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Internship Monte Carlo Simulation Jobs (NOW HIRING)

Peraton

Risk Analysis Engineer

Basking Ridge, NJ

$86K - $138K/yr

Implement Monte Carlo simulation engines for schedule risk analysis (SRA) and cost risk analysis * Design risk scoring models that combine traditional likelihood/impact matrices with NLP-detected ...

Peraton

Risk Analysis Engineer

Basking Ridge, NJ · On-site

$86K - $138K/yr

Implement Monte Carlo simulation engines for schedule risk analysis (SRA) and cost risk analysis * Design risk scoring models that combine traditional likelihood/impact matrices with NLP-detected ...

Peraton

Risk Analysis Engineer

Annapolis Junction, MD

$86K - $138K/yr

Implement Monte Carlo simulation engines for schedule risk analysis (SRA) and cost risk analysis * Design risk scoring models that combine traditional likelihood/impact matrices with NLP-detected ...

Peraton

Risk Analysis Engineer

Annapolis Junction, MD

$86K - $138K/yr

Implement Monte Carlo simulation engines for schedule risk analysis (SRA) and cost risk analysis * Design risk scoring models that combine traditional likelihood/impact matrices with NLP-detected ...

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 design algorithms, and/or regression processes * Conduct trades studies and/or sensitivity analyses ...

Amentum

GN&C Sr Engineer

Huntsville, AL · On-site

$103K - $141K/yr

Configure, conduct, and analyze 6-DoF Monte Carlo simulations. * Automate Monte Carlo, controls design algorithms, and/or regression processes * Conduct trades studies and/or sensitivity analyses ...

Lux Aeterna

GNC Engineer

Denver, CO · On-site

Design and evolve high-fidelity Monte Carlo simulation for end-to-end mission validation * Reduce ground test data and flight telemetry to close the loop on performance * Participate directly in ...

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 ...

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Internship Monte Carlo Simulation information

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

As of Jun 9, 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 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 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 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.

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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 May 2026, with employment types broken down into 50% Full Time, 25% Temporary, and 25% Contract. Highlights an 100% In-person job distribution, with an average salary of $32,333 per year, or $15.5 per hour.
Risk Analysis Engineer

Risk Analysis Engineer

Peraton

Basking Ridge, NJ

$86K - $138K/yr

Full-time

Posted 22 days ago

Peraton rating

8.3

Company rating: 8.3 out of 10

Based on 52 frontline employees who took The Breakroom Quiz

37th of 203 rated it services

Job description

Responsibilities

Peraton Labs is seeking a Risk Analysis Engineer to develop automated risk analysis capabilities including risk register management, risk identification from unstructured sources, Monte Carlo simulation, and cross-portfolio risk cascade modeling. Enables program offices to move from reactive risk management to proactive, data-driven risk intelligence.

Key Responsibilities

  • Build risk register management capabilities: creation, tracking, scoring, mitigation planning, and closure workflows
  • Develop automated risk identification from unstructured sources (meeting notes, emails, briefings) using NLP-extracted signals
  • Implement Monte Carlo simulation engines for schedule risk analysis (SRA) and cost risk analysis
  • Design risk scoring models that combine traditional likelihood/impact matrices with NLP-detected risk signals
  • Build risk interconnection mapping that models how risks cascade across programs within a portfolio
  • Develop risk trend analysis and burn-down tracking
  • Implement risk reporting and visualization data outputs (risk matrices, tornado diagrams, S-curves)
  • Collaborate with PM Domain Analysts to validate risk models against established frameworks

#px2026

Qualifications

Required Qualifications

  • 5+ years of experience with a Bachelor's degree, 3+ years with a Master's degree, or a PhD in Engineering, Mathematics, Statistics, or related field; Master's preferred
  • History of professional software engineering experience with quantitative analysis or risk modeling focus
  • Strong Python proficiency; experience with statistical computing (NumPy, SciPy, pandas)
  • Experience with Monte Carlo simulation and probabilistic modeling
  • Understanding of risk management frameworks and methodologies
  • Experience with data visualization for analytical outputs
  • Strong mathematical and statistical reasoning skills
  • US Citizenship with the ability to obtain/maintain a Secret clearance

Preferred Qualifications

  • Experience with defense program risk management (DoD Risk, Issue, and Opportunity Management Guide)
  • Familiarity with schedule risk analysis tools (Polaris, Primavera Risk Analysis)
  • Experience with Bayesian networks or causal modeling
  • Knowledge of portfolio risk aggregation techniques
Peraton Overview

Peraton is a next-generation national security company that drives missions of consequence spanning the globe and extending to the farthest reaches of the galaxy. As the world's leading mission capability integrator and transformative enterprise IT provider, we deliver trusted, highly differentiated solutions and technologies to protect our nation and allies. Peraton operates at the critical nexus between traditional and nontraditional threats across all domains: land, sea, space, air, and cyberspace. The company serves as a valued partner to essential government agencies and supports every branch of the U.S. armed forces. Each day, our employees do the can't be done by solving the most daunting challenges facing our customers. Visit peraton.com to learn how we're keeping people around the world safe and secure.

Target Salary Range$86,000 - $138,000. This represents the typical salary range for this position. Salary is determined by various factors, including but not limited to, the scope and responsibilities of the position, the individual's experience, education, knowledge, skills, and competencies, as well as geographic location and business and contract considerations. Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay.EEOEEO: Equal opportunity employer, including disability and protected veterans, or other characteristics protected by law.Employment Type: FULL_TIME

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About Peraton

Sourced by ZipRecruiter

At Peraton, we re at the forefront of delivering the next big thing every day. We re the partner of choice to help solve some of the world s most daunting challenges, delivering bold, new solutions to keep people around the world safer and more secure.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Herndon, VA, US

Year founded

2017

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