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Internship Python Quant Jobs in Mount Vernon, NY

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Internship Python Quant information

What types of projects can an internship Python quant expect to work on, and how do these contribute to professional development?

As an Internship Python Quant, you can expect to work on data analysis, financial modeling, and algorithm development projects that support trading strategies or risk management. These projects often involve cleaning and analyzing large datasets, implementing statistical models, and automating reporting processes using Python. Collaborating closely with senior quants and traders, you'll gain practical exposure to real-world finance problems and enhance your coding, analytical, and communication skills—an excellent foundation for a future full-time quant role.

What are the key skills and qualifications needed to thrive as an internship Python quant, and why are they important?

To thrive as an Internship Python Quant, you need strong quantitative and analytical skills, foundational knowledge in mathematics or finance, and proficiency in Python programming. Familiarity with data analysis libraries (such as NumPy, pandas, and matplotlib), version control systems like Git, and experience with financial modeling tools are typically required. Attention to detail, problem-solving ability, and effective communication are standout soft skills for collaborating with teams and interpreting complex data. These skills are crucial for developing accurate quantitative models and delivering actionable insights in a fast-paced financial environment.

What is an internship Python quant?

An Internship Python Quant is a student or recent graduate position that focuses on quantitative analysis in fields like finance, trading, or data science, using Python as the primary programming language. Interns in this role typically work on tasks such as data analysis, model development, and algorithmic trading strategies, often supporting senior quantitative analysts or researchers. The position helps interns gain hands-on experience with financial data, statistical modeling, and the application of Python programming to solve real-world quantitative problems.

What is the difference between Internship Python Quant vs Quantitative Analyst?

AspectInternship Python QuantQuantitative Analyst
Required CredentialsTypically pursuing or recent graduate in finance, mathematics, or computer scienceBachelor's or master's in finance, mathematics, or related fields; often requires experience
Work EnvironmentInternship setting, learning-focused, entry-levelFull-time, professional environment, responsible for trading strategies
Employer & Industry UsageFinancial firms, hedge funds, investment banksFinancial institutions, asset management firms, hedge funds
Common Search & ComparisonYesYes

The Internship Python Quant is an entry-level position focused on learning and supporting quantitative trading strategies using Python. In contrast, a Quantitative Analyst is a full-time professional responsible for developing and implementing complex models for trading and risk management. The internship provides foundational experience, while the analyst role involves greater responsibility and expertise.

What job categories do people searching Internship Python Quant jobs in Mount Vernon, NY look for? The top searched job categories for Internship Python Quant jobs in Mount Vernon, NY are:
What cities near Mount Vernon, NY are hiring for Internship Python Quant jobs? Cities near Mount Vernon, NY with the most Internship Python Quant job openings:
Internship Python Quant jobs near you

Quant Developer / Quant Research Intern - 2026/2027

Anthelion Capital Holdings

New York, NY • On-site

$1.8K - $2.0K/wk

Full-time, Internship

Posted 16 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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