About the Firm Engineers Gate is a leading systematic quantitative investment company which operates globally. We are a team of researchers, engineers, and financial industry professionals using statistical models to generate superior investment returns. EG’s investment teams are supported by the firm’s proprietary, state-of-the-art technology and data platform. We are passionate about implementing scientific and mathematical methods to explore and solve problems in the global financial markets. About the Team and Role As a Quantitative Associate, you will be joining a small, collaborative team of investors and technologists focused on building and harnessing quantitative tools and approaches to best effect in the financial markets. This is an exciting opportunity to help shape a new role within an established and successful group. You will contribute to vital initiatives and partner with established team mates who will help your growth and development. Key Responsibilities:- - Explore and process novel data sets - Use data science skills to turn raw, sometimes messy data, into clean predictions of securities in financial markets - Iterate rapidly on ideas under the guidance of senior quantitative researchers - Leverage commercial LLMs as on-demand tutors and coding assistants - Communicate results clearly to the broader team via clear reports - Work closely with our in-house developers to generate ideas for new functionality in the platform and act as a user tester Required Skills, Qualifications and Experience A strong academic background, ideally with a degree in Mathematics, Statistics, Physics, Engineering, Computer Science, Economics or a similar field - Demonstrable knowledge and interest in statistics and modern machine learning methods - Programming skills (Python preferred) - Intellectual curiosity, self-motivation and ability to collaborate with research colleagues - Comfort using Large Language Models (LLMs) as productivity and learning tools This role is well-suited to graduates or early-career professionals (typically with up to 3 years of experience), but we welcome applicants who can demonstrate relevant skills from any background.