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Quant Intern Jobs in New York (NOW HIRING)

Point72

Quantitative Research Intern (NLP)

New York, NY · On-site

We are seeking a quant research intern to join an NLP quant team within Point72. We believe the significant advances in NLP methods show promise for finance. We develop and launch end-to-end signals ...

Point72

Quantitative Research Intern (NLP)

New York, NY · On-site

We are seeking a quant research intern to join an NLP quant team within Point72. We believe the significant advances in NLP methods show promise for finance. We develop and launch end-to-end signals ...

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Quant Intern information

What does a quant intern do?

A Quant Intern supports quantitative researchers and traders by analyzing financial data, developing mathematical models, and coding algorithms to improve trading strategies. Interns typically use programming languages like Python and C++ and work with large data sets to identify patterns and optimize risk management. The role requires strong analytical skills, proficiency in statistics, and a solid understanding of financial markets.

What skills and qualifications are needed to thrive as a quant intern?

To thrive as a Quant Intern, you need a solid background in mathematics, statistics, computer science, or a related field, often supported by coursework in probability, calculus, and linear algebra. Proficiency with programming languages such as Python, R, or MATLAB, and familiarity with data analysis tools and version control systems, are commonly required. Exceptional problem-solving skills, attention to detail, and the ability to communicate complex concepts clearly are vital soft skills for this role. These skills enable interns to analyze large datasets, develop quantitative models, and contribute effectively to fast-paced, collaborative finance or technology teams.

What kinds of projects or tasks can I expect to work on as a quant intern?

As a Quant Intern, you will typically work on projects involving data analysis, building and testing quantitative models, and assisting in the implementation of trading algorithms or risk management tools. You may be expected to clean and analyze large datasets, backtest strategies, and prepare summaries or visualizations of your findings for your team. Interns often collaborate closely with experienced quantitative analysts and traders, receiving mentorship and guidance throughout the process. This hands-on work provides valuable exposure to the workflow and challenges of quantitative finance, allowing you to build practical skills and a strong foundation for a future career in the field.

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Infographic showing various Quant Intern job openings in New York as of August 2026, with employment types broken down into 13% Internship, 1% As Needed, 66% Full Time, 17% Part Time, 1% Temporary, and 2% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution.

Quant Developer / Quant Research Intern - 2026/2027

Anthelion Capital Holdings

New York, NY • On-site

$1.8K - $2.0K/wk

Full-time, Internship

Re-posted 9 days ago

Job description

About Anthelion
Anthelion Capital is an investment and data science platform. We augment our fundamental investment core with data science to make investments across the capital structure. We are building a proprietary platform that runs the full investment lifecycle, from underwriting to portfolio management.
What you'll do.
As an intern, you'll work directly with our quant team on a real piece of that platform.
Build the systems a systematic investment platform runs on - from the inside.
No prior finance, credit, or trading experience is required - we hire for quantitative and engineering ability and teach the domain.
What you might work on (matched to your strengths):
• Market or reference data ingestion with point-in-time correctness (no lookahead, as-of-date correct).
• Building and validating a candidate factor or risk model on the emerging platform, with an emphasis on robustness and out-of-sample validity.
• A piece of the research-to-production path - the tooling that promotes a signal to production by configuration rather than a rewrite.
• A component of the backtesting / simulation engine, the feature/signal store, or the portfolio optimizer.
We're looking for:
• Currently pursuing an undergrad, master's, or PhD in CS, math, statistics, physics, or a related quantitative field.
• Strong programming ability in Python (C++, Rust, or another language is a plus).
• Solid fundamentals in statistics and/or ML, and the instinct to be suspicious of results that look too good.
• Evidence of building things and going deep - research, open source, competitive programming (ICPC/Codeforces), Kaggle, olympiads, or substantial personal projects.
• Nice to have: exposure to markets/investing, data engineering, orchestration tools (Dagster/Prefect), or cloud (Azure).
Logistics: 12-week onsite internship - Fall 2026 (September-November); Winter 2026 (December-February); or Summer 2027 (June-August). Open to students graduating December 2026 through Summer 2028; PhD candidates with later graduation dates are also considered.
Additional Details:
Compensation: $1800 - $2000 per week depending on level of coursework. Strong interns are our primary source of full-time offers.
Location: Onsite, Midtown, New York City
Other: Must have US work authorization or ability to use OPT during the time of your internship.

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