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Quant Analyst Internship Jobs (NOW HIRING)

OPTWISE CONSULTING LLC

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Quant Finance Career Coach

New York, NY · Remote

$40 - $50/hr

Portfolio Analytics Resume & LinkedIn Optimization Guide students in: * Quant-focused resume ... Internship recruiting * Full-time recruiting * Networking strategy * Referral strategy * Recruiting ...

OPTWISE CONSULTING LLC

Be Seen First

Quant Finance Career Coach

New York, NY · Remote

$40 - $50/hr

Portfolio Analytics Resume & LinkedIn Optimization Guide students in: * Quant-focused resume ... Internship recruiting * Full-time recruiting * Networking strategy * Referral strategy * Recruiting ...

T Rowe Price

Investment Analyst

Baltimore, MD · Hybrid

Quantitative or analytical background * Internship experience in related field * Passion for investing * Strong knowledge of fundamental investing, finance, accounting and quantitative analysis

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Quant Analyst Internship information

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$56.5K

$133.9K

$240K

How much do quant analyst internship jobs pay per year?

As of Jul 10, 2026, the average yearly pay for quant analyst internship 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 the difference between Quant Analyst Internship vs Quant Analyst?

AspectQuant Analyst InternshipQuant Analyst
Required CredentialsTypically pursuing or recent graduate with a degree in finance, mathematics, or related fieldBachelor's degree required; advanced degrees like a Master's or PhD preferred
Work EnvironmentInternship programs in financial firms, hedge funds, or asset management companiesFull-time role in similar environments with increased responsibilities
Employer & Industry UsageUsed as a training position for aspiring quantitative analysts in financeProfessional role responsible for developing trading strategies and risk models

The main difference between a Quant Analyst Internship and a Quant Analyst is the level of experience and responsibility. Internships are entry-level positions designed for students or recent graduates to gain industry experience, while a Quant Analyst is a full-time professional role requiring more expertise and offering greater responsibilities in financial modeling and analysis.

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

To thrive as a Quant Analyst Intern, you need strong quantitative skills, proficiency in statistics and mathematics, and working knowledge of programming languages like Python or R, typically supported by coursework in finance, mathematics, or computer science. Familiarity with data analysis tools, financial modeling software, and relevant platforms such as MATLAB or Excel is often required. Analytical thinking, attention to detail, and effective communication are crucial soft skills that help interns interpret complex data and present findings clearly. These skills and qualities are essential for delivering accurate analyses, supporting decision-making, and contributing to high-performing quantitative teams in a fast-paced financial environment.

What is a Quant Analyst Internship?

A Quant Analyst Internship is a temporary position where students or recent graduates work with quantitative analysts, often at financial institutions, to develop and implement mathematical models for trading, risk management, or financial analysis. Interns typically use programming, statistics, and financial theory to solve complex problems and assist with data analysis. This internship provides hands-on experience in quantitative finance, exposure to real-world market data, and opportunities to learn from experienced professionals. It is often a stepping stone to a full-time role as a quantitative analyst.

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

As a Quant Analyst Intern, you can expect to be involved in data-driven projects such as building and backtesting trading models, analyzing large financial datasets, and developing tools for risk management or portfolio optimization. Interns often collaborate with experienced quantitative analysts and traders, gaining exposure to real-world financial markets and advanced statistical techniques. The role typically involves working with programming languages like Python or R, and may require presenting your findings to team members. This hands-on experience provides valuable insight into the workflow of a quantitative finance team and can be a strong foundation for a future full-time role.
More about Quant Analyst Internship jobs
What cities are hiring for Quant Analyst Internship jobs? Cities with the most Quant Analyst Internship 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 Internship jobs? States with the most job openings for Quant Analyst Internship jobs include:
What job categories do people searching Quant Analyst Internship jobs look for? The top searched job categories for Quant Analyst Internship jobs are:
Quant Analyst Internship jobs near you
Infographic showing various Quant Analyst Internship job openings in the United States as of July 2026, with employment types broken down into 1% Locum Tenens, 1% Internship, 86% Full Time, 6% Part Time, 1% Temporary, and 5% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $133,877 per year, or $64.4 per hour.
Quantitative Developer - C++ Infrastructure for Quant Analytics

