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Intern Quantitative Modeling Jobs in New York (NOW HIRING)

Jane Street

Quantitative Trader

New York, NY

We don't believe in "one-size-fits-all" modeling solutions; we are open to and excited about ... As a quantitative trading intern, you'll also have the opportunity to participate in one "elective ...

Jane Street

Quantitative Trader

New York, NY · On-site

We don't believe in "one-size-fits-all" modeling solutions; we are open to and excited about ... As a quantitative trading intern, you'll also have the opportunity to participate in one "elective ...

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Intern Quantitative Modeling information

What is an intern quantitative modeling?

Intern Quantitative Modeling positions are internship roles where students or recent graduates work with experienced quantitative analysts to develop and implement mathematical models that assist in financial decision-making, risk management, or trading strategies. Interns typically use statistical, programming, and analytical skills to analyze large data sets and help solve real-world financial problems. These internships offer hands-on experience with quantitative tools, exposure to industry practices, and opportunities to learn from professionals in fields such as finance, insurance, or technology.

What does an intern quantitative modeling do?

As an Intern in Quantitative Modeling, you can expect to assist with developing, testing, and validating mathematical models used for financial analysis, risk assessment, or trading strategies. Typical tasks include working with large datasets, coding in programming languages such as Python or R, and collaborating with senior analysts or data scientists to solve real-world business problems. You'll often participate in team meetings, present your findings, and receive feedback to refine your models. This hands-on experience will help you build strong technical and analytical skills, while giving you exposure to the collaborative nature of quantitative teams in finance or technology firms.

What are the key skills and qualifications needed to thrive as an intern quantitative modeling?

To thrive as an Intern in Quantitative Modeling, you need a solid foundation in mathematics, statistics, and programming, often supported by coursework in quantitative fields like finance, engineering, or computer science. Familiarity with tools such as Python, R, MATLAB, and experience with statistical modeling libraries or financial data systems is highly valuable. Strong analytical thinking, attention to detail, and effective communication skills distinguish top candidates in this role. These skills and qualities are crucial for accurately analyzing complex data, building reliable models, and clearly presenting findings to support business or research decisions.

What is the difference between Intern Quantitative Modeling vs Intern Data Analysis?

AspectIntern Quantitative ModelingIntern Data Analysis
Required SkillsMathematics, programming, financial modelingData manipulation, statistical analysis, visualization
Work EnvironmentFinance, investment banks, hedge fundsTech companies, consulting firms, research institutions
Typical TasksBuilding models, forecasting, risk assessmentData cleaning, reporting, trend analysis

Intern Quantitative Modeling and Intern Data Analysis roles often overlap in skills like programming and data handling. However, quantitative modeling focuses more on creating financial or mathematical models used for decision-making, while data analysis emphasizes interpreting data to uncover insights. Both roles are common in finance and tech industries, but they serve different strategic purposes.

What are the most commonly searched types of Quantitative Modeling jobs in New York?

The most popular types of Quantitative Modeling jobs in New York are:

Intern Quantitative Modeling jobs near you

Bernstein - Quantitative Research & Trading Intern - Fall 2026

Societe Generale

New York, NY

Full-time, Part-time, Internship

Re-posted 3 days ago

Job description

We are looking for a highly self-motivated, fast-learning intern to join our quantitative research and trading team. This role is ideal for candidates who can operate independently, quickly understand complex systems, and contribute to production-level projects.

You will work closely with a small, high-impact team building and supporting a global trading system spanning market data, execution algorithms, and analytics.

Key Responsibilities

  • Develop and enhance quantitative models for trading and execution
  • Analyze large-scale market data to extract actionable signals
  • Support algorithmic trading strategies (alpha, execution, microstructure)
  • Build tools for data analysis, simulation, and visualization
  • Collaborate with engineers on system integration (Python / Java / C )
  • Debug and improve production trading systems

Basic Qualifications

  • Strong self-drive and ability to work independently
  • Background in Mathematics, Statistics, Computer Science, or Engineering
  • Programming experience in at least one of: Python, C , or Java
  • Understanding of data structures, algorithms, probability, and statistics
  • Ability to read and understand complex existing codebases
  • Be in your penultimate year of study of a bachelor's or master's degree, we will also consider post graduate interns.  
  • Be available for full-time or part-time work the fall of 2026.

Preferred Qualifications

  • Experience with quantitative trading, financial markets, or time series modeling
  • Familiarity with machine learning techniques
  • Experience with 3D modeling or simulation tools (e.g., Blender), demonstrating spatial reasoning and technical creativity
  • Exposure to Linux, distributed systems, or cross-language systems (e.g., Java C )

 Base salary range does not include overtime pay, bonus and/or other benefits, where applicable. Actual base salary offer will vary based on skills and experience.

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