2

Remote Quant Internships Jobs (NOW HIRING)

Through this internship, you will gain valuable experience doing research and data analysis in a ... Collect, analyze, and interpret qualitative and quantitative data from external and internal ...

... quantitative and verbal disciplines. MBA candidates are encouraged to apply. * Strong Analytical ... Remote work options for certain positions * Potential to earn up to $950 in wellness incentives

You have strong math/quantitative skills and excellent attention to detail. * You are curious about ... Experience collaborating in remote or hybrid teams (Slack, Zoom, project management boards ...

You have strong math/quantitative skills and excellent attention to detail. * You are curious about ... Experience collaborating in remote or hybrid teams (Slack, Zoom, project management boards ...

You have strong math/quantitative skills and excellent attention to detail. * You are curious about ... Experience collaborating in remote or hybrid teams (Slack, Zoom, project management boards ...

next page

Showing results 1-20

Remote Quant Internships information

See salary details

$98K

$169.7K

$259.5K

How much do remote quant internships jobs pay per year?

As of Jun 7, 2026, the average yearly pay for remote quant internships in the United States is $169,729.00, according to ZipRecruiter salary data. Most workers in this role earn between $134,500.00 and $199,000.00 per year, depending on experience, location, and employer.

What are some common challenges faced during remote quant internships, and how can interns overcome them?

Remote quant internships often present unique challenges, such as limited in-person mentorship, potential miscommunication with team members, and difficulties accessing proprietary tools or datasets remotely. To overcome these, interns should proactively schedule regular check-ins with mentors, utilize collaboration platforms effectively, and clarify project expectations early on. Building a clear routine, seeking feedback frequently, and participating in virtual team meetings can also help interns stay engaged and make the most of the remote experience.

What is the difference between Remote Quant Internships vs Remote Data Analyst Internships?

AspectRemote Quant InternshipsRemote Data Analyst Internships
Required skillsMathematics, programming (Python, R), statistical analysisData analysis, Excel, SQL, visualization tools
Work environmentFinancial firms, hedge funds, investment banksCorporations, consulting firms, tech companies
Industry usageFinance, trading, quantitative researchBusiness intelligence, marketing, operations

Remote Quant Internships focus on quantitative analysis, mathematical modeling, and programming skills used in finance and trading. Remote Data Analyst Internships emphasize data interpretation, visualization, and reporting across various industries. While both roles involve data handling, quant internships are more specialized in financial modeling and algorithms, whereas data analyst roles are broader in business applications.

What are remote quant internships?

Remote quant internships are temporary, project-based positions that allow students or recent graduates to work with quantitative finance teams from a remote location, typically online. Interns in these roles use mathematical models, statistical analysis, and programming to solve financial or data-driven problems for banks, hedge funds, or tech companies. The remote format allows participants to gain valuable industry experience and mentorship without needing to relocate, offering flexibility and access to global opportunities. These internships often require strong skills in mathematics, programming (such as Python or R), and sometimes previous coursework or experience in finance or data science.

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

To thrive as a Remote Quant Intern, you need strong quantitative and analytical abilities, proficiency in mathematics, statistics, and programming, and usually enrollment in or completion of a relevant degree such as mathematics, finance, or computer science. Familiarity with programming languages like Python, R, or C++, as well as tools such as MATLAB and statistical modeling software, is typically required. Excellent communication, self-motivation, and problem-solving skills enable you to collaborate virtually and tackle complex challenges independently. These skills ensure you can contribute valuable insights, work effectively in a remote setting, and meet the technical demands of quantitative finance or research projects.
More about Remote Quant Internships jobs
What cities are hiring for Remote Quant Internships jobs? Cities with the most Remote Quant Internships job openings:
What are the most commonly searched types of Quant Internships jobs? The most popular types of Quant Internships jobs are:
What states have the most Remote Quant Internships jobs? States with the most job openings for Remote Quant Internships jobs include:
Infographic showing various Remote Quant Internships job openings in the United States as of May 2026, with employment types broken down into 99% Full Time, and 1% Part Time. Highlights an 83% Physical, 7% Hybrid, and 10% Remote job distribution, with an average salary of $169,729 per year, or $81.6 per hour.
Quantitative Developer - C++ Infrastructure for Quant Analytics

Quantitative Developer - C++ Infrastructure for Quant Analytics

Bloomberg

Manhattan, NY โ€ข On-site, Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

This job post hasย expired 1 day ago.ย Applications are no longer accepted.


Job description

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.


Bloomberg logo

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