Quantitative Researcher – Internship

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.

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.

Benefits

• 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.
• Career workshop.
• Team outing event and team dinner.
• Earn performance-based bonus.
• Corporate swag
• Well-stocked office kitchen.

Salary Range

$6,000-$10,000 per month

Location

• USA: Downtown Manhattan, New York
• UAE: Jumeirah Lakes Towers (JLT), Dubai
• Remote

Interview Process

The interview process includes 1-2 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.

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