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Internship Algorithmic Trading Quant Jobs in Florida

WallStreetQuants

Quantitative Trading Intern

Miami, FL · On-site

The work spans quant trading, algorithmic trading, market making, probability, execution, and risk ... internship, research, trading competition, or personal project experience is a plus but not ...

WallStreetQuants

Quantitative Trading Intern

Miami, FL · On-site

The work spans quant trading, algorithmic trading, market making, probability, execution, and risk ... internship, research, trading competition, or personal project experience is a plus but not ...

Da Vinci

Experienced Quant

Miami, FL · On-site

Da Vinci is looking for experienced quants to join a highly skilled, collaborative team in solving ... Deep understanding of financial markets and/or algorithmic trading (especially for trading roles)

Da Vinci

Experienced Quant

Miami, FL · On-site

Da Vinci is looking for experienced quants to join a highly skilled, collaborative team in solving ... Deep understanding of financial markets and/or algorithmic trading (especially for trading roles)

Citadel

$4.5K - $5.8K/wk

Our signature internship program takes place June through August. Occasionally, we can be flexible ... algorithms into code * Back test and implement trading models and signals in a live trading ...

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Internship Algorithmic Trading Quant information

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

A strong foundation in mathematics, statistics, and programming (especially in Python, C++, or MATLAB), along with coursework or experience in finance, is essential for an Internship Algorithmic Trading Quant. Familiarity with data analysis libraries, quantitative modeling tools, and version control systems like Git is typically required. Analytical thinking, attention to detail, and effective communication set candidates apart in collaborative and fast-paced trading environments. These skills are crucial for designing, testing, and implementing robust trading algorithms that perform reliably in real-world financial markets.

What is an internship algorithmic trading quant?

An Internship Algorithmic Trading Quant is a student or recent graduate who works with a quantitative trading team to develop, test, and implement mathematical models and algorithms used for automated trading in financial markets. Their responsibilities often include data analysis, coding trading strategies, backtesting performance, and collaborating with senior quants and traders. This role provides hands-on exposure to quantitative finance, programming, and financial markets, making it a valuable learning experience for those interested in a career in trading, finance, or data science.

What types of projects or tasks can I expect to work on as an internship algorithmic trading quant?

As an Algorithmic Trading Quant Intern, you'll typically work on projects involving data analysis, strategy backtesting, and model development. You may assist in researching and testing new trading algorithms, analyzing market data, and developing tools to improve trading efficiency. Interns often collaborate closely with quantitative researchers, software engineers, and traders, gaining exposure to both the technical and business aspects of trading. This hands-on experience is invaluable for understanding how quantitative strategies are developed and deployed in real-world markets.
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Internship Algorithmic Trading Quant jobs near you
Infographic showing various Internship Algorithmic Trading Quant job openings in Florida as of July 2026, with employment types broken down into 1% Internship, 3% As Needed, 80% Full Time, 13% Part Time, 2% Contract, and 1% Nights. Highlights an 84% Physical, 2% Hybrid, and 14% Remote job distribution.

Quantitative Trading Intern

WallStreetQuants

Miami, FL • On-site

Full-time

Posted 21 days ago

Job description

A proprietary trading firm based in Miami is seeking a highly motivated Quantitative Trading Intern to join the team as an intern. 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 students and 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 an on-site opportunity based in Miami, United States.
Requirements
Responsibilities
- Analyze trading scenarios, pricing behavior, and risk tradeoffs.
- Build small research tools for market and strategy review.
- Practice clear reasoning under uncertainty.
- 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
- Current student from any degree discipline with strong numerical and analytical reasoning.
- Comfort with probability, mental math, coding, or strategy games.
- Interest in learning trading and market making; no prior quant or finance experience is required.
- Currently enrolled in any degree discipline and interested in building practical analytical skills.
- Evidence of curiosity and problem-solving through coursework, employment, projects, competitions, hobbies, or self-study.
- 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.

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