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Intern Quantitative Modeling Jobs (NOW HIRING)

$4.5K - $5.8K/wk

At Citadel Securities, a leading global market maker, our team of quantitative researchers models ... As an intern, you'll get to challenge the impossible in research through a summer-long program that ...

As a Quantitative Research Intern, you will work side-by-side with our Research Team of ... Using statistical models and machine learning to develop trading algorithms. * Leveraging big data ...

As a Quantitative Research Intern, you will work side-by-side with our Research Team of ... Using statistical models and machine learning to develop trading algorithms. * Leveraging big data ...

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Intern Quantitative Modeling information

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 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 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 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 cities are hiring for Intern Quantitative Modeling jobs? Cities with the most Intern Quantitative Modeling job openings:
What are the most commonly searched types of Quantitative Modeling jobs? The most popular types of Quantitative Modeling jobs are:
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Full-time

Posted 27 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.