Quantitative Researcher - 2027 Summer Internship

InfiniteQuant is a global quantitative trading and technology company. As a privately owned and funded proprietary trading firm, we focus on high-frequency quantitative trading across global financial markets. Our entire technology stack, from market data infrastructure and research platforms to simulation engines, execution systems, and trading strategies, is built in-house. Our high-frequency trading strategies generate hundreds of millions of order messages daily across thousands of symbols on major electronic exchanges. We maintain a multi-year archive of historical tick-by-tick market data, powering quantitative research, simulation, and strategy development. Job Description InfiniteQuant LLC is pleased to announce our annual Quantitative Researcher/Developer Internship tailored for students and recent graduates. We are actively seeking candidates with expertise in high-frequency statistical arbitrage, focusing on global commodities and digital assets, as well as in market-making strategies for spot, future, swap, and options. Exceptional interns will have the chance to rotate among various tracks throughout their internship, providing a comprehensive experience in the field. Since 2021, our summer internship program has given interns the opportunity to work on quantitative research for proprietary high-frequency trading (HFT) and alpha-driven market making in highly competitive markets, tackling real problems with real market data alongside our research and trading teams. Tracks Track1 - High-Frequency Trading Analyze order book data and market trade data to generate high-frequency signals with strong statistical significance. Directly responsible for the construction of alpha signals or monetization for latency-sensitive, capacity-constrained strategies. Track2 - Prediction Market Trading Engage in sports and prediction market trading using quantitative pricing and liquidity management techniques. Monitor, track, and analyze sports prediction markets, including betting odds, price movements, and market sentiment, and provide insights for predicting sports outcomes. Team-wide career skills improvement workshops, group coaching, onsite events, and one-on-one training. USA or UAE working visa sponsorship for qualified candidates if needed. Team outing event and team dinner. Earn performance-based bonus. Corporate swag Well-stocked office kitchen. Salary Range Location USA: Downtown Manhattan, New York Hong Kong Interview Process The interview process includes a few rounds with Quants, a coding test, and concludes with a final interview. Our candidate pool is exceptionally competitive. Successful candidates are either pursuing or have attained Master's or Ph.D. degrees, or they have significant work or internship experience from HFT proprietary trading firms or hedge funds. Other Frequently Asked Questions & Answers Please refer to Google Doc Qualifications Candidates must pursue or hold a Master's or Ph.D. in a quantitative discipline with an understanding of market microstructure. Experience in leading HFT prop shops, trading firms, or hedge funds. Work or internship experience in crypto trading is a plus. Proficiency in data-driven research, advanced statistics, and strategy development is expected. Strong Python skills, particularly with NumPy and pandas. Proficiency in C++. Machine Learning / Deep Learning experience competitive experience on Kaggle or similar platforms is a big plus Interested in spending 10 weeks working on real-world quantitative trading research? Additional Information InfiniteQuant LLC is an Equal Employment Opportunity employer. We are committed to providing an environment of mutual respect where equal employment opportunities are available to all applicants without regard to race, color, religion, sex, pregnancy, national origin, age, disability, marital status, sexual orientation, gender identity, genetic information, military and veteran status, and any other characteristics protected by applicable law. We seek to recruit, develop, and retain the most talented and qualified applicants from a diverse candidate pool. #J-18808-Ljbffr InfiniteQuant