Quantitative Research Intern

<p><strong>About EG </strong></p> <p>Engineers Gate (EG) is a leading investment manager founded in 2014 as a quantitative, computer-driven trading firm.&nbsp;Today, EG operates as a diversified, multi-strategy investment platform that combines systematic research with&nbsp;selective discretionary approaches.<br><br>EG's multi-manager platform allows independent investment teams to pursue distinct strategies while benefiting from&nbsp;shared infrastructure, risk management, and operational support. The firm’s collaborative groups of researchers,&nbsp;engineers, and investment professionals deploy sophisticated statistical models, proprietary technology, and a&nbsp;centralized data platform to isolate and solve challenging problem sets in the global financial markets. &nbsp;</p> <p><strong>About The Role</strong></p> <p>We're looking for intellectually curious, driven students at both the undergraduate and graduate level to join one of our investment teams as a Quantitative Research Intern.</p> <p>This is a hands-on research role where you'll be working directly alongside experienced researchers and engineers, digging into real data, asking meaningful questions, and contributing to work that has a tangible impact on how we invest. Whether you're drawn to statistical modeling, machine learning, or the challenge of finding signal in noisy financial data, this internship is a chance to apply and sharpen your skills in a rigorous, collaborative environment.</p> <p><strong>Key Responsibilities</strong></p> <ul> <li>Clean, validate, and analyze diverse datasets to provide a reliable foundation for global equities alpha research</li> <li>Develop alpha factors with economic insights and statistical significance from multi-dimensional data</li> <li>Design rigorous backtesting frameworks for performance evaluation and robustness testing</li> <li>Assist in designing, testing, and evaluating quantitative models and strategies</li> <li>Communicate research findings clearly to team members</li> </ul> <p><strong>Qualifications</strong></p> <ul> <li>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)</li> <li>Strong programming skills in Python (required); experience with SQL, databases, and Linux environments</li> <li>Experience or coursework in quantitative research, data analysis, statistical modeling, or machine learning</li> <li>Comfortable working with large datasets and applying statistical or machine learning techniques to financial data</li> <li>Strong analytical thinking, creativity, and attention to detail</li> <li>Excellent written and verbal communication skills</li> <li>Passion for quantitative finance with a high sense of ownership, curiosity, and a growth mindset</li> </ul> <p>The expected salary range for this role is $120,000–$192,000, prorated based on the duration of the internship. Actual compensation will be determined based on a variety of factors, including the candidate’s skills, qualifications, education, and experience.</p> <p>Please review the applicable candidate privacy notice (the “<strong>Notice</strong>”) available at <a href="https://www.eglp.com/legal-and-privacy-notices" target="_blank">https://www.eglp.com/legal-and-privacy-notices</a>. By seeking employment with Engineers Gate HK Limited or EG SG Pte. Ltd., as applicable (“<strong>EG</strong>”) or submitting your application and/or personal data to EG, you acknowledge that you have read and understood the Notice and have agreed and consented to EG's collecting, using, disclosing, processing and/or transferring your personal data in accordance with the Notice.</p>