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Remote C++ Quant Developer Jobs (NOW HIRING)

... and quant developer positions across the industry. We're looking for a Quant Recruiter to work ... Flexible, remote-first environment with autonomy over how you structure your work. * Real impact ...

C/Unix Developer

Atlanta, GA · Remote

$47 - $63.50/hr

KY / Atlanta, GA (Remote Position) Position Type: Full Time Permanent/ Direct Hire Technical Skills: C/Unix Developer: Languages: C/Unix, SQL, PL/SQL, Pro*C, Unix shell scripting Database: Oracle 11g ...

AI Automation Specialist (REMOTE)

Wakefield, MA · On-site +1

$100K - $130K/yr

C-4 Analytics is committed to developing innovative solutions for every dealer in every market and ... Engineering Mindset: Thinks in systems (inputs/outputs/failure modes), is fluent in APIs and data ...

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Remote C Quant Developer information

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$10

$57

$95

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

As of May 31, 2026, the average hourly pay for remote 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 are the key skills and qualifications needed to thrive as a Remote C++ Quant Developer, and why are they important?

To thrive as a Remote C++ Quant Developer, you need strong proficiency in C++ programming, quantitative analysis, and a solid background in mathematics or finance, often supported by a relevant degree. Expertise with quantitative libraries, version control systems (such as Git), and experience with financial modeling tools or platforms are typically required. Strong problem-solving skills, attention to detail, and effective remote communication are essential soft skills for excelling in this role. These abilities are crucial for developing robust trading algorithms, ensuring code quality, and collaborating efficiently with distributed teams in high-stakes financial environments.

How do Remote C++ Quant Developers typically collaborate with quantitative analysts and other team members despite working remotely?

Remote C++ Quant Developers often work closely with quantitative analysts, traders, and other developers through virtual collaboration tools such as Slack, Zoom, and Jira. Regular stand-up meetings, code reviews, and pair programming sessions help ensure alignment on project goals and technical requirements. Clear documentation and version control practices are essential, as they enable seamless handoffs and troubleshooting across different time zones. This collaborative environment fosters constant communication, making it possible to tackle complex problems and deliver robust quantitative solutions efficiently.

What is a Remote C++ Quant Developer?

A Remote C++ Quant Developer is a software engineer who specializes in quantitative analysis and algorithm development for financial institutions, such as investment banks or hedge funds, while working from a remote location. They use the C++ programming language to build and optimize high-performance trading systems, risk models, and analytics tools. Their work often involves close collaboration with quantitative analysts and traders to implement mathematical models that support financial decision-making. Remote C++ Quant Developers need strong programming skills, a deep understanding of financial mathematics, and the ability to work independently while communicating effectively with a distributed team.

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

AspectRemote C++ Quant DeveloperQuant Analyst
Required CredentialsDegree in Computer Science, Mathematics, or related field; programming skills in C++Degree in Finance, Economics, or Mathematics; strong analytical skills
Work EnvironmentDeveloping and optimizing trading algorithms, coding in C++, often in a tech-driven finance firmAnalyzing market data, developing models, and supporting trading strategies, often in finance or hedge funds
Employer & Industry UsageQuantitative trading firms, hedge funds, investment banksAsset management firms, hedge funds, investment banks

While both roles involve quantitative analysis, the Remote C++ Quant Developer focuses on coding and developing trading systems using C++, whereas the Quant Analyst emphasizes data analysis and model development to inform trading decisions.

More about Remote C Quant Developer jobs
What cities are hiring for Remote C++ Quant Developer jobs? Cities with the most Remote C++ Quant Developer job openings:
What are the most commonly searched types of C++ Quant Developer jobs? The most popular types of C++ Quant Developer jobs are:
What states have the most Remote C++ Quant Developer jobs? States with the most job openings for Remote C++ Quant Developer jobs include:
What job categories do people searching Remote C++ Quant Developer jobs look for? The top searched job categories for Remote C++ Quant Developer jobs are:
Infographic showing various Remote C++ Quant Developer job openings in the United States as of May 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $120,212 per year, or $57.8 per hour.

Full-time

Posted 18 days ago


Job description

Senior Quant Developer
Remote USA
Mandatory skills: Python OR C++, Monte Carlo simulation, quantitative background, derivatives pricing models and risk model back testing experience
Skills:
Minimum degree of Master or PhD in quantitative fields is required, with at least 3-5 years of relevant experience.
The candidate must have strong quantitative and analytical background with a solid theoretical foundation coupled with strong programming, documentation and communications skills.
Must have experience implementing complex market or credit risk quantitative modelling for OTC derivatives using programming languages (such as Python and C++) as well as mathematical/statistical software packages.
Knowledge of derivatives pricing models (Black Scholes, Hull White), Monte Carlo simulation, and risk model back testing experience is also a must.
Nice to have:
The candidate is preferred (a plus) to have experience in credit risk modelling and is familiar with credit risk concepts such as PFE (Potential Future Exposure), CSA, MPOR, collaterals IM and VM, and Monte Carlo simulation of long-time horizons.