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    Quantitative Researcher - Internship - Summer 2027

    InfiniteQuant · New York, New York, United States

    Summer 2027On-sitePaidPosted 2026-05-29
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    About the role#

    The Quantitative Researcher internship for Summer 2027 offers an opportunity to work within a proprietary trading firm focused on high-frequency quantitative trading. Interns may rotate across different tracks, including high-frequency trading and prediction market trading, to gain experience in global financial markets, commodities, and digital assets.

    What you'll do#

    • Analyze order book and market trade data to generate high-frequency signals with statistical significance.
    • Construct alpha signals and monetize latency-sensitive, capacity-constrained strategies.
    • Engage in sports and prediction market trading using quantitative pricing and liquidity management techniques.
    • Monitor and analyze sports prediction markets, including betting odds and price movements, to provide insights for predicting outcomes.

    What you'll need#

    • Currently pursuing or holding a Master's or Ph.D. in a quantitative discipline such as Statistics, Mathematics, Computer Science, Finance, Economics, Data Science, Electrical Engineering, or Physics.
    • Experience in leading high-frequency trading (HFT) prop shops, trading firms, or hedge funds.
    • Strong programming proficiency in Python, specifically with NumPy and pandas, and C++.
    • Experience with Machine Learning or Deep Learning.
    • An understanding of market microstructure and experience in data-driven research and strategy development.

    Location & details#

    • Location: New York, New York (On-site).
    • Term: Summer 2027.
    • Sponsorship: Visa sponsorship is available for qualified candidates.
    • Employment: Full-time internship.
    Relevant fields:StatisticsMathematicsComputer ScienceFinanceEconomicsData ScienceElectrical EngineeringPhysics

    About InfiniteQuant

    Founded in 2020 and headquartered in New York, InfiniteQuant is a privately held firm that operates within the capital markets sector. The company employs between 11 and 50 people to manage high-frequency quantitative trading and statistical arbitrage strategies. All internal operations, including data analysis, simulation, and the development of automated trading systems, are handled in-house.

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