leadership, and ensuring the delivery of high-quality, scalable software solutions that support G-Research's quantitative research and machine learning initiatives.
The ideal candidate will have extensive experience in software engineering management, with a proven track record of leading complex technical projects. You should possess strong technical skills, preferably in distributed systems, high-performance computing, and financial technology. Experience in machine learning platforms, data engineering, and cloud infrastructure will be highly advantageous. A deep understanding of software development methodologies, team dynamics, and the ability to mentor and grow engineering talent are crucial for success in this role.
G-Research offers an exceptional working environment with competitive compensation, opportunities for professional growth, and the chance to work on groundbreaking technological challenges. The company provides a collaborative, innovative culture where world-leading ideas are cultivated and rewarded. You'll be part of a dynamic team that partners directly with researchers, designs cutting-edge platforms, and contributes to significant technological advancements in quantitative finance.
