ZipRecruiter

Log In

1

Direct Simulation Of Monte Carlo Jobs (NOW HIRING)

next page

Showing results 1-20

All JobsTechnology JobsDirect Simulation Of Monte Carlo Jobs

Direct Simulation Of Monte Carlo information

See salary details

$11K

$67.6K

$121.5K

How much do direct simulation of monte carlo jobs pay per year?

As of Sep 8, 2026, the average yearly pay for direct simulation of monte carlo 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 the difference between Direct Simulation Of Monte Carlo vs Monte Carlo Analyst?

AspectDirect Simulation Of Monte CarloMonte Carlo Analyst
CredentialsTypically requires a degree in mathematics, statistics, or engineeringRequires similar degrees, often with additional certifications in risk analysis or finance
Work EnvironmentOften in research labs, engineering firms, or financial institutionsPrimarily in finance, risk management, or consulting firms
Industry UsageUsed in engineering, finance, and scientific research for simulation modelingUsed mainly in finance and risk assessment for data analysis and modeling

While both roles involve Monte Carlo methods, the Direct Simulation Of Monte Carlo focuses on implementing simulation algorithms directly for complex systems, whereas the Monte Carlo Analyst specializes in analyzing and interpreting simulation data to inform decision-making in finance and risk management.

What is direct simulation of Monte Carlo?

Direct simulation of Monte Carlo is a computational technique used to model complex systems by generating random samples to estimate outcomes. It involves simulating individual events or particles directly to analyze probabilistic behavior, often requiring programming skills and statistical understanding. This method is commonly employed in fields like physics, finance, and engineering to solve problems with uncertainty.
Infographic showing various Direct Simulation Of Monte Carlo job openings in the United States as of September 2026, with employment types broken down into 2% As Needed, 76% Full Time, 15% Part Time, and 7% Contract. Highlights an 91% Physical, 2% Hybrid, and 7% Remote job distribution, with an average salary of $67,601 per year, or $32.5 per hour.

AI System Analyst (AI Monte Carlo)

Houston, TX • On-site

Saransh Inc
IT Services • 51 - 200 employees
Learn more about Saransh Incexternal

Contractor

Re-posted 18 days ago

Job description

Role: AI System Analyst (AI Monte Carlo)
Client address: Houston, TX (Hybrid)
Contract
 
Experience Required: 10-12 years
 
Mandatory skills:
  • AI Monte Carlo
  • Python
     
Key Responsibilities:
  • Solution Architecture: Design and implement advanced Monte Carlo simulation frameworks to solve complex probabilistic problems (e.g., risk assessment, optimization, or predictive forecasting).
  • Client Engagement: Lead discovery sessions with clients to extract and define technical requirements from high-level business goals.
  • Cross-Functional Collaboration: Serve as the primary technical liaison between functional business units and core engineering teams to ensure alignment on deliverables.
  • End-to-End Delivery: Own the full lifecycle of AI development—from algorithmic design and data modeling to deployment and performance tuning.
  • Mentorship & Leadership: Provide technical guidance to junior/mid-level developers while maintaining the self-sufficiency to handle critical individual contributor tasks in agile environments.
Technical Qualifications:
  • Core AI & Math: Expert knowledge of Monte Carlo methods (MCMC, Sequential Monte Carlo, Quasi-Monte Carlo) and their application in AI/ML environments.
  • Programming: Mastery of Python or C++ (high-performance computing experience is a major plus).
  • Infrastructure: Solid understanding of cloud-based AI deployment (AWS, Azure, or GCP) and containerization (Docker/Kubernetes).
  • Strategic Thinking: 10+ years of experience navigating the trade