Quantitative Researcher Intern

Batch: 2028. Education: - Pursuing a Bachelor's or Integrated Master's degree - Expected graduation in 2028 - Mathematics, Computer Science or Electrical Engineering - CGPA of 8.5 or above - No active backlogs Technical Foundation: - Strong programming skills in Python and/or C++ - A solid understanding of probability, statistics, linear algebra and optimization - Experience with machine learning, statistical modelling or data analysis through coursework, research or personal projects - Confidence working with large datasets - Strong analytical thinking and problem-solving ability