Quantitative Researcher

About EG:

Engineers Gate (EG) is a leading quantitative investment company focused on computer-driven trading in global financial markets. We are a team of researchers, engineers, and financial industry professionals using sophisticated statistical models to analyze data and identify predictive signals to generate superior investment returns. EG’s investment teams each focus on their independent strategies while utilizing the firm’s proprietary, state-of-the-art technology and data platform to optimize their alpha research. 

Joining Engineers Gate offers a unique opportunity to work at the forefront of systematic trading, where innovation and quantitative analysis intersect. We are passionate about implementing scientific and mathematical methods to explore and solve problems in the global financial markets. If you thrive in a fast-paced, data-driven environment, we encourage you to apply. 

About The Role:

We are seeking a highly motivated Quantitative Researcher to join one of our systematic equity trading teams in our NYC office. In this role, you will be able to leverage the team’s existing research and trading infrastructure to develop innovative systematic trading strategies in their full cycles, from alpha research and signal generation to portfolio construction, execution, and ongoing risk management. 

As part of a small, collaborative team, this individual will work closely with the Portfolio Manager across all aspects of the investment process. 

Key Responsibilities:

• Process and analyze all kinds of data sets in various formats. 

• Collaborate closely with the PM to develop alpha signals out of both traditional and alternative data sets. 

• Build and enhance research tools, alpha pipelines, and scalable time-series data infrastructure to support strategy development. 

• Stay informed on equity market structure, intraday dynamics, emerging data sources, and relevant technological advancements. 

Qualifications:

• 1+ year of experience in systematic equities space either as researcher or trader. 

• Master/PhD degree in computer science, mathematics, or a related STEM field. 

• Strong understanding of the full trading lifecycle, from alpha research and signal generation through portfolio construction, execution, and risk management. 

• Strong mathematical and programming skills (must be proficient in Python and SQL). 

• Familiarity with Linux environment. 

• Ability to work both independently with light guidance and effectively collaborate with other team members when needed. 

• Ability to thrive in a fast-paced start-up environment. 

The base salary for this role is anticipated to be $100,000–$180,000, excluding potential bonuses, additional compensation, and benefits. Actual compensation will depend on various factors including skills, experience, and qualifications.