Quant Research Analyst, Intern
Required skills
Strong Python proficiency, Solid foundation in quantitative methods, Hands-on experience with ML/DL, Practical exposure to LLMs and AI agents, Exposure to factor-based strategies, Comfortable working with new or unstructured datasets, Ability to assist PMs with portfolio analytics, Currently enrolled at a top-tier university in Computer Science, Mathematics, Statistics, Physics, or a related quantitative field
Preferred skills
Prior internship in quantitative research or systematic investing, Familiarity with China equity markets (A-shares, market structure), Versatility to move between research and engineering
Technologies
Python, PyTorch, TensorFlow, LLMs, AI agents
Responsibilities
Signal research, backtesting, data processing, prototyping, designing, testing, and critically evaluating signals, cleaning, exploring, and extracting value from imperfect data, analysing return attribution, risk decomposition, and testing portfolio construction parameters
Seniority
Intern
Domain
Quantitative research, systematic investing, portfolio construction, factor-based strategies, alternatives investment