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No Experience Quant Internships Jobs (NOW HIRING)

Jane Street

Quantitative Researcher

New York, NY

You'll work side by side with our experienced Quantitative Researchers to learn how we identify ... You'll spend the bulk of your internship working closely with full-time researchers on projects ...

Jane Street

Quantitative Researcher

New York, NY · On-site

You'll work side by side with our experienced Quantitative Researchers to learn how we identify ... You'll spend the bulk of your internship working closely with full-time researchers on projects ...

Jane Street

Quantitative Trader

New York, NY

You'll be paired with experienced quantitative traders who will teach you how to identify market ... During the internship, your work is reinforced with intensive classes, workshops, and team-based ...

Jane Street

Quantitative Trader

New York, NY · On-site

You'll be paired with experienced quantitative traders who will teach you how to identify market ... During the internship, your work is reinforced with intensive classes, workshops, and team-based ...

Jump Trading

The quant trading internship is an intensive 10-week program focused on enhancing your trading aptitude and understanding of financial markets, as well as helping you experience what it's like to be ...

Jump Trading

The quant trading internship is an intensive 10-week program focused on enhancing your trading aptitude and understanding of financial markets, as well as helping you experience what it's like to be ...

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No Experience Quant Internships information

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$169.7K

$259.5K

How much do no experience quant internships jobs pay per year?

As of Aug 8, 2026, the average yearly pay for no experience quant internships in the United States is $169,729.00, according to ZipRecruiter salary data. Most workers in this role earn between $134,500.00 and $199,000.00 per year, depending on experience, location, and employer.

What types of projects or tasks can I expect to work on during a no experience quant internship?

As a no experience quant intern, you can expect to work on a variety of tasks that introduce you to quantitative analysis and financial modeling. Common projects may include assisting with data cleaning and processing, running statistical analyses, backtesting trading strategies, and supporting senior team members with research tasks. You'll likely collaborate closely with experienced quants and software engineers, gaining exposure to tools such as Python, R, and Excel. This hands-on experience is designed to help you build foundational skills and understand how quantitative methods are applied in finance, even if you’re just starting out.

What is the difference between No Experience Quant Internships vs Quant Analyst?

AspectNo Experience Quant InternshipsQuant Analyst
Required CredentialsLimited or no prior experience, often open to students or entry-level candidatesTypically requires a degree in finance, mathematics, or related field; some roles prefer internships or relevant experience
Work EnvironmentInternship setting, often in financial firms or hedge funds, with mentorship and trainingFull-time professional role, involving complex data analysis and model development
Employer & Industry UsageUsed by financial firms to train future analysts, common in investment banks and hedge fundsEstablished role in quantitative finance teams, responsible for trading strategies and risk management

In summary, No Experience Quant Internships are entry-level positions designed for individuals starting in finance, offering training and mentorship. Quant Analysts are experienced professionals responsible for developing and implementing quantitative models, requiring relevant education and experience.

What are the key skills and qualifications needed to thrive as a quantitative intern with no prior experience, and why are they important?

To thrive as a Quantitative Intern with no prior experience, you need a strong foundation in mathematics, statistics, and programming, typically demonstrated through coursework in quantitative fields. Familiarity with tools like Python, R, MATLAB, and Excel, along with knowledge of financial modeling or data analysis libraries, is highly valued. Curiosity, analytical thinking, and effective communication help you stand out when learning new concepts and collaborating with teams. These skills and qualities enable you to quickly adapt, contribute to projects, and solve real-world quantitative problems in a fast-paced environment.
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No Experience Quant Internships jobs near you
Infographic showing various No Experience Quant Internships job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 76% Full Time, 19% Part Time, and 4% Contract. Highlights an 93% Physical, 1% Hybrid, and 6% Remote job distribution, with an average salary of $169,729 per year, or $81.6 per hour.

New Grad Full-Time Quantitative Trader

WallStreetQuants

New York, NY • On-site

Full-time

Re-posted 10 days ago

Job description

About the Role
Proprietary trading firm based in New York City is seeking a highly motivated New Graduate Quantitative Trader to join the team full-time. In this role, you will apply analytical thinking and market intuition to pricing, execution, and risk decisions as part of the firm's quantitative trading team.
This is an ideal opportunity for recent graduates who are passionate about financial markets, probability, game theory, technology, and fast-paced decision-making. The work spans quant trading, algorithmic trading, market making, probability, execution, and risk management. You will work closely with experienced traders, quantitative researchers, and engineers to learn how modern strategies, models, and trading systems are designed, tested, and implemented.
The team is small, technical, and collaborative, with direct access to experienced traders, quantitative researchers, engineers, high-quality market data, and modern research infrastructure.
This is a hybrid opportunity based in New York, United States.
Requirements
Responsibilities
- Reason through pricing, risk, and execution decisions.
- Analyze trade outcomes and market behavior with data.
- Build disciplined habits around probability, sizing, and feedback loops.
- Monitor and analyze real-time market data to identify trading opportunities.
- Support the development, testing, and refinement of quantitative trading strategies.
- Make fast, data-informed trading decisions while managing risk.
- Conduct statistical analysis on historical and live market data.
- Evaluate market microstructure, liquidity, volatility, and other drivers of price movement.
- Participate in trading simulations, training programs, and strategy review sessions.
- Communicate trade ideas, risks, and performance insights clearly to the team.
- Continuously improve decision-making through feedback, research, and post-trade analysis.
Qualifications
- Final-year student or recent graduate from any degree discipline with strong analytical instincts.
- Comfort with probability, mental math, games, markets, or coding.
- Interest in learning within a fast-feedback trading environment; no prior quant or finance experience is required.
- Final-year student or recent graduate from any degree discipline who is ready to begin a full-time role.
- No specific academic major is required; analytical ability and learning speed matter more than subject studied.
- Strong quantitative, analytical, and problem-solving skills.
- Interest in financial markets, trading, probability, strategy games, or competitive problem-solving.
- Ability to make decisions quickly and remain calm under pressure.
- Strong attention to detail, intellectual curiosity, and a disciplined approach to risk.
- Programming experience in Python or a similar language is preferred.
- Prior internship, research, trading competition, or personal project experience is a plus but not required.
- Applicants from every degree discipline are welcome.
- No prior quantitative finance, trading, or investment-industry experience is required.
- Strong attention to detail, intellectual curiosity, and a commitment to continuous improvement.
- Excellent communication and teamwork skills.
Ideal Candidate
The ideal candidate is intellectually curious, competitive, numerically strong, and comfortable making decisions with incomplete information. You enjoy solving complex problems, thinking strategically, learning from feedback, and working in a fast-moving environment where performance and precision matter.
Benefits
What We Offer
  • Comprehensive training in trading, market structure, risk management, and quantitative strategy development.
  • Mentorship from experienced quantitative traders, researchers, engineers, and technologists.
  • Exposure to live markets, real financial datasets, and the full path from idea to implementation.
  • A collaborative, high-performance environment that values curiosity, discipline, and continuous learning.
  • Opportunities for rapid growth based on performance, ownership, and measurable impact.
  • Competitive compensation and a benefits package aligned with the employer and location.
  • Competitive compensation and benefits package.

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