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Internship Quantitative Analyst Jobs (NOW HIRING)

SCM

Quantitative Research Analyst Internship

Radnor, PA · On-site

Opportunities, including full-time summer internships and part-time work throughout the school year ... Read and analyze academic research or other source material pertaining to anomalies in the global ...

London Stock Exchange Group

Quant Analyst

Manhattan, NY · On-site

$89K - $149K/yr

The analytics software is based on ORE (Open Source Risk Engine, opensourcerisk.org) and QuantLib ... and/or internship/apprenticeship work experience in quantitative development or financial ...

London Stock Exchange Group

Quant Analyst

New York, NY · On-site

$89K - $149K/yr

The analytics software is based on ORE (Open Source Risk Engine, opensourcerisk.org) and QuantLib ... and/or internship/apprenticeship work experience in quantitative development or financial ...

London Stock Exchange Group

Quant Analyst

New York, NY · On-site

$89K - $149K/yr

The analytics software is based on ORE (Open Source Risk Engine, opensourcerisk.org) and QuantLib ... and/or internship/apprenticeship work experience in quantitative development or financial ...

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Internship Quantitative Analyst information

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$56.5K

$133.9K

$240K

How much do internship quantitative analyst jobs pay per year?

As of Jun 12, 2026, the average yearly pay for internship quantitative analyst in the United States is $133,877.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,500.00 and $145,500.00 per year, depending on experience, location, and employer.

What is an Internship Quantitative Analyst?

An Internship Quantitative Analyst is a student or recent graduate who works temporarily at a financial institution, such as a bank or investment firm, to support quantitative research and analysis. Their main responsibilities include analyzing financial data, building statistical models, and assisting senior analysts in making investment decisions. This role provides hands-on experience with data analysis tools, programming languages, and financial modeling techniques. It is designed to help interns develop essential quantitative and analytical skills while gaining insight into how financial markets operate.

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

To thrive as an Internship Quantitative Analyst, you typically need strong analytical skills, proficiency in mathematics or statistics, and enrollment in a relevant degree program such as finance, mathematics, or computer science. Familiarity with programming languages like Python, R, or MATLAB, and experience with statistical modeling tools are often required. Attention to detail, problem-solving abilities, and effective communication make candidates stand out in this role. These skills and qualities are crucial for accurately analyzing data, developing models, and communicating insights that drive informed financial decisions.

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

AspectInternship Quantitative AnalystQuantitative Analyst
CredentialsTypically pursuing or recent graduate, some programming or finance courseworkBachelor's or master's in finance, mathematics, or related field; certifications like CFA are common
Work EnvironmentInternship programs, supervised, learning-focusedFull-time, professional setting, responsible for analysis and model development
Employer & Industry UsageFinancial firms, hedge funds, investment banks during internship periodsSame industries, with ongoing roles after internship

The main difference is that an Internship Quantitative Analyst is a temporary, learning-focused position for students or recent graduates, while a Quantitative Analyst is a full-time professional responsible for developing and implementing complex financial models. Internships serve as a stepping stone toward a full career in quantitative finance.

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

As an Internship Quantitative Analyst, you can expect to work on a variety of data-driven projects such as building and testing financial models, analyzing large datasets to identify trends or anomalies, and assisting in the development of trading strategies. You'll often collaborate closely with senior quants, traders, and software engineers, contributing to both short-term research tasks and longer-term initiatives. This hands-on experience will help you gain practical skills in programming, statistical analysis, and financial theory, while also exposing you to the fast-paced, collaborative environment typical of quantitative finance teams.
More about Internship Quantitative Analyst jobs
What cities are hiring for Internship Quantitative Analyst jobs? Cities with the most Internship Quantitative Analyst job openings:
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Internship Quantitative Analyst jobs near you
Infographic showing various Internship Quantitative Analyst job openings in the United States as of June 2026, with employment types broken down into 93% Full Time, 5% Part Time, 1% Temporary, and 1% Contract. Highlights an 85% Physical, 1% Hybrid, and 14% Remote job distribution, with an average salary of $133,877 per year, or $64.4 per hour.
Quantitative Analyst

