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Quant Analyst Intern Jobs (NOW HIRING)

Saalex is seeking a Junior Financial Analyst Intern in Washington DC. The ideal candidate will be a ... Strong analytical and quantitative skills with a keen attention to detail * Proficiency in ...

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 ...

Saalex is seeking a Junior Financial Analyst Intern in Washington DC. The ideal candidate will be a ... Strong analytical and quantitative skills with a keen attention to detail * Proficiency in ...

Loyalty Analytics Intern - Global

OR · On-site +1

$17.64 - $22.02/hr

Loyalty Analytics Intern - Global Reports to: Loyalty & Consumer Engagement Strategy Manager ... You'll apply strong quantitative and analytical skills to explore loyalty data, build models ...

$17.64 - $22.02/hr

Loyalty Analytics Intern - Global Reports to: Loyalty & Consumer Engagement Strategy Manager ... You'll apply strong quantitative and analytical skills to explore loyalty data, build models ...

$17.64 - $22.02/hr

Loyalty Analytics Intern - Global Reports to: Loyalty & Consumer Engagement Strategy Manager ... You'll apply strong quantitative and analytical skills to explore loyalty data, build models ...

Loyalty Analytics Intern - Global

New York, NY · On-site +1

$17.64 - $22.02/hr

Loyalty Analytics Intern - Global Reports to: Loyalty & Consumer Engagement Strategy Manager ... You'll apply strong quantitative and analytical skills to explore loyalty data, build models ...

$17.64 - $22.02/hr

Loyalty Analytics Intern - Global Reports to: Loyalty & Consumer Engagement Strategy Manager ... You'll apply strong quantitative and analytical skills to explore loyalty data, build models ...

Loyalty Analytics Intern - Global

California, MD · On-site +1

$17.64 - $22.02/hr

Loyalty Analytics Intern - Global Reports to: Loyalty & Consumer Engagement Strategy Manager ... You'll apply strong quantitative and analytical skills to explore loyalty data, build models ...

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Quant Analyst Intern information

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How much do quant analyst intern jobs pay per hour?

As of May 30, 2026, the average hourly pay for quant analyst intern in the United States is $22.50, according to ZipRecruiter salary data. Most workers in this role earn between $17.31 and $24.52 per hour, depending on experience, location, and employer.

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

AspectQuant Analyst InternQuant Analyst
Required CredentialsTypically pursuing or recent graduate with a degree in finance, mathematics, or related fieldBachelor's degree often required; advanced degrees like Master's or PhD preferred
Work EnvironmentInternship programs, often part-time or summer roles in financial firms or hedge fundsFull-time professional role in investment banks, hedge funds, or asset management firms
Employer & Industry UsageUsed in internship programs across finance and quantitative research firmsCommonly employed as entry-level or experienced roles in finance and quantitative analysis

The main difference between a Quant Analyst Intern and a Quant Analyst lies in experience, responsibilities, and employment status. Interns are typically students gaining exposure, while Quant Analysts are full-time professionals responsible for developing models and strategies. Internships serve as a stepping stone to full-time roles in quantitative finance.

What cities are hiring for Quant Analyst Intern jobs? Cities with the most Quant Analyst Intern job openings:
What are the most commonly searched types of Quant Analyst jobs? The most popular types of Quant Analyst jobs are:
What states have the most Quant Analyst Intern jobs? States with the most job openings for Quant Analyst Intern jobs include:

Ph.D. Graduate Intern Quantitative Portfolio Risk Analytics

Risk Analytics Company

Cambridge, MA

Full-time

Posted 22 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)