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Remote Monte Carlo Simulation Jobs (NOW HIRING)

Monte Carlo

Applied Forward Deployed Engineer (FDE)

$140K - $180K/yr

Competitive compensation, equity, and a remote-first environment. #LI-REMOTE #BI-REMOTE Come As You Are Equality is a core tenet of Monte Carlo's culture. We are committed to building an inclusive ...

Luminate Works

Statistician

$70K - $80K/yr

Remote / Virtual Salary: $70,000-$80,000 annually Position Overview The Statistician is responsible for designing, developing, and validating a Monte Carlo-based odds simulation model. This role ...

Monte Carlo

Applied Forward Deployed Engineer

Boston, NY · On-site +1

Competitive compensation, equity, and a remote-first environment with ~25% travel for customer engagement. #LI-REMOTE #BI-REMOTE Come As You Are Equality is a core tenet of Monte Carlo's culture. We ...

Pae

GN&C Sr Engineer

Huntsville, AL · On-site +1

$103K - $141K/yr

Configure, conduct, and analyze 6-DoF Monte Carlo simulations. * Automate Monte Carlo, controls ... Must also be able to work collaboratively with other team members both locally and remote at other ...

Redhorse Corporation

Data Scientist

Arlington, VA · On-site +1

... for remote work to be determined by the program manager and customer. Essential Functions ... Generate and maintain a long-range supply forecast utilizing Monte Carlo simulation for assigned ...

Merlin Labs

Enable structured Monte Carlo and multi-scenario validation workflows * Develop infrastructure to simulate sensor inputs and autonomy behaviors in realistic operational contexts * Improve determinism ...

Redhorse Corporation

Data Analyst

Arlington, VA · On-site +1

... for remote work to be determined by the program manager and customer. Essential Functions ... utilizing Monte Carlo simulation for assigned WUCs * participate in user and stakeholder ...

SET Development

GNC Engineer (Contract)

Perform Monte Carlo analysis, covariance analysis, and closed-loop performance validation * Support ... Automate simulation workflows to improve iteration speed and engineering throughput * Document ...

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Remote Monte Carlo Simulation information

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How much do remote monte carlo simulation jobs pay per year?

As of Jun 22, 2026, the average yearly pay for remote monte carlo simulation in the United States is $67,601.00, according to ZipRecruiter salary data. Most workers in this role earn between $44,000.00 and $79,500.00 per year, depending on experience, location, and employer.

What is a Remote Monte Carlo Simulation job?

A Remote Monte Carlo Simulation job involves using probability and statistical models to predict outcomes and assess risks in various scenarios, all while working from a remote location. Professionals in this role typically use specialized software to run large numbers of simulations, analyze data, and help organizations make data-driven decisions. These jobs are common in fields such as finance, engineering, physics, and insurance. Working remotely allows for flexibility and access to global opportunities, as most tasks can be performed using computers and online collaboration tools.

What are the key skills and qualifications needed to thrive as a Remote Monte Carlo Simulation Specialist, and why are they important?

To excel as a Remote Monte Carlo Simulation Specialist, you need a strong background in mathematics, statistics, and computational modeling, often supported by a relevant degree in fields such as engineering, physics, or applied mathematics. Proficiency with programming languages like Python or MATLAB, as well as familiarity with simulation software and tools such as @Risk or Crystal Ball, is typically required. Strong analytical thinking, attention to detail, and effective remote communication are crucial soft skills for this role. These competencies ensure accurate simulation results, facilitate collaboration across distributed teams, and enable effective problem-solving in complex modeling scenarios.

What are some common challenges faced by professionals working in remote Monte Carlo simulation roles, and how can they be addressed?

Professionals in remote Monte Carlo simulation roles often encounter challenges such as coordinating with geographically dispersed teams, ensuring access to high-performance computing resources, and effectively communicating complex results to stakeholders. Overcoming these hurdles typically involves utilizing collaborative platforms for code sharing and documentation, scheduling regular virtual meetings to align project goals, and leveraging cloud-based computing solutions. Building strong communication skills and maintaining clear documentation are essential for remote team success in this field.
More about Remote Monte Carlo Simulation jobs
What cities are hiring for Remote Monte Carlo Simulation jobs? Cities with the most Remote Monte Carlo Simulation job openings:
What are the most commonly searched types of Monte Carlo Simulation jobs? The most popular types of Monte Carlo Simulation jobs are:
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Remote Monte Carlo Simulation jobs near you
Infographic showing various Remote Monte Carlo Simulation job openings in the United States as of June 2026, with employment types broken down into 95% Full Time, 1% Part Time, and 4% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $67,601 per year, or $32.5 per hour.

Senior Quant Developer

Futran Tech Solutions Pvt. Ltd.

Remote

Full-time

Posted 9 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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