Quant Researcher Internship — HFT & Market Making

InfiniteQuant

New York (NY)

On-site

USD 34,000 - 55,000

Full time

5 days ago
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Benefits offered by this job

Visa sponsorship available
Performance-based bonus

Job summary

InfiniteQuant LLC invites talented students and graduates to a 10-week Quantitative Researcher/Developer Internship in New York. You will work on high-frequency statistical arbitrage and market making across commodities and digital assets, with exposure to multiple tracks and real market data.

Successful interns will rotate through tracks, gaining hands-on experience in research and trading alongside seasoned quants.

Qualifications

  • Pursuing or holding a Master’s or Ph.D. in a quantitative field with understanding of market microstructure.
  • Experience at leading HFT prop shops, trading firms, or hedge funds.
  • Crypto trading experience is a plus.
  • Data-driven research, quantitative statistics, and strategy development are expected.
  • Strong Python skills, especially with NumPy and pandas; Proficiency in C++.

Responsibilities

  • Analyze order book data and market trade data to generate high-frequency signals with statistical significance.
  • Contribute to alpha signal construction and monetization for latency-sensitive strategies.
  • Participate in prediction market trading and quantitative pricing/ liquidity management.
  • Attend workshops, coaching sessions, and on-site training; collaborate with research and trading teams.

Skills

Python
C++
ML/DL
Kaggle

Education

Master's or Ph.D. in a quantitative discipline

Tools

NumPy
pandas

Job description

InfiniteQuant LLC invites talented students and graduates to a 10-week Quantitative Researcher/Developer Internship in New York. You will work on high-frequency statistical arbitrage and market making across commodities and digital assets, with exposure to multiple tracks and real market data.

Successful interns will rotate through tracks, gaining hands-on experience in research and trading alongside seasoned quants.

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