Job Description

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.