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Quantitative Analyst Intern Jobs (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 ... Strong analytical and problem-solving abilities. * Ability to work both independently and ...

Optiver

Quantitative Research Intern PhD

Chicago, IL · On-site

$80K - $90K/yr

As a Quantitative Research Intern, you will work side-by-side with our Research Team of ... Leveraging big data technologies to analyze high-frequency trading strategies, market ...

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Quantitative Analyst Intern information

What is the difference between Quantitative Analyst Intern vs Quantitative Analyst?

AspectQuantitative Analyst InternQuantitative Analyst
Required CredentialsTypically pursuing or recently completed a degree in finance, mathematics, or related fieldsBachelor's degree often required; advanced degrees or certifications like CFA or CQF preferred
Work EnvironmentInternship programs within financial firms, hedge funds, or investment banksFull-time roles in similar environments with more responsibilities
Employer & Industry UsageUsed mainly for training and entry-level positions in finance and investment sectorsFull-fledged professional role in asset management, hedge funds, or investment banks

The main difference between a Quantitative Analyst Intern and a Quantitative Analyst lies in experience, responsibilities, and career stage. Interns are typically students gaining exposure, while analysts are full-time professionals handling complex models and decision-making processes.

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

As a Quantitative Analyst Intern, you'll typically be involved in projects such as building and validating financial models, analyzing large datasets to identify patterns or trends, and assisting in the development of trading strategies. You may also work closely with senior quantitative analysts, traders, and software engineers to implement algorithms or back-test strategies using historical data. The role requires strong collaboration and communication skills, as you'll often present your findings to team members and contribute to ongoing research initiatives.

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

To thrive as a Quantitative Analyst Intern, you need strong analytical abilities, proficiency in mathematics and statistics, and usually progress toward a degree in a quantitative field such as mathematics, finance, or engineering. Familiarity with programming languages like Python or R, experience with data analysis tools, and knowledge of financial modeling are typically required. Attention to detail, problem-solving skills, and effective communication set standout candidates apart. These skills are crucial for analyzing large data sets, developing models, and clearly communicating findings to support informed decision-making in finance.

What are Quantitative Analyst Interns?

Quantitative Analyst Interns, often called 'quant interns,' are students or recent graduates who work temporarily at financial institutions, such as banks, hedge funds, or investment firms, to support quantitative research and analysis. Their main role involves applying mathematical, statistical, and programming skills to analyze financial data, build models, and help make investment decisions. The internship provides hands-on experience in quantitative finance, often involving tasks such as backtesting trading strategies, data cleaning, and assisting with risk assessment. This position is ideal for individuals pursuing careers in quantitative finance, data science, or related fields.
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Quantitative Analyst Intern jobs near you
Infographic showing various Quantitative Analyst Intern job openings in the United States as of June 2026, with employment types broken down into 83% Full Time, 15% Part Time, 1% Temporary, and 1% Contract. Highlights an 95% Physical, 2% Hybrid, and 3% Remote job distribution.

Quantitative Developer Intern

WallStreetQuants

New York, NY • On-site

$21 - $27.50/hr

Internship

Posted 4 days ago

Job description

An NYC based hedge fund is seeking a talented and motivated Quantitative Developer Intern to join their technology and trading team. This internship is ideal for students who enjoy building high-performance systems, solving complex technical problems, and applying software engineering to financial markets.

As a Quantitative Developer Intern, you will work closely with quantitative researchers, traders, and engineers to design, build, and improve tools, platforms, and infrastructure that support trading strategies, research workflows, data analysis, and execution systems

Requirements

Responsibilities
  • Design, develop, and maintain software tools used by traders, researchers, and engineers.
  • Build systems for data processing, strategy research, backtesting, simulation, and performance analysis.
  • Assist in developing trading infrastructure, market data pipelines, and execution tools.
  • Optimize code for speed, reliability, scalability, and maintainability.
  • Work with large datasets and help improve data quality, storage, and retrieval.
  • Collaborate with quantitative researchers to translate models and research ideas into production-ready tools.
  • Debug, test, and document software systems used in live or simulated trading environments.
  • Contribute to automation, monitoring, and workflow improvements across the trading platform.
Qualifications
  • Currently pursuing a Bachelor’s, Master’s, or PhD degree in Computer Science, Engineering, Mathematics, Physics, Statistics, or a related technical field.
  • Strong programming skills in Python, C++, Java, C#, Rust, or another modern programming language.
  • Solid understanding of data structures, algorithms, software design, and debugging.
  • Familiarity with Linux, version control, and command-line development tools.
  • Strong analytical and problem-solving abilities.
  • Ability to work both independently and collaboratively in a fast-paced environment.
  • Interest in financial markets, trading systems, quantitative research, or data-driven decision-making.
Preferred Qualifications
  • Experience with high-performance computing, low-latency systems, distributed systems, or cloud infrastructure.
  • Familiarity with SQL, pandas, NumPy, or other data processing tools.
  • Experience building APIs, internal tools, dashboards, or research platforms.
  • Knowledge of networking, concurrency, memory management, or systems programming.
  • Exposure to financial markets, market data, order execution, backtesting, or risk systems.
  • Previous internship, research, open-source, or project experience involving production-quality software.

Benefits

What You’ll Gain
  • Hands-on experience building software for quantitative trading and research.
  • Exposure to real-world trading infrastructure, market data systems, and analytical tools.
  • Mentorship from experienced quantitative developers, researchers, and traders.
  • The opportunity to work on projects with direct impact on trading and research workflows.
  • Experience developing reliable, scalable, and performance-sensitive systems in a collaborative technical environment.