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Quantitative Risk Intern Jobs in Florida (NOW HIRING)

A proprietary trading firm based in Miami is seeking a highly motivated Quantitative Trading Intern ... The work spans quant trading, algorithmic trading, market making, probability, execution, and risk ...

A proprietary trading firm based in Miami is seeking a highly motivated Quantitative Trading Intern ... The work spans quant trading, algorithmic trading, market making, probability, execution, and risk ...

2026 Summer Internship

Miami, FL

$14.25 - $17.25/hr

An intern in this group will be responsible for performing qualitative and quantitative analysis ... Monitors risk factors associated with the properties underlying Rialto's CMBS bond investments.

2026 Summer Internship

Miami, FL ยท On-site

$14.25 - $17.25/hr

An intern in this group will be responsible for performing qualitative and quantitative analysis ... Monitors risk factors associated with the properties underlying Rialto's CMBS bond investments.

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Quantitative Risk Intern information

What are the key skills and qualifications needed to thrive as a Quantitative Risk Intern, and why are they important?

To thrive as a Quantitative Risk Intern, you need strong analytical skills, a solid understanding of statistics and probability, and progress toward a degree in finance, mathematics, or a related field. Familiarity with programming languages like Python or R, experience using statistical software, and knowledge of risk management frameworks are typically expected. Attention to detail, effective communication, and a proactive approach to problem-solving are valuable soft skills in this role. These competencies are crucial for accurately assessing financial risks and supporting data-driven decision-making in a fast-paced environment.

What types of projects or tasks can a Quantitative Risk Intern expect to work on during their internship?

As a Quantitative Risk Intern, you can expect to contribute to projects involving data analysis, financial modeling, and risk assessment for various portfolios or products. Typical tasks include gathering and cleaning large datasets, running statistical analyses, developing or refining risk models under supervision, and preparing reports to communicate findings to senior team members. Interns often collaborate closely with risk analysts, quantitative researchers, and sometimes IT teams, gaining exposure to both technical and business aspects of risk management. This hands-on experience provides valuable insight into industry-standard tools and methodologies, preparing you for a potential full-time role in quantitative finance.

What are Quantitative Risk Interns?

Quantitative Risk Interns are students or recent graduates who assist risk management teams in financial institutions by applying mathematical, statistical, and programming skills to analyze and manage financial risks. They typically work on projects that involve modeling risk exposures, stress testing portfolios, and supporting the development of risk management tools. This role provides hands-on experience with risk assessment processes, financial data analysis, and exposure to industry-standard software and methodologies. Interns also have the opportunity to learn from experienced risk professionals and gain insight into the decision-making processes that help institutions mitigate financial risks.
What are the most commonly searched types of Quantitative Risk jobs in Florida? The most popular types of Quantitative Risk jobs in Florida are:
What cities in Florida are hiring for Quantitative Risk Intern jobs? Cities in Florida with the most Quantitative Risk Intern job openings:

Quantitative Trading Intern

WallStreetQuants

Miami, FL โ€ข On-site

Full-time

Posted 6 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.