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Quant Developer Remote 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 ...

Quant Researcher, OEX

$100K - $230K/yr

Master or PhD in a quantitative discipline (e.g., math, physics, statistics, engineering, computer ... Flexi-work hour and hybrid or remote set-up Aspire career alternatives through us - our internal ...

Quantitative Researcher

$150K - $200K/yr

S. Remote *Telecommuting permitted: work may be performed in any location in the U.S. DUTIES ... Master's degree (US or Foreign Equivalent) in Financial Engineering or a related field and two (2) ...

Master or PhD in a quantitative discipline (e.g., math, physics, statistics, engineering, computer ... Flexi-work hour and hybrid or remote set-up Aspire career alternatives through us - our internal ...

This is a remote-friendly opportunity that can sit in NYC (where our headquarters are located) or ... We collaborate closely with engineering partners, who own technical architecture, infrastructure ...

This is a remote-friendly opportunity that can sit in NYC (where our headquarters are located) or ... We collaborate closely with engineering partners, who own technical architecture, infrastructure ...

This is a remote-friendly opportunity that can sit in NYC (where our headquarters are located) or ... We collaborate closely with engineering partners, who own technical architecture, infrastructure ...

Quant Trader (VP)

$300K - $450K/yr

We combine statistical market analysis, strategy research, and strong engineering discipline to ... Flexi-work hour and hybrid or remote set-up Aspire career alternatives through us - our internal ...

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Quant Developer Remote information

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$169K

$210.6K

$240.5K

How much do quant developer remote jobs pay per year?

As of Jun 19, 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 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 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 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.

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.
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Full-time

Posted 6 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.