Quantitative Developer - C++ Infrastructure for Quant Analytics

Bloomberg LP

New York, NY • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 18 days ago

Bloomberg rating

9.4

Company rating: 9.4 out of 10

Based on 8 frontline employees who took The Breakroom Quiz

11th of 205 rated software companies

Job description

Quantitative Developer - C++ Infrastructure for Quant Analytics
Location
New York
Business Area
Product
Ref #
10051690
Description & Requirements
The Quant Analytics department at Bloomberg sits within Enterprise Products and is responsible for modeling market data, pricing, and risk calculations of financial derivatives across all asset classes. Our C++ libraries are used by all Bloomberg products and services, including the Terminal with over 300,000 clients, trading system solutions, enterprise risk management, and derivatives valuation services.
The department includes several Quant teams focused on different asset classes, as well as portfolio-level analytics and model validation. These teams deliver C++ libraries, supported by Python-based validation and testing, that are integrated by the Engineering department into Bloomberg's IT systems.
The Quant Library Architecture (QLA) team offers the opportunity to build experience at the cutting edge of C++ and financial mathematics, engaging with and influencing a wide variety of stakeholders of differing skill sets, to deliver scalable and strategic enterprise pricing and risk solutions. QLA is a small team of C++ experts tasked with helping the Quants be as productive as possible, for the long term. We are seeking a proficient C++ developer, with a strong interest in modern software development life-cycle practices.
We'll trust you to:
  • Support Quants; owning the developer experience for Quants. We build and debug C++ libraries either in VS Code remote containers in Docker, or directly on Unix hosts. Much of the infrastructure is provided by Engineering, but QLA maintain significant additional tooling to provide Quants the most powerful and usable development environment possible.
  • Proactively maintain integration builds and test infrastructure. We run largely automated CI/CD builds with a wide variety of static analysis and other code quality assurance tooling. This affords not just ongoing regression testing, but also early warning of issues that might impair Quants' development environment. Rapid response and ongoing improvements to these systems are a key responsibility.
  • Oversee architecture. Quants own a reasonable number of libraries interfaced into a wide variety of systems. QLA are heavily involved in API design and library architecture to meet Engineering standards whilst optimizing time to delivery, performance, and robustness. We also assess and provision 3rd party software when proven superior.
  • Review code. Assisting Quants with coding best practices and improved solutions both when requested and proactively when appropriate.
  • Once those Keep-The-Lights-On responsibilities are met, continue with project work as prioritized in partnership with Quants. This might be longer term improvements related to the above, development work on infrastructural components (such as the interfacing and orchestration library layers), performance tuning, or deeper engagement with Quant projects.
  • Proactively engage stakeholders from a variety of backgrounds.
  • Understand, document and communicate sometimes quite complex requirements.
  • Context switch between strategic projects and urgent support requests.
  • Clearly and concisely communicate a strategy, adapting communication to suit the audience and their concerns.

You'll need to have:
  • 7+ years of full software development life-cycle experience.
  • Demonstrable proficiency with C++.
  • Experience designing effective APIs.
  • Knowledge of Python or other scripting languages.
  • Knowledge of financial products such as derivatives, interest rates, or equity markets.

We'd love to see:
  • Experience mentoring and coaching other team members.
  • Technical experience in some of CMake, AAD, Linux, Unix (Sun/IBM), Docker, WSL, Python, or OCaml.
  • Knowledge of financial mathematics such as optimization techniques, monte-carlo, etc.
  • A keen interest in developing skills in these areas.

Salary Range = 160,000 - 250,000 USD Annual + Benefits + Bonus
The referenced salary range is based on the Company's good faith belief at the time of posting. Actual compensation may vary based on factors such as geographic location, work experience, market conditions, education/training and skill level.
We offer one of the most comprehensive and generous benefits plans available and offer a range of total rewards that may include merit increases, incentive compensation (exempt roles only), paid holidays, paid time off, medical, dental, vision, short and long term disability benefits, 401(k) +match, life insurance, and various wellness programs, among others. The Company does not provide benefits directly to contingent workers/contractors and interns.
Discover what makes Bloomberg unique - watch our podcast series for an inside look at our culture, values, and the people behind our success.

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About Bloomberg

Sourced by ZipRecruiter

Bloomberg runs on data. As the Data Management & Analytics team within Engineering, we support our organization's needs around managing data efficiently. The vision of the team is to build solutions that drive data quality, data dictionary, data stewardship, data lineage, reference, and master data management across various data domains (prospect, customer, vendor, material etc.). We partner with business teams across the organization in addressing their data needs and ultimately helping run business operations efficiently and make improved decisions.

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

New York, NY, US

Year founded

1981

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