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Quant Developer Internship Jobs in New York (NOW HIRING)

Quantitative Developer Intern

New York, NY

$21 - $27.50/hr

We are looking for exceptional students to join us as quantitative developer interns for Winter ... Our interns will work closely with our team, receive comprehensive, in-depth training, and help ...

Quantitative Developer Intern

New York, NY · On-site

$21 - $27.50/hr

We are looking for exceptional students to join us as quantitative developer interns for Winter ... Our interns will work closely with our team, receive comprehensive, in-depth training, and help ...

Showing results 21-40

Quant Developer Internship information

What is a quant developer internship?

A Quant Developer Internship is a temporary position, usually for students or recent graduates, that offers hands-on experience in quantitative finance and software development. Interns work with quantitative analysts and developers to design, implement, and optimize financial models and trading algorithms. The role typically involves programming, data analysis, and collaborating with other teams to solve real-world financial problems. This internship is an excellent opportunity for those interested in combining finance, mathematics, and computer science in a professional setting.

What are the key skills and qualifications needed to thrive as a quant developer intern?

To thrive as a Quant Developer Intern, you need a strong background in mathematics, statistics, and programming, typically demonstrated through a degree in quantitative fields like computer science, mathematics, or engineering. Familiarity with programming languages such as Python, C++, or Java, and experience using financial modeling tools or libraries are highly valued. Analytical thinking, attention to detail, and effective communication are critical soft skills for collaborating with teams and interpreting complex data. These skills and qualities are essential for developing robust quantitative models and contributing effectively to quantitative research and trading strategies.

What are some common challenges faced during a quant developer internship, and how can interns overcome them?

Quant Developer Interns often encounter challenges such as adapting to complex financial models, working with large datasets, and mastering specialized programming languages like Python or C++. To overcome these, interns should proactively seek guidance from senior team members, participate in regular code reviews, and allocate time to strengthen their understanding of both financial concepts and software development best practices. Collaboration and open communication within the team are crucial for navigating technical obstacles and successfully delivering project tasks.

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

AspectQuant Developer InternshipQuant Analyst Internship
Required CredentialsTypically pursuing or holding a degree in Computer Science, Mathematics, or related fieldsUsually pursuing or holding a degree in Finance, Economics, or related fields
Work EnvironmentHands-on coding, software development, and algorithm implementationData analysis, financial modeling, and strategy development
Employer & Industry UsageUsed in hedge funds, investment banks, and trading firms focusing on technology-driven rolesCommon in asset management firms, hedge funds, and financial institutions focusing on market analysis

While both internships involve finance and quantitative skills, Quant Developer Internships focus more on programming and software development, whereas Quant Analyst Internships emphasize financial analysis and modeling. Candidates should choose based on their strengths in coding versus financial analysis.

Is it hard to get a quant developer internship?

Securing a quant developer internship is competitive due to high demand for strong programming skills in languages like Python, C++, and MATLAB, as well as a solid understanding of mathematics and finance. Candidates often need relevant coursework, prior experience, and strong problem-solving abilities to stand out in the application process.

What are the most commonly searched types of Quant Developer jobs in New York?

The most popular types of Quant Developer jobs in New York are:

What cities in New York are hiring for Quant Developer Internship jobs?

Cities in New York with the most Quant Developer Internship job openings:

Quantitative Developer - C++ Infrastructure for Quant Analytics

Bloomberg

Manhattan, NY • On-site

$160 - $250/hr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 6 hours ago


Bloomberg rating

9.4

Company rating: 9.4 out of 10

Based on 11 frontline employees who took The Breakroom Quiz

11th of 245 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++.
  • 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

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.

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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