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Monte Carlo Simulation Jobs (NOW HIRING)

Luminate Works

Statistician

$70K - $80K/yr

Design and implement Monte Carlo simulations to model probabilistic outcomes * Develop quantitative and statistical models based on defined parameters and assumptions * Validate model accuracy ...

CYNET SYSTEMS

Analog Designer

San Jose, CA · On-site

$80 - $90/hr

Verify circuit robustness using Monte Carlo simulation. * Characterize standard cell libraries for custom PVTS. Experience And Education: * 10+ years of relevant work experience. * Experience with ...

Astrolab

Lead Simulation Engineer

Hawthorne, CA

$142K - $235K/yr

Experience setting up simulations to support Monte Carlo or similar statistical performance analysis Benefits and Perks * Join a team of best-in-class engineers building the foundation of planetary ...

Astrolab

Lead Simulation Engineer

Hawthorne, CA · On-site

Experience setting up simulations to support Monte Carlo or similar statistical performance analysis * Join a team of best-in-class engineers building the foundation of planetary surface exploration

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How much do monte carlo simulation jobs pay per year?

As of Jun 5, 2026, the average yearly pay for 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.

Can Chatgpt run a Monte Carlo simulation?

ChatGPT cannot run Monte Carlo simulations directly as it is a language model and lacks computational capabilities. However, it can assist in designing, explaining, and providing code for Monte Carlo simulations that can be executed in programming environments like Python or R. Skills in programming and familiarity with simulation tools are essential for performing such analyses.

What are the key skills and qualifications needed to thrive in the Monte Carlo Simulation position, and why are they important?

To thrive as a Monte Carlo Simulation specialist, you need strong quantitative skills, a background in mathematics, statistics, or engineering, and experience with probability-based modeling. Expertise with programming tools such as Python, MATLAB, R, or specialized simulation software, along with knowledge of data analysis and modeling techniques, is typically required. Attention to detail, analytical thinking, and effective communication are vital soft skills for interpreting results and presenting findings to stakeholders. These competencies are crucial for creating accurate models, troubleshooting complex problems, and making data-driven recommendations in various industries.

What is a Monte Carlo Simulation job?

A Monte Carlo Simulation job typically involves using statistical techniques to model uncertainty and predict outcomes in various fields such as finance, engineering, and risk analysis. Professionals in this role develop and implement stochastic models to analyze complex systems and optimize decision-making. They often work with programming languages like Python, R, or MATLAB and apply probability theory to simulate real-world scenarios.

What are the typical daily responsibilities for someone working in Monte Carlo Simulation roles?

Professionals in Monte Carlo Simulation roles typically spend their days developing, running, and analyzing computational models to assess risk, forecast outcomes, or optimize processes. Responsibilities often include collaborating with cross-functional teams to define model parameters, preparing and cleaning large datasets, coding simulation algorithms, and interpreting results to guide business or engineering decisions. You may also present findings to non-technical stakeholders and document methodologies for reproducibility. This role offers a dynamic blend of independent technical work and collaborative problem-solving, making it ideal for those who enjoy both analytical tasks and teamwork.

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Monte Carlo Simulation jobs near you

Statistician

Luminate Works

Remote

$70K - $80K/yr

Full-time

Posted 4 days ago

Job description

Statistician (Quantitative Modeling & Simulation)
Location: 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 applies advanced statistical modeling and quantitative analysis to predict outcomes based on defined parameters, ensuring accuracy, reliability, and practical usability within a production environment.
This position works closely with the development team to integrate statistical models into the platform and support data-driven decision-making.
This is a full-time, fully remote role.
Key Responsibilities
  • Design and implement Monte Carlo simulations to model probabilistic outcomes
  • Develop quantitative and statistical models based on defined parameters and assumptions
  • Validate model accuracy through testing, back-testing, and sensitivity analysis
  • Analyze large datasets to refine model inputs and improve predictive reliability
  • Document modeling logic, assumptions, and methodologies clearly
  • Collaborate with software developers to integrate models into the platform
  • Translate complex statistical outputs into clear insights for non-technical stakeholders
  • Monitor model performance and recommend improvements over time
  • Apply best practices in statistical rigor, reproducibility, and data integrity
Qualifications
  • Bachelor's degree in Statistics, Mathematics, Data Science, Quantitative Finance, or a related field (Master's preferred)
  • 4-8 years of experience in statistical modeling, quantitative analysis, or simulation-based work
  • Strong experience with Monte Carlo methods and probabilistic modeling
  • Proficiency in statistical or programming tools such as Python, R, SQL, or similar
  • Experience working with large datasets and computational models
  • Strong analytical thinking and attention to detail
  • Ability to work independently in a remote environment
  • Clear written and verbal communication skills
What We Offer
  • Competitive salary range of $70,000-$80,000
  • Fully remote work environment
  • Opportunity to build and own a high-impact simulation model
  • Collaborative, technically driven team
  • Comprehensive benefits package (details provided during the interview process)
Work Environment
  • Full-time, remote position

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