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Quant Developer Remote Jobs (NOW HIRING)

WallStreetQuants

Quant Recruiter

... 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 ...

DataAnnotation

AI-Driven Quant Trader

California, MO · Remote

$60/hr

This fully remote role offers flexibility in scheduling and competitive pay rates up to $60 USD/hour. Ideal candidates have 2+ years of experience in relevant quantitative fields, coding experience ...

Initio Capital

Quantitative Analyst (Quant)

New York, NY · Remote

$145K - $185K/yr

... Remote | New York, NY, United States Quantitative Analyst (Quant) - Initio Capital Location: New ... Programming & Automation: Write efficient code in languages such as Python, R, C++, or Java to ...

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$169K

$210.6K

$240.5K

How much do quant developer remote jobs pay per year?

As of May 29, 2026, the average yearly pay for quant developer remote in the United States is $210,625.00, according to ZipRecruiter salary data. Most workers in this role earn between $187,500.00 and $233,800.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Quant Developer in a remote setting, and why are they important?

To thrive as a Quant Developer remotely, you need strong quantitative analysis, programming expertise (especially in Python, C++, or Java), and a background in mathematics, statistics, or finance, often supported by an advanced degree. Familiarity with financial modeling tools, version control systems like Git, and cloud-based collaboration platforms is essential. Exceptional problem-solving skills, self-motivation, and effective communication are key soft skills for excelling in a distributed team environment. These abilities enable accurate model development, seamless remote collaboration, and timely delivery of complex financial solutions.

What are some typical challenges Quant Developers face when working remotely, and how can they overcome them?

Quant Developers working remotely often encounter challenges such as coordinating with globally distributed teams, maintaining effective communication with traders and researchers, and ensuring secure access to sensitive financial data. Overcoming these challenges involves leveraging collaboration tools, establishing clear communication protocols, and adhering to robust cybersecurity practices. Regular virtual meetings and comprehensive documentation also help maintain alignment and workflow efficiency within the remote quant team.

What are Quant Developers?

Quant Developers, or quantitative developers, are specialized software engineers who design, build, and maintain complex financial models, trading algorithms, and analytical tools for financial institutions. They work closely with quantitative analysts (quants) to implement mathematical models into code, often using programming languages like Python, C++, or Java. When working remotely, Quant Developers collaborate with teams via digital communication tools and are responsible for ensuring code quality and optimizing performance to support trading and risk management strategies.

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

AspectQuant Developer RemoteQuant Analyst Remote
Required CredentialsDegree in Math, Finance, or Computer Science; programming skills (Python, C++, SQL)Degree in Finance, Economics, or Math; strong analytical skills; some programming knowledge
Work EnvironmentCollaborates with developers and traders; coding-focusedAnalyzes data and market trends; supports trading strategies
Employer & Industry UsageFinancial firms, hedge funds, asset managersFinancial institutions, hedge funds, investment firms
Common Search & ComparisonOften compared for technical roles in quant teamsRelated but more analysis-focused

While both roles operate within the finance industry and require quantitative skills, Quant Developer Remote primarily focuses on coding and developing trading algorithms, whereas Quant Analyst Remote emphasizes data analysis and strategy support. Understanding these differences helps candidates target their job search effectively.

More about Quant Developer Remote jobs
What cities are hiring for Quant Developer Remote jobs? Cities with the most Quant Developer Remote job openings:
What are the most commonly searched types of Quant Developer jobs? The most popular types of Quant Developer jobs are:
What states have the most Quant Developer Remote jobs? States with the most job openings for Quant Developer Remote jobs include:
What job categories do people searching Quant Developer Remote jobs look for? The top searched job categories for Quant Developer Remote jobs are:
Quant Developer Remote jobs near you
Infographic showing various Quant Developer Remote job openings in the United States as of May 2026, with employment types broken down into 75% Full Time, 19% Part Time, and 6% Contract. Highlights an 100% Remote job distribution, with an average salary of $210,625 per year, or $101.3 per hour.

Senior Quant Developer

Futran Tech Solutions Pvt. Ltd.

Remote

Full-time

Posted 15 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.

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