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Full Time C++ Quant Developer Jobs (NOW HIRING)

iCapital

Quant Engineer - Vice President

New York, NY · On-site

$180K - $210K/yr

Knowledge of JAVA/Scala/C++ is a plus * Distributed Systems experience is a plus * Experience with ... for all full-time employees, and an annual performance bonus. Employees also receive a ...

IMC

Quantitative Developer

New York, NY · On-site

$200K - $225K/yr

Strong production experience in Python and C++, including data analysis workflows (pandas, polars ... Base salary is only one component of total compensation; all full-time, permanent positions are ...

IMC

Quantitative Developer - Python

Chicago, IL · On-site

$200K - $225K/yr

Base salary is only one component of total compensation; all full-time, permanent positions are ... Across our offices in the US, Europe, Asia Pacific, and India, our talented quant researchers ...

Poesis

Quantitative Developer

San Francisco, CA · On-site

$180K - $280K/yr

About the Role We're hiring a Quantitative Developer to help turn research ideas into production ... Prior full-time experience in finance, data science, or ML engineering. * Familiarity with APIs ...

Anson McCade

Equity Vol Strat

Manhattan, NY · On-site

$400K/yr

Expert Python programmer; C# or C++ experience preferred. * Strong knowledge of software ... quantitative or engineering discipline . Location: New York, NY Employment Type: Full-time

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Full Time C Quant Developer information

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$10

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How much do full time c++ quant developer jobs pay per hour?

As of Jul 5, 2026, the average hourly pay for full time c++ quant developer in the United States is $57.79, according to ZipRecruiter salary data. Most workers in this role earn between $47.12 and $63.46 per hour, depending on experience, location, and employer.

What is the difference between Full Time C++ Quant Developer vs Quant Analyst?

AspectFull Time C++ Quant DeveloperQuant Analyst
Required CredentialsDegree in Computer Science, Mathematics, or related; programming skills in C++Degree in Finance, Economics, or Mathematics; strong analytical skills
Work EnvironmentDevelops trading systems, algorithms, and software in a technical settingAnalyzes market data, develops models, and supports trading strategies
Industry UsageCommon in hedge funds, investment banks, proprietary trading firmsWidely used in asset management, hedge funds, and financial institutions

While both roles operate within the finance industry, a Full Time C++ Quant Developer primarily focuses on building and maintaining trading software using C++, whereas a Quant Analyst concentrates on analyzing data and developing models to inform trading decisions. The developer role is more technical and programming-intensive, while the analyst role emphasizes data analysis and financial modeling.

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What states have the most Full Time C++ Quant Developer jobs? States with the most job openings for Full Time C++ Quant Developer jobs include:
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Full Time C Quant Developer jobs near you
Infographic showing various Full Time C++ Quant Developer job openings in the United States as of June 2026, with employment types broken down into 2% Full Time, 86% Part Time, 11% Contract, and 1% Nights. Highlights an 91% Physical, 4% Hybrid, and 5% Remote job distribution, with an average salary of $120,212 per year, or $57.8 per hour.

New Grad Full-Time Quantitative Developer

WallStreetQuants

New York, NY • On-site

Full-time

Posted 8 days ago

Job description

About the Role
An NYC based proprietary trading firm is seeking a motivated and intellectually curious New Grad Quantitative Developer to join the team full time. This role is designed for recent graduates from all degree backgrounds who have strong programming skills, analytical ability, and an interest in building technology for financial markets.
As a Quantitative Developer, you will work at the intersection of software engineering, quantitative research, and trading. You will help design, build, and improve the systems, tools, and infrastructure that support data analysis, trading strategies, risk management, and real-time decision-making.
This is an excellent opportunity for a new graduate who enjoys solving complex problems, writing high-quality code, learning quickly, and working in a fast-paced, collaborative environment.
Requirements
Responsibilities
  • Design, develop, test, and maintain software tools used by traders, researchers, and engineers.
  • Build systems for market data processing, strategy research, simulation, backtesting, and trade execution.
  • Work with large datasets to support quantitative analysis and trading decisions.
  • Collaborate with quantitative researchers and traders to translate ideas into reliable production systems.
  • Improve the performance, scalability, reliability, and usability of internal platforms.
  • Develop dashboards, analytics tools, APIs, and automation workflows.
  • Debug and optimize code used in research and trading environments.
  • Learn about financial markets, trading workflows, market data, and risk management.
  • Contribute to code reviews, technical design discussions, and engineering best practices.
Qualifications
  • Recent graduate or upcoming graduate from a Bachelor's, Master's, PhD, or equivalent program.
  • Open to candidates from all degree disciplines.
  • Strong programming ability in at least one language such as Python, C++, Java, C#, Go, Rust, or JavaScript/TypeScript.
  • Solid problem-solving, analytical, and logical reasoning skills.
  • Ability to learn new technologies, tools, and financial concepts quickly.
  • Strong attention to detail and commitment to writing clean, reliable, and maintainable code.
  • Effective communication skills and the ability to work well in a collaborative team environment.
  • Interest in financial markets, quantitative systems, trading technology, or data-driven decision-making.
Preferred Qualifications
  • Experience with algorithms, data structures, systems programming, databases, distributed systems, or cloud infrastructure.
  • Coursework, projects, internships, or independent work involving software engineering, data science, machine learning, statistics, simulations, or quantitative analysis.
  • Familiarity with Linux, Git, SQL, APIs, or real-time systems.
  • Experience working with large datasets, time-series data, or performance-sensitive applications.
  • Participation in programming competitions, hackathons, open-source projects, research projects, or technical clubs.
  • Exposure to financial instruments, trading systems, market data, or risk analytics is helpful but not required.

Benefits
What We Offer
  • Full-time role designed for new graduates.
  • Training and mentorship from experienced engineers, traders, and quantitative researchers.
  • Opportunity to work on impactful systems used in real-time trading and research.
  • Exposure to financial markets, quantitative strategy development, and trading infrastructure.
  • A collaborative, intellectually rigorous environment where strong ideas are valued.
  • Early ownership of meaningful technical projects.
  • Competitive compensation and benefits.

Apply