Join Engineers Gate as a Quantitative Research Intern and work on hands-on research with experienced researchers and engineers. Apply your skills in statistical modeling, machine learning, or finding signal in noisy financial data.
Requirements
- Bachelor's, Master's, or Ph.D. from a top-tier university in a quantitative field (Computer Science, Mathematics, Engineering, Physics, Statistics, Finance, Economics, or related)
- Strong programming skills in Python (required); experience with SQL, databases, and Linux environments
- Experience or coursework in quantitative research, data analysis, statistical modeling, or machine learning
- Comfortable working with large datasets and applying statistical or machine learning techniques to financial data
- Strong analytical thinking, creativity, and attention to detail
- Excellent written and verbal communication skills
- Passion for quantitative finance with a high sense of ownership, curiosity, and a growth mindset
Benefits
- Please review the applicable candidate privacy notice available at https://www.eglp.com/legal-and-privacy-notices