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Quantitative Internship Jobs (NOW HIRING)

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 ...

Point72

Quantitative Developer Intern

New York, NY

$21 - $27.50/hr

Our interns will work closely with our team, receive comprehensive, in-depth training, and help ... Enhancing quantitative research platforms by benchmarking and integrating in-house and cloud ...

Point72

Quantitative Developer Intern

New York, NY · On-site

$21 - $27.50/hr

Our interns will work closely with our team, receive comprehensive, in-depth training, and help ... Enhancing quantitative research platforms by benchmarking and integrating in-house and cloud ...

Point72

Quantitative Researcher Intern

New York, NY · On-site

$120K - $180K/yr

Our interns will work closely with our team, receive comprehensive, in-depth training, and help ... Strong analytical and quantitative skills, and detail-oriented mindset. * Proficient in Python or C ...

Point72

Quantitative Researcher Intern

New York, NY

$120K - $180K/yr

Our interns will work closely with our team, receive comprehensive, in-depth training, and help ... Strong analytical and quantitative skills, and detail-oriented mindset. * Proficient in Python or C ...

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How much do quantitative internship jobs pay per hour?

As of May 31, 2026, the average hourly pay for quantitative internship in the United States is $40.86, according to ZipRecruiter salary data. Most workers in this role earn between $16.11 and $62.02 per hour, depending on experience, location, and employer.

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

To thrive as a Quantitative Intern, you need strong mathematical, statistical, and analytical skills, typically supported by coursework in quantitative fields such as mathematics, statistics, physics, computer science, or finance. Familiarity with programming languages like Python, R, or MATLAB, and experience using data analysis tools and statistical software are commonly required. Exceptional problem-solving abilities, attention to detail, and effective communication skills help set candidates apart. These competencies are crucial for accurately analyzing data, developing models, and effectively communicating insights in fast-paced, data-driven environments.

What kinds of projects do quantitative interns typically work on during their internship?

Quantitative interns often work on real-world data analysis, model development, and research projects that directly support the team’s trading, risk, or research objectives. These projects may involve developing statistical models, backtesting trading strategies, or automating data pipelines under the guidance of senior quants. Interns are usually paired with mentors and collaborate closely with both fellow interns and full-time analysts, providing opportunities to learn from experienced professionals and contribute meaningfully to the team's goals.

What is a Quantitative Internship?

A Quantitative Internship is a temporary position, often for students or recent graduates, where individuals apply mathematical, statistical, and computational techniques to solve real-world business problems. These internships are common in industries like finance, technology, and consulting, and typically involve tasks such as data analysis, building predictive models, and supporting trading strategies. Quantitative interns gain hands-on experience working with large datasets, programming, and collaborating with teams to drive data-informed decisions. This role is an excellent way to develop practical skills and explore careers in quantitative fields.

What is the difference between Quantitative Internship vs Quantitative Analyst?

AspectQuantitative InternshipQuantitative Analyst
Required CredentialsTypically pursuing or recent graduate in finance, mathematics, or related fieldsBachelor's or master's degree in finance, mathematics, or related fields; often requires some experience
Work EnvironmentInternship programs within financial firms, hedge funds, or investment banksFull-time role in financial institutions, hedge funds, or asset management firms
Employer & Industry UsageUsed as a training position for aspiring analysts in financeProfessional role responsible for developing models and strategies in finance

In summary, a Quantitative Internship is an entry-level, temporary position aimed at gaining experience, while a Quantitative Analyst is a full-time professional role with greater responsibilities in financial modeling and analysis.

More about Quantitative Internship jobs
What cities are hiring for Quantitative Internship jobs? Cities with the most Quantitative Internship job openings:
What are the most commonly searched types of Quantitative jobs? The most popular types of Quantitative jobs are:
What states have the most Quantitative Internship jobs? States with the most job openings for Quantitative Internship jobs include:
What job categories do people searching Quantitative Internship jobs look for? The top searched job categories for Quantitative Internship jobs are:
Quantitative Internship jobs near you
Infographic showing various Quantitative Internship job openings in the United States as of May 2026, with employment types broken down into 83% Full Time, 11% Part Time, 3% Temporary, and 3% Contract. Highlights an 79% Physical, 2% Hybrid, and 19% Remote job distribution, with an average salary of $84,982 per year, or $40.9 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

Posted 7 days ago

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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