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Quantitative Risk Intern Jobs in Manhattan, NY (NOW HIRING)

WallStreetQuants

Quantitative Developer Intern

New York, NY · On-site

$21 - $27.50/hr

As a Quantitative Developer Intern, you will work closely with quantitative researchers, traders ... Exposure to financial markets, market data, order execution, backtesting, or risk systems.

WallStreetQuants

Quantitative Developer Intern

New York, NY · On-site

$21 - $27.50/hr

As a Quantitative Developer Intern, you will work closely with quantitative researchers, traders ... Exposure to financial markets, market data, order execution, backtesting, or risk systems.

WallStreetQuants

Quantitative Trader Intern

New York, NY · On-site

As a Quantitative Trader Intern, you will work alongside experienced traders, researchers, and ... Monitor live markets and help evaluate risk, execution quality, and strategy behavior. * Present ...

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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.
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Infographic showing various Quantitative Risk Intern job openings in Manhattan, NY as of June 2026, with employment types broken down into 44% Full Time, 42% Part Time, 4% Temporary, 9% Contract, and 1% Nights. Highlights an 94% Physical, 3% Hybrid, and 3% Remote job distribution.
Quant Risk Management Intern - Year Round

Quant Risk Management Intern - Year Round

CME Group

Manhattan, NY • On-site

$23.84 - $39.71/hr

Other

Medical

Posted 19 days ago

Job description

Quant Risk Management - Internship - Year Round

CME Group is currently looking for a Quant Risk Management year-round intern.

This candidate will assist the Quant FnO team on day-to-day activities in support of development, analysis, and back-testing of models that safeguard our clearing initiatives. As a intern within the Quant FnO team, you will support the Equity Asset Class by ensuring the integrity of our risk models, validating complex datasets, and assisting in the deployment of next-generation clearing risk solutions.

Principal Accountabilities:

  • Model Validation: Conduct rigorous margin and stress testing model validations to ensure systemic stability.
  • Performance Analysis: Execute daily portfolio back-testing and historical data validation for equity-based products.
  • Production Support: Oversee code release testing and ensure the seamless integration of quant libraries into production environments.
  • Research & Implementation: Independently conduct quantitative research to formulate, implement, and document solutions for complex risk problems.

Skills / Software Requirements:

  • Programming: High proficiency in Python and SQL is essential. Experience with C++/C# is strongly preferred.
  • Risk Modeling: Deep understanding of statistical models in risk management, specifically:
  • Historical and Monte Carlo VaR
  • Multi-Factor Risk Models
  • Stressed VaR & Liquidity Risk models
  • Derivatives Knowledge: Solid foundation in financial markets, advanced derivatives modeling, and volatility surfaces.

Minimum Qualifications:

  • Master’s degree or PhD in Financial Mathematics, Financial Engineering, Computer Science, Physics, or a related quantitative field.
  • Available 40 hours a week

Sponsorship Qualifications:

  • Please note that our company is unable to provide employment sponsorship for this position and can only consider candidates who are legally authorized to work in the United States without sponsorship assistance (CPT, H1B, F1, L etc.).

#EarlyCareers

CME Group is committed to offering a competitive pay package for our employee interns. The pay range typically applicable to our intern roles is $23.84--$39.71. Actual pay offered will be dependent on a wide array of factors including but not limited to: relevant experience, skills, education, location of the internship, and the internship area of focus. Through our benefits program, we offer our employee interns the opportunity to participate in select offerings. This includes our comprehensive health coverage and a mental health benefit.

CME Group: Where Futures are Made

CME Group is the world’s leading derivatives marketplace. But who we are goes deeper than that. Here, you can impact markets worldwide. Transform industries. And build a career by shaping tomorrow. We invest in your success and you own it - all while working alongside a team of leading experts who inspire you in ways big and small. Problem solvers, difference makers, trailblazers. Those are our people. And we’re looking for more.

At CME Group, we embrace our employees' unique experiences and skills to ensure that everyone’s perspectives are acknowledged and valued. As an equal-opportunity employer, we consider all potential employees without regard to any protected characteristic.

Important Notice:

Recruitment fraud is on the rise, with scammers using misleading promises of job offers and interviews to solicit money and personal information from job seekers. CME Group adheres to established procedures designed to maintain trust, confidence and security throughout our recruitment process. Learn more here .

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About CME Group

Sourced by ZipRecruiter

As the world’s leading derivatives marketplace, CME Group is where the world comes to manage risk. We enable clients to trade futures, options, cash and OTC markets, optimize portfolios, and analyze data – empowering market participants worldwide to efficiently manage risk and capture opportunities. CME Group exchanges offer the widest range of global benchmark products across all major asset classes based on interest rates, equity indexes, foreign exchange, energy, agricultural products and metals. We meet uncertainty and volatility with confidence and clarity, across the trading lifecycle and around the world.

Industry

Finance and insurance

Company size

1,001 - 5,000 Employees

Headquarters location

Chicago, IL, US

Year founded

2007

Social media

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