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Internship Quant Finance Jobs (NOW HIRING)

Initio Capital

Quantitative Analyst (Quant)

New York, NY · Remote

$145K - $185K/yr

... Internship, Casual Remote | New York, NY, United States Quantitative Analyst (Quant) - Initio ... This is an ideal opportunity for individuals with a deep understanding of financial mathematics and ...

Quadrature Capital

Internships

New York, NY · On-site

... quantitative finance, so if you don't have experience with markets or our industry don't worry! Please note that programming experience is a must if you are applying to our Quant Developer internship.

London Stock Exchange Group

Quant Analyst

Manhattan, NY

$89.90K - $149.90K/yr

Master's degree in computer science, Mathematics, Quantitative Finance, Physics, Engineering, or a related discipline. * 2+ years of full-time and/or internship/apprenticeship work experience in ...

London Stock Exchange Group

Quant Analyst

New York, NY · On-site

$89.90K - $149.90K/yr

Master's degree in computer science, Mathematics, Quantitative Finance, Physics, Engineering, or a related discipline. * 2+ years of full-time and/or internship/apprenticeship work experience in ...

Initio Capital

Quantitative Analyst

New York, NY · On-site

$145K - $185K/yr

... Internship, Casual Hybrid | New York, NY, United States Quantitative Analyst - Initio Capital ... finance, modeling, and data-driven investment roles. Actual openings vary depending on employer ...

SCM

Quantitative Research Analyst Internship

Radnor, PA · On-site

We're seeking exceptionally motivated students with a strong interest in the financial markets to ... Opportunities, including full-time summer internships and part-time work throughout the school year ...

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How much do internship quant finance jobs pay per hour?

As of May 31, 2026, the average hourly pay for internship quant finance in the United States is $19.86, according to ZipRecruiter salary data. Most workers in this role earn between $17.07 and $22.36 per hour, depending on experience, location, and employer.

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

To thrive as an Internship Quant Finance, you need strong quantitative skills, proficiency in mathematics or statistics, and typically progress toward a degree in a quantitative field such as mathematics, physics, engineering, or finance. Familiarity with programming languages like Python, R, or MATLAB and experience with financial modeling tools are highly valuable. Analytical thinking, attention to detail, and effective communication are important soft skills for presenting findings and collaborating with teams. These skills are essential for analyzing complex financial data, building accurate models, and contributing to data-driven decision-making in fast-paced financial environments.

What can I expect from the collaborative environment during an Internship in Quantitative Finance?

As an intern in Quantitative Finance, you will typically work closely with experienced quantitative analysts, traders, and software engineers. Collaboration is integral, as you'll often contribute to team projects, attend regular meetings, and receive feedback on your models or analyses. You'll have opportunities to learn from diverse experts, and your contributions can influence real trading strategies. This environment encourages asking questions, sharing ideas, and developing both technical and communication skills crucial for a future full-time role.

What is an Internship in Quant Finance?

An Internship in Quant Finance is a temporary position, typically for students or recent graduates, that provides hands-on experience in quantitative finance roles within financial institutions such as banks, hedge funds, or asset management firms. Interns work alongside professionals to apply mathematical models, computer programming, and statistical techniques to analyze financial markets, develop trading strategies, or manage risk. These internships are highly competitive and often serve as a pathway to full-time roles in quantitative analysis or trading. Candidates usually have strong backgrounds in mathematics, statistics, computer science, or engineering. Internships may last from a few weeks to several months and often include both project work and training.

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

AspectInternship Quant FinanceQuant Analyst
Required CredentialsTypically pursuing a degree in finance, mathematics, or related fields; no professional certifications requiredOften holds advanced degrees (Master's or PhD) in quantitative fields; certifications like CFA or CQF are common
Work EnvironmentInternship setting, learning-focused, part-time or summer rolesFull-time professional role in finance firms, hedge funds, or investment banks
Employer & Industry UsageUsed by firms to evaluate potential future employees; entry-level experienceCore role in quantitative trading, risk management, and investment strategies

In summary, Internship Quant Finance is a temporary, learning-focused position for students or early-career individuals, while a Quant Analyst is a full-time professional responsible for developing and implementing quantitative models in finance.

