Quantitative Trader
New York, NY · On-site
As a quantitative trading intern, you'll also have the opportunity to participate in one "elective ... General programming experience is a plus, but knowing a particular programming language is not ...
Quantitative Trader
New York, NY · On-site
As a quantitative trading intern, you'll also have the opportunity to participate in one "elective ... General programming experience is a plus, but knowing a particular programming language is not ...
As a quantitative trading intern, you'll also have the opportunity to participate in one "elective ... General programming experience is a plus, but knowing a particular programming language is not ...
As a quantitative trading intern, you'll also have the opportunity to participate in one "elective ... General programming experience is a plus, but knowing a particular programming language is not ...
Simulation Engineer Intern information
See New Rochelle, NY salary details
$11.38 - $13.11
2% of jobs
$13.11 - $14.84
4% of jobs
$16.57 is the 25th percentile. Wages below this are outliers.
$14.84 - $16.57
19% of jobs
$16.57 - $18.31
24% of jobs
The median wage is $18.41 / hr.
$18.31 - $20.04
17% of jobs
$21.08 is the 75th percentile. Wages above this are outliers.
$20.04 - $21.77
16% of jobs
$21.77 - $23.50
6% of jobs
$23.50 - $25.23
5% of jobs
$25.23 - $26.96
3% of jobs
$26.96 - $28.70
3% of jobs
$28.70 - $30.43
1% of jobs
$11
$19
$30
How much do simulation engineer intern jobs pay per hour?
As of Aug 19, 2026, the average hourly pay for simulation engineer intern in New Rochelle, NY is $19.88, according to ZipRecruiter salary data. Most workers in this role earn between $16.59 and $21.54 per hour, depending on experience, location, and employer.
What does a simulation engineer intern do?
A Simulation Engineer Intern assists in creating and running computer-based models to predict how systems or products will perform in real-world scenarios. They typically work under the guidance of senior engineers, helping to analyze data, optimize designs, and solve engineering problems through simulations. This role often involves using specialized software such as MATLAB, ANSYS, or Simulink, and requires strong analytical and problem-solving skills. Simulation Engineer Interns gain valuable experience in applying theoretical knowledge to practical engineering challenges.
What types of projects and tasks can a simulation engineer intern expect to work on during their internship?
As a Simulation Engineer Intern, you can expect to work on a variety of projects that involve creating, running, and analyzing simulations to support product development or research. Typical tasks may include building simulation models using specialized software, validating simulation results against real-world data, and preparing reports for engineering teams. Interns often collaborate closely with senior engineers and cross-functional teams, such as design or testing, to ensure simulations align with project goals. This hands-on experience not only sharpens your technical skills but also provides valuable insights into the collaborative nature of engineering projects and the role of simulation in the product lifecycle.
What are the key skills and qualifications needed to thrive as a simulation engineer intern, and why are they important?
To thrive as a Simulation Engineer Intern, you need a solid background in engineering principles, mathematics, and physics, often supported by current enrollment in a relevant degree program. Familiarity with simulation software such as MATLAB, Simulink, or ANSYS, along with basic programming skills in languages like Python or C++, is typically required. Strong problem-solving abilities, attention to detail, and collaboration skills are essential soft skills for success in this role. These competencies are crucial for accurately modeling complex systems, analyzing results, and contributing effectively to engineering teams.
What is the difference between Simulation Engineer Intern vs Simulation Engineer?
| Aspect | Simulation Engineer Intern | Simulation Engineer |
|---|---|---|
| Required Credentials | Typically pursuing a bachelor's or master's in engineering, computer science, or related fields | Bachelor's or higher degree in engineering, computer science, or related disciplines; often with some professional experience |
| Work Environment | Internship setting, often part-time or summer roles within engineering teams | Full-time professional role within engineering or R&D teams |
| Employer & Industry Usage | Used by companies in automotive, aerospace, electronics, and manufacturing sectors for training and development | Used in similar industries for product development, testing, and simulation tasks |
The main difference between a Simulation Engineer Intern and a Simulation Engineer is experience level and responsibility. Interns are typically students gaining practical experience, while Simulation Engineers are full-time professionals responsible for designing and analyzing simulations to support product development.
What cities near New Rochelle, NY are hiring for Simulation Engineer Intern jobs?
Cities near New Rochelle, NY with the most Simulation Engineer Intern job openings:
Job description
About the Position
Our goals are to give you a real sense of what it's like to work as a Quantitative Trader at Jane Street while also providing a truly unparalleled educational experience. You'll be paired with experienced quantitative traders who will teach you how to identify market signals, analyze and execute strategies, construct quantitative models, conduct statistical analysis, and build trading intuition.
At Jane Street, the lines between research, technology, and trading are intentionally blurry, and you'll have access to petabytes of data, a computing cluster with hundreds of thousands of cores, and a growing GPU cluster containing tens of thousands of high-end GPUs. We don't believe in "one-size-fits-all" modeling solutions; we are open to and excited about applying all different types of statistical and ML techniques, from linear models to deep learning, depending on what best fits a given problem. You'll work closely with two different mentors on projects relating to their day-to-day work, giving you a sense of the variety of problems we solve every day. Past projects have included analyzing new or existing datasets, training predictive models, simulating potential new trading strategies, writing tools that we use in production, and even working to answer big-picture questions we haven't yet figured out.
During the internship, your work is reinforced with intensive classes, workshops, and team-based mock trading sessions. These will expose you to many of the dynamics we observe in real markets, illustrate the role that we play in making markets more efficient, and help build intuition for how we think about both trading and collaborating.
