G-Research is seeking an experienced Machine Learning Engineer to join their innovative quantitative research team. The role involves developing cutting-edge machine learning solutions to predict financial market movements, working alongside world-class researchers and engineers in a highly technical and collaborative environment.
As a Machine Learning Engineer at G-Research, your primary responsibilities will include designing, developing, and deploying advanced machine learning models and algorithms that drive sophisticated trading strategies. You will work closely with quantitative researchers to translate complex financial research into scalable, high-performance machine learning systems that can process massive datasets and generate predictive insights.
The ideal candidate will have extensive experience in machine learning, strong programming skills, a deep understanding of statistical modeling techniques, and proven expertise in developing production-ready ML solutions. A solid background in computer science, mathematics, or a related technical field is essential, with demonstrated experience in implementing machine learning algorithms at scale, understanding complex financial datasets, and translating research concepts into robust technical implementations.
G-Research offers an exceptional compensation package, opportunities for continuous learning and professional growth, and the chance to work at the forefront of quantitative finance and machine learning technology. The company provides a stimulating work environment with cutting-edge technology, collaborative teams, and the opportunity to solve complex computational challenges that have direct impact on financial markets.