More about Internship Quant Finance jobs
What cities are hiring for Internship Quant Finance jobs? Cities with the most Internship Quant Finance job openings:
What are the most commonly searched types of Quant Finance jobs? The most popular types of Quant Finance jobs are:
What states have the most Internship Quant Finance jobs? States with the most job openings for Internship Quant Finance jobs include:
What job categories do people searching Internship Quant Finance jobs look for? The top searched job categories for Internship Quant Finance jobs are:
Internship Quant Finance jobs near you
Infographic showing various Internship Quant Finance job openings in the United States as of May 2026, with employment types broken down into 50% Internship, and 50% Full Time. Highlights an 100% In-person job distribution, with an average salary of $41,299 per year, or $19.9 per hour.

Quantitative Analyst (Quant)

Initio Capital

New York, NY • Remote

$145K - $185K/yr

Full-time

Posted 9 days ago

Job description

Job Summary

Quantitative Analyst (Quant)

Initio Capital

Full-time, Part-time, Contract, Temporary, Internship, Casual

Remote | New York, NY, United States


Quantitative Analyst (Quant) – Initio Capital

Location: New York, NY
Employment Type: Full-Time
Estimated Compensation: $145,000 – $185,000 total annual compensation (varies by employer)

About This Posting

This job description represents a sample Quantitative Analyst (Quant) position commonly found through the Career Launch AI Talent Network. It is provided to help job seekers understand the responsibilities and qualifications typically associated with early-career quantitative finance roles. Actual openings vary depending on employer needs.

For more information on the Career Launch AI Talent Network, visit: https://initiocapital.com/assessment

Position Overview

Quantitative Analysts (Quant) at Initio Capital will play a critical role in applying advanced mathematical and statistical methods to drive trading and investment strategies. Working closely with portfolio managers, traders, and researchers, you will leverage programming and quantitative modeling skills to provide actionable insights, enhance portfolio performance, and mitigate risk. This is an ideal opportunity for individuals with a deep understanding of financial mathematics and a passion for utilizing cutting-edge tools to optimize trading strategies.

Key Responsibilities

  • Quantitative Modeling: Develop and implement quantitative models to optimize trading strategies, risk management, and portfolio construction.

  • Statistical Analysis & Machine Learning: Use advanced statistical methods and machine learning techniques to analyze large datasets and derive insights that drive investment decisions.

  • Backtesting & Strategy Validation: Conduct thorough backtesting of trading strategies, validate models, and measure performance across various market conditions.

  • Programming & Automation: Write efficient code in languages such as Python, R, C++, or Java to develop, maintain, and optimize models, ensuring scalability and robustness.

  • Data Analysis & Forecasting: Use large datasets to identify market trends, correlations, and potential opportunities for alpha generation.

  • Risk Management: Collaborate with the risk management team to quantify and assess risk in the portfolio, applying quantitative techniques to mitigate exposure.

  • Collaborative Efforts: Work closely with cross-functional teams, including portfolio managers, traders, and senior leadership, to align quantitative strategies with business goals.

  • Research & Innovation: Stay ahead of market trends and innovations in quantitative finance, exploring new methodologies and tools to enhance model performance.

  • Reporting: Prepare and communicate clear and concise reports, dashboards, and presentations on model performance, risk analysis, and strategy insights to key stakeholders.

Preferred Qualifications

  • Bachelor’s or Master’s degree in Finance, Mathematics, Statistics, Computer Science, Engineering, or a related field.

  • Strong understanding of quantitative finance, including asset pricing, risk management, and portfolio optimization.

  • Proficiency in programming languages like Python, R, C++, or Java, with experience in machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).

  • Familiarity with financial markets, trading strategies, and financial instruments such as equities, derivatives, and fixed income.

  • Experience with data analysis tools such as Pandas, NumPy, and SQL, with the ability to handle and analyze large datasets.

  • Strong statistical and analytical skills, with a track record of solving complex financial problems using quantitative methods.

  • Experience in financial modeling or quantitative research (preferably in a hedge fund, investment bank, or asset management setting).

  • Knowledge of risk models and their application in portfolio optimization and performance analysis.

  • Ability to communicate complex quantitative concepts clearly and effectively to both technical and non-technical stakeholders.

  • Attention to detail and a passion for continual learning in the quantitative finance space.

  • Interest in financial markets, trading, and algorithmic strategy development.

About the Career Launch AI Talent Network

The Career Launch AI Talent Network provides job seekers with tools and resources to pursue Quantitative Analyst (Quant) opportunities, including:

  • Skills-based role matching

  • Assistance with resume customization

  • General guidance on outreach to hiring teams

  • Interview preparation for quantitative analysis, financial modeling, and risk management assessments

To learn more or express interest in quantitative finance roles, visit: https://initiocapital.com/assessment