Quantitative Researcher

About the Role

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.

We are seeking a highly motivated Quantitative Research Intern to join one of our investment teams. In this hands-on research role, you will collaborate with experienced team members to explore data, develop predictive models, and support research initiatives. This opportunity provides practical experience applying quantitative skills in a dynamic, real-world environment.

We value continuous learning and development, and this role offers the chance to work closely with professionals across research, engineering, and investment teams. If you thrive in a fast-paced, data-driven setting, we encourage you to apply.

Key Responsibilities

• Conduct research on large and complex datasets to identify trends, patterns, or predictive signals

• Assist in designing, testing, and evaluating quantitative models or strategies

• Support feature engineering, data analysis, and model validation

• Analyze results and contribute to recommendations for research or strategy development

• Communicate research findings clearly to team members

Required Skills, Qualifications, and Experience

• Currently pursuing an undergraduate or graduate degree in a quantitative field (Computer Science, Mathematics, Engineering, Physics, etc.)

• Strong programming skills in Python and SQL

• Experience or coursework in quantitative research, data analysis, or modeling

• Comfortable working with large datasets and applying statistical or machine learning techniques

• Strong analytical thinking, creativity, and attention to detail

• Excellent written and verbal communication skills

• High ownership, curiosity, and a growth mindset

• Ability to thrive in a fast-paced and collaborative environment
  
  

The expected salary range for this role is $75,000–$100,000, prorated based on the duration of the program. Actual compensation will be determined based on a variety of factors, including the candidate’s skills, qualifications, education, and experience.