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Internship Risk Quant Jobs (NOW HIRING)

Anson McCade

Quantitative Researcher

Manhattan, NY · On-site

$200K/yr

Permanent Quantitative Researcher Junior level (internship - 3 years experience) I am working with ... The firm employs a research-led approach to generate attractive risk-adjusted returns through a ...

Duke University

Quantitative Associate

Durham, NC · On-site

$125K - $140K/yr

The Data Science & Risk team serves as a central quantitative hub, partnering with all investment ... Prior internship or project experience in finance, asset management, or a related quantitative ...

Duke University

Quantitative Associate

Durham, NC

$125K - $140K/yr

The Data Science & Risk team serves as a central quantitative hub, partnering with all investment ... Prior internship or project experience in finance, asset management, or a related quantitative ...

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Internship Risk Quant information

What are the key skills and qualifications needed to thrive as an Internship Risk Quant, and why are they important?

To thrive as an Internship Risk Quant, you typically need strong quantitative skills, a solid background in mathematics, statistics, or finance, and progress towards a relevant degree such as in quantitative finance or a related field. Familiarity with programming languages like Python, R, or MATLAB, as well as experience with risk management systems and financial modeling tools, is highly valued. Attention to detail, analytical thinking, and effective communication skills help interns collaborate and present complex findings clearly. These capabilities are critical for analyzing risk data accurately and supporting decision-making in dynamic finance environments.

What are Internship Risk Quants?

Internship Risk Quants are students or recent graduates who take on temporary roles within financial institutions to assist with quantitative analysis related to risk management. Their main responsibilities include analyzing financial data, developing risk models, and helping identify potential risks for the company. These internships provide hands-on experience with statistical tools, programming, and risk assessment in real-world finance environments. The goal is to prepare interns for full-time quantitative risk analyst roles after graduation.

What is the difference between Internship Risk Quant vs Risk Analyst?

AspectInternship Risk QuantRisk Analyst
Required CredentialsTypically pursuing or recent graduate, some quantitative courseworkBachelor's or master's in finance, economics, or related field; certifications like FRM or CFA often preferred
Work EnvironmentInternship setting, often in financial institutions or asset management firmsFull-time role in banks, hedge funds, or investment firms
Industry UsageCommonly used for entry-level or internship positions in risk managementEstablished role for ongoing risk assessment and management

The main difference is that an Internship Risk Quant is an entry-level, temporary position aimed at gaining experience, while a Risk Analyst is a full-time professional role responsible for ongoing risk evaluation within financial organizations.

What types of projects do Risk Quant interns typically work on, and how do these projects contribute to the overall risk management strategy of the firm?

Risk Quant interns often work on projects involving data analysis, model validation, and the development of risk assessment tools under the guidance of senior quants. These projects may include tasks such as back-testing risk models, analyzing large datasets to identify potential risk exposures, and automating reporting processes. By contributing to these initiatives, interns help improve the firm's ability to measure and manage financial risks, gaining practical experience with real-world quantitative finance tools and methodologies. Collaboration with teams like trading, risk management, and IT is common, offering interns broad exposure to how quantitative analysis supports strategic decision-making in the organization.
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Internship Risk Quant jobs near you

New Grad Full-Time Quantitative Developer

WallStreetQuants

New York, NY • On-site

Full-time

Posted 10 days ago

Job description

About the Role

An NYC based proprietary trading firm is seeking a motivated and intellectually curious New Grad Quantitative Developer to join the team full time. This role is designed for recent graduates from all degree backgrounds who have strong programming skills, analytical ability, and an interest in building technology for financial markets.

As a Quantitative Developer, you will work at the intersection of software engineering, quantitative research, and trading. You will help design, build, and improve the systems, tools, and infrastructure that support data analysis, trading strategies, risk management, and real-time decision-making.

This is an excellent opportunity for a new graduate who enjoys solving complex problems, writing high-quality code, learning quickly, and working in a fast-paced, collaborative environment.

Requirements

Responsibilities
  • Design, develop, test, and maintain software tools used by traders, researchers, and engineers.
  • Build systems for market data processing, strategy research, simulation, backtesting, and trade execution.
  • Work with large datasets to support quantitative analysis and trading decisions.
  • Collaborate with quantitative researchers and traders to translate ideas into reliable production systems.
  • Improve the performance, scalability, reliability, and usability of internal platforms.
  • Develop dashboards, analytics tools, APIs, and automation workflows.
  • Debug and optimize code used in research and trading environments.
  • Learn about financial markets, trading workflows, market data, and risk management.
  • Contribute to code reviews, technical design discussions, and engineering best practices.
Qualifications
  • Recent graduate or upcoming graduate from a Bachelor's, Master's, PhD, or equivalent program.
  • Open to candidates from all degree disciplines.
  • Strong programming ability in at least one language such as Python, C++, Java, C#, Go, Rust, or JavaScript/TypeScript.
  • Solid problem-solving, analytical, and logical reasoning skills.
  • Ability to learn new technologies, tools, and financial concepts quickly.
  • Strong attention to detail and commitment to writing clean, reliable, and maintainable code.
  • Effective communication skills and the ability to work well in a collaborative team environment.
  • Interest in financial markets, quantitative systems, trading technology, or data-driven decision-making.
Preferred Qualifications
  • Experience with algorithms, data structures, systems programming, databases, distributed systems, or cloud infrastructure.
  • Coursework, projects, internships, or independent work involving software engineering, data science, machine learning, statistics, simulations, or quantitative analysis.
  • Familiarity with Linux, Git, SQL, APIs, or real-time systems.
  • Experience working with large datasets, time-series data, or performance-sensitive applications.
  • Participation in programming competitions, hackathons, open-source projects, research projects, or technical clubs.
  • Exposure to financial instruments, trading systems, market data, or risk analytics is helpful but not required.

Benefits

What We Offer
  • Full-time role designed for new graduates.
  • Training and mentorship from experienced engineers, traders, and quantitative researchers.
  • Opportunity to work on impactful systems used in real-time trading and research.
  • Exposure to financial markets, quantitative strategy development, and trading infrastructure.
  • A collaborative, intellectually rigorous environment where strong ideas are valued.
  • Early ownership of meaningful technical projects.
  • Competitive compensation and benefits.

Apply