Quantitative Associate

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 collaborative 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.