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Quantitative Analyst Intern Jobs (NOW HIRING)

Loopback LLC

RWD Data Analyst Intern

Dallas, TX · On-site +1

Role Summary Loopback Health is hiring an innovative and team-oriented RWD Data Analyst intern who ... Bachelor's degree (completed or working towards) in a quantitative or life sciences field (e.g ...

Lucid Motors

As a Data Analyst Intern within our Customer Experience team, you will help turn customer and ... quantitative or analytical study * Looking for an internship where you can apply your academic ...

Copart, Inc.

Strategic Analyst Intern

Dallas, TX · On-site

Utilize quantitative analysis of large amounts of data surrounding financial, operational, and sales performance to make strategic or tactical recommendations * Support sales efforts by providing ...

Servier

Policy & Impact Quantification Intern

OR · On-site +1

$34/hr

Strong foundation in quantitative analysis and data modeling. Travel and Location * No travel ... An intern's pay will be based on several factors including, but not limited to, relevant education ...

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 ...

Duracell

F&A - Intern

Beverly, NJ · Hybrid

$17.25 - $22.50/hr

About the role We are looking for a Junior Financial Analyst Intern to join our team in Barcelona ... Assisting in quantitative and qualitative business research. * Providing analytical support to ...

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Quantitative Analyst Intern information

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How much do quantitative analyst intern jobs pay per hour?

As of Jun 12, 2026, the average hourly pay for quantitative analyst intern in the United States is $39.43, according to ZipRecruiter salary data. Most workers in this role earn between $17.55 and $57.69 per hour, depending on experience, location, and employer.

How much do quant interns get paid?

Quantitative analyst interns typically earn between $20 and $40 per hour, with annual stipends ranging from $30,000 to $70,000 depending on the firm, location, and level of experience. Compensation often includes exposure to programming languages like Python or R and may vary based on the internship's duration and company size.

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 does a quant intern do?

A quantitative analyst intern supports the development and implementation of mathematical models to analyze financial data and inform investment decisions. They often work with programming languages like Python or R, perform data analysis, and assist in risk management tasks under the supervision of senior analysts. The role typically requires strong analytical skills and knowledge of finance and statistics.

Is $30 an hour good for an intern?

For a Quantitative Analyst Intern, $30 an hour is generally considered a competitive rate, especially in finance or data analysis fields where internships often pay between $15 and $30 per hour. The adequacy of this rate depends on the location, industry standards, and the intern's skill level, but it is above average for many internship positions in related fields.

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.

Do JP Morgan hire quants?

JP Morgan hires quantitative analysts, often called quants, for roles in risk management, trading, and financial modeling. These positions typically require strong skills in mathematics, programming, and data analysis, and may involve using tools like Python, R, or MATLAB. Internships and full-time roles are available for candidates with relevant academic backgrounds and technical expertise.

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

Ph.D. Graduate Intern Quantitative Portfolio Risk Analytics

Risk Analytics Company

Cambridge, MA

Full-time

Posted 5 days ago

Job description

Ph.D. Graduate Intern Quantitative Portfolio Risk Analytics (Cross-Disciplinary)

Position Overview
We are seeking an exceptional Ph.D. graduate student to join our team as a Quantitative Portfolio Risk Analytics Intern. This role focuses on developing and applying advanced analytical methods to understand portfolio risk, market structure, and complex financial systems.
We are intentionally recruiting from cross-disciplinary, research-driven backgrounds. Doctoral candidates from fields such as physics, astrophysics, math, applied mathematics, statistics, engineering, economics, computer science, quantum computing, biotech, and other data-intensive sciences are strongly encouraged to applyespecially those interested in translating rigorous quantitative methods into real-world financial applications.
Key Responsibilities
  • Develop and enhance quantitative models for portfolio risk, including factor-based and statistical approaches
  • Analyze large, high-dimensional financial datasets to uncover structure, dependencies, and sources of risk
  • Design and implement analytical tools and pipelines using Python and SQL
  • Contribute to model validation, backtesting, and performance evaluation
  • Collaborate with risk, engineering, and data teams to improve model scalability and data infrastructure
  • Communicate complex quantitative insights through clear visualizations and technical summaries
  • Apply advanced methodologies from your discipline (e.g., stochastic modeling, optimization, machine learning, or geometric/topological approaches) to improve risk analytics
Required Qualifications
  • Currently enrolled in a graduate Ph.D. program in a highly quantitative field (e.g., Math, Applied Mathematics, Physics, Astrophysics, Statistics, Computer Science, Engineering, Financial Engineering, Economics, Biotech or other data-driven disciplines)
  • Strong foundation in probability, statistics, and numerical methods
  • Proficiency in Python (NumPy, pandas, or similar) and/or SQL
  • Experience working with large datasets and implementing quantitative models
  • Ability to think rigorously about complex systems and translate theory into practical solutions
Preferred Qualifications
  • Familiarity with quantitative finance concepts (e.g., portfolio theory, factor models, volatility modeling, Value-at-Risk)
  • Experience with scientific computing, optimization, or machine learning
  • Background or research in cross-disciplinary areas such as:
    • Statistical physics, complex systems, or network theory
    • Applied or computational mathematics
    • Machine learning or probabilistic modeling
    • Quantum computing or advanced optimization techniques
    • Topological data analysis or geometric data methods
  • Prior research, publications, or project work demonstrating advanced quantitative modeling
What Youll Gain
  • Exposure to real-world portfolio risk problems at the intersection of finance and advanced analytics
  • Opportunity to apply cutting-edge academic methods in a production environment
  • Collaboration with a highly quantitative, cross-disciplinary team
  • Experience working with large-scale financial data and modern analytics infrastructure
  • Mentorship and potential pathway to full-time quantitative roles
Duration & Compensation
  • Internship: Summer 2026, with potential to extend
  • Paid internship (competitive, based on experience and location)