Quantitative Analyst

Jewish Family Service of Colorado

New York, NY • Hybrid

Full-time

Posted 25 days ago

Job description

Company Profile
Morgan Stanley is a leading global financial services firm offering investment banking, securities, investment management, and wealth management services. With a global workforce serving corporations, governments, and individuals, the Firm is driven by a strong culture of integrity, excellence, and collaboration. Morgan Stanley provides a supportive environment for professional growth, valuing diverse perspectives and promoting a balanced approach to work and personal life.
Firm Risk Management
Morgan Stanley's Firm Risk Management (FRM) Division is an exciting and rapidly growing space. Firm Risk Management (FRM) Division plays a critical role in supporting the Firm's strategic objectives by identifying, measuring, and managing risk. FRM partners closely with business units across the Firm to promote effective risk adjusted decision making, provide independent risk insights, and safeguard the Firm against potential losses across credit, market, liquidity, operational, model, and other risk types.
Background on the Position
Morgan Stanley is seeking a Risk Quantitative Analyst to join the Firm Risk Management's Risk Analytics Group. Risk Analytics develops quantitative models across market risk, wholesale credit risk, counterparty credit risk, and stress testing to help assess and manage the Firm's risk exposures
This role sits within the Scenario Analytics (SA) team in the Scenario and Credit Stress Analytics (SCSA) department. The SA team is responsible for developing macroeconomic scenarios and forecasts used in firm wide capital planning, budgeting, and loss assessment. The broader SCSA group builds advanced credit stress testing models that support key risk management and regulatory initiatives.
The position offers strong opportunities for professional growth through hands-on modeling work, exposure to large-scale regulatory and internal stress testing exercises, and close collaboration with experienced quantitative professionals. Analysts will build technical expertise in econometric modeling, forecasting, and scenario design, while developing communication and problem-solving skills through cross-functional engagement across the Firm. Qualifications
>Bachelor's degree in a quantitative discipline (e.g., Economics, Finance, Mathematics, Statistics, Engineering, or Computer Science); Master's degree a plus.
>0-3 years of relevant experience in quantitative analytics, risk, model development/validation, stress testing, or a related analytical role (internship experience welcomed).
>Strong quantitative and analytical skills, with the ability to structure problems, validate results, and explain key drivers clearly
>Proficiency in at least one programming language used for analytics (Python preferred); experience with R is a plus.
>Hands on experience using Microsoft Office tools (e.g. Word, PowerPoint, Excel, Outlook and Teams) for documentation, analysis, presentations, and collaboration.
>Familiarity with statistical/econometric techniques (e.g., regression, time series analysis, forecasting); willingness to learn firm specific frameworks and tools.
Desired Qualifications
>Familiarity with Financial products and financial risk management
>Ability to manage multiple priorities in a deadline driven environment, with strong attention to detail and documentation discipline
>Strong written and verbal communication skills, including the ability to summarize technical work for non technical stakeholders
>Collaborative, proactive, and motivated to learn in a team oriented environment.
>Familiarization of working with version control systems (Git)
>Working knowledge of AI tools
Firm Risk Management values diversity and is committed to providing a supportive and inclusive workplace for all employees.
This role is hybrid and currently requires in office attendance 3 days/week. The in-office requirement is subject to change at any time

WHAT YOU CAN EXPECT FROM MORGAN STANLEY:

At Morgan Stanley, we raise, manage and allocate capital for our clients - helping them reach their goals. We do it in a way that's differentiated - and we've done that for 90 years. Our values - putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back - aren't just beliefs, they guide the decisions we make every day to do what's best for our clients, communities and more than 80,000 employees in 1,200 offices across 42 countries. At Morgan Stanley, you'll find an opportunity to work alongside the best and the brightest, in an environment where you are supported and empowered. Our teams are relentless collaborators and creative thinkers, fueled by their diverse backgrounds and experiences. We are proud to support our employees and their families at every point along their work-life journey, offering some of the most attractive and comprehensive employee benefits and perks in the industry. There's also ample opportunity to move about the business for those who show passion and grit in their work.

To learn more about our offices across the globe, please copy and paste https://www.morganstanley.com/about-us/global-offices into your browser.

Expected base pay rates for the role will be between $75,000 and $95,000 year at the commencement of employment.However, base pay if hired will be determined on an individualized basis and is only part of the total compensation package, which, depending on the position, may also include commission earnings, incentive compensation, discretionary bonuses, other short and long-term incentive packages, and other Morgan Stanley sponsored benefit programs.

Morgan Stanley is an equal opportunity employer committed to building and maintaining a workforce that is diverse in experience and background. Our recruiting efforts reflect our strong commitment to a culture of inclusion, where individuals are hired, developed, and advanced based on their skills and talents.

Our workforce reflects a broad cross-section of the global communities in which we operate, bringing a variety of backgrounds, talents, perspectives, and experiences.

For more information, please visit: https://www.morganstanley.com/people-opportunities/eeo.

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