Quantitative Research Intern

**Who We Are** We are a top-tier, crypto-native trading firm led by seasoned industry professionals with over a decade of consistent, market-leading performance. We are looking for highly motivated Quantitative Research Interns to work on cutting-edge alpha research and machine learning-driven modeling in the fast-evolving crypto markets. **Why Join Us** **Real Alpha Research Exposure** Work directly on live alpha generation and modeling problems, contributing to research that can have tangible trading impact. **Cutting-Edge Data \& Infrastructure** Gain hands-on exposure to large-scale tick-level market data, modern research infrastructure, and production-grade quantitative workflows. **Fast Learning Environment** Collaborate with experienced traders, researchers, and engineers in a highly execution-driven environment with rapid feedback loops. **What We Offer** * Exposure to real-world quantitative trading and alpha research * Hands-on experience with high-frequency and market microstructure data * Mentorship from experienced quantitative researchers and trading professionals * Flexible remote working arrangement * High-performance and collaborative research culture * Opportunity to convert to a full-time role based on performance **Quantitative Research Intern (Alpha \& Modeling)** **Location:** Remote **Commitment:** Minimum 3 months, at least 3 days/week or full-time **Key Responsibilities** * Generate and refine alpha ideas with a strong focus on practical implementation and measurable impact * Apply machine learning and statistical techniques to large-scale structured and unstructured datasets to uncover predictive signals * Research and optimize predictive model components, evaluating parameter stability, predictive power, and out-of-sample robustness * Conduct post-trade analysis to improve short-term alpha performance and execution quality * Perform rigorous backtesting and validation of strategies, including transaction costs, slippage, and market impact analysis * Work closely with researchers and engineers to iterate rapidly from idea generation to implementation **What We’re Looking For** * Currently pursuing or recently completed a Bachelor’s, Master’s, or PhD degree in Mathematics, Physics, Computer Science, Statistics, Engineering, or other quantitative disciplines * Strong curiosity, analytical thinking, and a hands-on problem-solving mindset * Excellent programming skills in Python, particularly with scientific and ML libraries such as NumPy, Pandas, SciPy, and scikit-learn * Strong coding ability in C\+\+ or Rust is a significant plus * Solid foundation in probability, statistics, optimization, and machine learning * Ability to independently research and solve complex quantitative problems * Prior experience in quantitative research, machine learning competitions, academic research, or trading-related projects is highly valued * Olympiad medalists, ACM/ICPC top performers, or candidates with outstanding research/publication backgrounds are strongly preferred