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Internship Monte Carlo Simulation Jobs (NOW HIRING)

LTD Global

Risk Manager

Berkeley, CA · On-site

$85 - $90/hr

Build and maintain cost/schedule risk models; run Monte Carlo simulations, sensitivity and scenario analysis; assess contingency adequacy; support rebaselines and funding decisions * Mitigation ...

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How much do internship monte carlo simulation jobs pay per hour?

As of Sep 7, 2026, the average hourly pay for internship monte carlo simulation in the United States is $15.54, according to ZipRecruiter salary data. Most workers in this role earn between $12.50 and $17.55 per hour, depending on experience, location, and employer.

What is an internship Monte Carlo simulation?

An Internship Monte Carlo Simulation is a training or work experience opportunity where interns use Monte Carlo simulation techniques to model, analyze, and solve complex problems involving randomness and uncertainty. Monte Carlo simulations use repeated random sampling to obtain numerical results and are widely used in fields like finance, engineering, science, and data analysis. During such an internship, participants may work on projects involving risk assessment, forecasting, optimization, or statistical analysis, often utilizing programming languages such as Python, R, or MATLAB. This experience helps interns develop practical skills in quantitative modeling, data analysis, and decision-making under uncertainty.

What are some typical projects or tasks an intern working with Monte Carlo simulation might encounter during their internship?

As an intern specializing in Monte Carlo simulation, you can expect to work on projects such as developing and running stochastic models to analyze risk, optimize processes, or predict outcomes in areas like finance, engineering, or operations. Your daily tasks may include writing code (often in Python, R, or MATLAB), analyzing simulation results, and presenting findings to team members. You'll likely collaborate closely with data scientists, analysts, and subject matter experts to refine models and interpret results. This hands-on experience will help you build both technical and communication skills, laying a strong foundation for future roles in quantitative analysis or data science.

What are the key skills and qualifications needed to thrive as an internship Monte Carlo simulation, and why are they important?

To thrive in a Monte Carlo Simulation internship, you need a solid background in probability, statistics, and mathematical modeling, typically supported by coursework in mathematics, engineering, or computer science. Familiarity with programming languages such as Python, MATLAB, or R, and experience with simulation software are highly valued. Strong analytical thinking, attention to detail, and effective communication skills help interns interpret results and collaborate with team members. These competencies are crucial for accurately modeling complex systems, troubleshooting code, and translating findings into actionable insights.

What is the difference between Internship Monte Carlo Simulation vs Internship Data Analysis?

AspectInternship Monte Carlo SimulationInternship Data Analysis
Required SkillsProbability, statistics, programming (Python, R)Statistics, data manipulation, visualization
Work EnvironmentFinancial, insurance, risk modelingBusiness, marketing, research
Industry UsageRisk assessment, quantitative modelingData-driven decision making

Internship Monte Carlo Simulation focuses on using probabilistic models to assess risks and uncertainties, often in finance or insurance. In contrast, Internship Data Analysis involves interpreting data sets to inform business decisions. Both roles require strong statistical skills but differ in application and industry focus.

Is an internship Monte Carlo Simulation worth it?

An internship in Monte Carlo Simulation provides practical experience with stochastic modeling, risk analysis, and simulation tools like MATLAB or Python. It can enhance technical skills, improve employability, and offer industry networking opportunities, making it valuable for those pursuing careers in finance, engineering, or data science.
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Internship Monte Carlo Simulation jobs near you
Infographic showing various Internship Monte Carlo Simulation job openings in the United States as of August 2026, with employment types broken down into 12% Internship, 58% Full Time, 27% Part Time, 1% Temporary, and 2% Contract. Highlights an 85% Physical, 2% Hybrid, and 13% Remote job distribution, with an average salary of $32,333 per year, or $15.5 per hour.

Risk Manager

LTD Global

Berkeley, CA • On-site

$85 - $90/hr

Contractor

Posted 26 days ago

Job description

Senior Project Risk Manager
We're seeking an experienced Senior Project Risk Manager to lead the risk-management program for a large-scale, technically complex capital construction/upgrade project. This person will serve as the principal advisor on risk, delivering independent assessments of threats and opportunities affecting scope, cost, schedule, technical performance, and milestones - combining program leadership, quantitative analysis, mitigation oversight, and executive reporting.
Key Responsibilities
  • Program Leadership: Maintain the Risk Management Plan, taxonomy, and governance cadence; facilitate the Risk Management Board; maintain the risk register
  • Risk Identification: Run risk workshops and reviews across technical, procurement, staffing, and commissioning areas; develop well-supported risk statements; spot cross-cutting and compounding risks
  • Quantitative Analysis: Build and maintain cost/schedule risk models; run Monte Carlo simulations, sensitivity and scenario analysis; assess contingency adequacy; support rebaselines and funding decisions
  • Mitigation Management: Help owners build measurable mitigation plans; track commitments and escalate stalled or ineffective actions
  • Forward-Looking Analysis: Assess critical-path risk, vendor/staffing/funding exposure, and external dependencies
  • Reporting: Deliver monthly reports and executive briefings; maintain auditable risk records
  • Training: Develop risk-management training and quality standards; benchmark against industry practices

Required Qualifications
  • Bachelor's degree (engineering, construction/project management, business, economics, math, statistics, or related) + 8+ years in project risk management, controls, estimating, scheduling, or complex capital projects
  • Experience leading risk management on a large, technically complex capital/infrastructure/scientific/aerospace program
  • Experience with risk registers, workshops, senior-level reviews, and mitigation tracking
  • Experience with Monte Carlo simulation, uncertainty/sensitivity analysis, and contingency confidence assessment
  • Experience integrating risk data with schedules, cost estimates, EAC, and change control
  • Strong analytical, communication, and cross-functional collaboration skills

Preferred Qualifications
  • DOE Order 413.3B or similar federally governed project experience; familiarity with DOE Guide 413.3-7A
  • Safran Risk Manager, Primavera P6, EVMS experience
  • Experience with rebaselines, recovery plans, or independent cost estimates
  • Background in accelerator/scientific facilities, industrial construction, aerospace, or defense
  • PMI-RMP, PMP, AACE certification, or advanced degree

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