As a quantitative trading intern, you'll also have the opportunity to participate in one "elective" based on your interests. Electives consist of targeted classes and immersive activities, and are designed to give you a deeper and more nuanced look into one of the many aspects of what quantitative trading can look like at Jane Street:
Machine Learning, Modeling, and Data Science
You'll learn how Jane Street applies advanced machine learning and statistical techniques to make models and predictions using large datasets of both real and simulated market data. You'll learn how to train and use a variety of ML models, and gain an understanding of the differences between textbook machine learning and its application to noisy and complex financial data.
Algorithmic Trading and Market Microstructure
You'll learn the end-to-end process of developing an algorithmic trading strategy. You'll analyze market data to develop a tradable fair value and implement a trading strategy in Python. Your algorithmic strategy will connect directly to simulated markets with different market structures, and you will learn how to optimize your strategy given the unique attributes of each market. You will discover how various market dynamics affect strategy behavior and learn how real-world trading differs from simulation.
Trading Strategy and Scenarios
You'll be introduced to a rotating set of new trading scenarios inspired by real events on a particular trading desk. You'll work in teams on multiple mock trading sessions related to each scenario and use the time between sessions to refine your strategies, write recaps, and hear how the story played out in real life from our seasoned full-time traders who lived through it.
About You
If you've never thought about a career in finance, you're in good company. Many of us were in the same position before working here. If you have a curious mind, a collaborative spirit, and a passion for solving interesting problems, we have a feeling you'll fit right in. We're more interested in how you think and learn than what you currently know. You should be:
A profitable trading strategy is only as strong as the technology it runs on, and we consider ourselves as much a technology company as a trading firm. General programming experience is a plus, but knowing a particular programming language is not required.
If you'd like to learn more, you can read about our interview process and meet some of the team. Learn more about Jane Street's internship program here.
If you're a recruiting agency and want to partner with us, please reach out to agency-partnerships@janestreet.com.
Our goals are to give you a real sense of what it's like to work as a Quantitative Trader at Jane Street while also providing a truly unparalleled educational experience. You'll be paired with experienced quantitative traders who will teach you how to identify market signals, analyze and execute strategies, construct quantitative models, conduct statistical analysis, and build trading intuition.
At Jane Street, the lines between research, technology, and trading are intentionally blurry, and you'll have access to petabytes of data, a computing cluster with hundreds of thousands of cores, and a growing GPU cluster containing tens of thousands of high-end GPUs. We don't believe in "one-size-fits-all" modeling solutions; we are open to and excited about applying all different types of statistical and ML techniques, from linear models to deep learning, depending on what best fits a given problem. You'll work closely with two different mentors on projects relating to their day-to-day work, giving you a sense of the variety of problems we solve every day. Past projects have included analyzing new or existing datasets, training predictive models, simulating potential new trading strategies, writing tools that we use in production, and even working to answer big-picture questions we haven't yet figured out.
During the internship, your work is reinforced with intensive classes, workshops, and team-based mock trading sessions. These will expose you to many of the dynamics we observe in real markets, illustrate the role that we play in making markets more efficient, and help build intuition for how we think about both trading and collaborating.
As a quantitative trading intern, you'll also have the opportunity to participate in one "elective" based on your interests. Electives consist of targeted classes and immersive activities, and are designed to give you a deeper and more nuanced look into one of the many aspects of what quantitative trading can look like at Jane Street:
Machine Learning, Modeling, and Data Science
You'll learn how Jane Street applies advanced machine learning and statistical techniques to make models and predictions using large datasets of both real and simulated market data. You'll learn how to train and use a variety of ML models, and gain an understanding of the differences between textbook machine learning and its application to noisy and complex financial data.
Algorithmic Trading and Market Microstructure
You'll learn the end-to-end process of developing an algorithmic trading strategy. You'll analyze market data to develop a tradable fair value and implement a trading strategy in Python. Your algorithmic strategy will connect directly to simulated markets with different market structures, and you will learn how to optimize your strategy given the unique attributes of each market. You will discover how various market dynamics affect strategy behavior and learn how real-world trading differs from simulation.
Trading Strategy and Scenarios
You'll be introduced to a rotating set of new trading scenarios inspired by real events on a particular trading desk. You'll work in teams on multiple mock trading sessions related to each scenario and use the time between sessions to refine your strategies, write recaps, and hear how the story played out in real life from our seasoned full-time traders who lived through it.
About You
If you've never thought about a career in finance, you're in good company. Many of us were in the same position before working here. If you have a curious mind, a collaborative spirit, and a passion for solving interesting problems, we have a feeling you'll fit right in. We're more interested in how you think and learn than what you currently know. You should be:
- A strong quantitative thinker (no specific degree or major is required)
- A clear and effective verbal and written communicator
- Someone who enjoys working collaboratively on a team
- Eager to ask questions, admit mistakes, and learn new things
A profitable trading strategy is only as strong as the technology it runs on, and we consider ourselves as much a technology company as a trading firm. General programming experience is a plus, but knowing a particular programming language is not required.
If you'd like to learn more, you can read about our interview process and meet some of the team. Learn more about Jane Street's internship program here.
If you're a recruiting agency and want to partner with us, please reach out to agency-partnerships@janestreet.com.
About Jane Street
Sourced by ZipRecruiter
Industry
Finance and insurance
Company size
1,001 - 5,000 Employees
Headquarters location
New York, NY, US
Year founded
2000