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Entry Level Monte Carlo Simulation Jobs (NOW HIRING)

Fuse

Nuclear Engineer

San Leandro, CA · On-site

$111K - $133K/yr

We are seeking a Nuclear Engineer with expertise in particle transportation, Monte Carlo simulation, and radiation shielding to support our fusion facility. The ideal candidate will have a strong ...

Citigroup, Inc.

Rates XVA Quant, AVP

New York, NY · On-site

$150K - $175K/yr

Implement Monte Carlo simulation and exposure modelling to support valuation and counterparty risk analytics * Contribute to the full model lifecycle - from research and implementation through to ...

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Entry Level Monte Carlo Simulation information

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How much do entry level monte carlo simulation jobs pay per year?

As of Jun 22, 2026, the average yearly pay for entry level 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 the difference between Entry Level Monte Carlo Simulation vs Entry Level Data Analyst?

AspectEntry Level Monte Carlo SimulationEntry Level Data Analyst
Required CredentialsBachelor's in Math, Statistics, or related field; basic programming skillsBachelor's in Data Science, Statistics, or related field; proficiency in Excel and SQL
Work EnvironmentFinancial, insurance, or engineering firms; analytical teamsBusiness, marketing, finance, or tech companies; data teams
Industry UsageRisk analysis, financial modeling, simulationsData interpretation, reporting, business insights

Entry Level Monte Carlo Simulation focuses on probabilistic modeling and risk assessment using simulations, often requiring programming skills. Entry Level Data Analysts interpret data, create reports, and support decision-making. While both roles involve data handling, Monte Carlo roles emphasize simulation techniques, whereas Data Analysts focus on data visualization and analysis.

What are some typical projects or tasks that an Entry Level Monte Carlo Simulation professional can expect to work on?

As an Entry Level Monte Carlo Simulation professional, you will likely assist in developing, running, and analyzing simulations to model uncertainty and predict outcomes for projects such as financial forecasting, engineering design, or risk assessment. Your daily tasks might include preparing input data, coding simulation scripts (often in Python or MATLAB), and interpreting simulation results under the guidance of senior analysts. You'll also collaborate with cross-functional teams—such as data scientists, engineers, or financial analysts—to ensure your simulations align with project goals and client needs. This hands-on experience provides a strong foundation for career growth in modeling, analytics, or advanced quantitative roles.

What are the key skills and qualifications needed to thrive as an Entry Level Monte Carlo Simulation analyst, and why are they important?

To thrive as an Entry Level Monte Carlo Simulation analyst, you need a solid background in mathematics, probability, and statistics, often supported by a degree in a quantitative field such as mathematics, engineering, or physics. Familiarity with programming languages like Python or R and simulation software such as MATLAB or @RISK is typically required. Analytical thinking, attention to detail, and effective communication are important soft skills for interpreting results and collaborating with teams. These skills ensure accurate modeling, insightful analysis, and clear reporting of simulation outcomes for data-driven decision-making.

What are Entry Level Monte Carlo Simulation jobs?

Entry level Monte Carlo Simulation jobs involve using probabilistic modeling and computational techniques to simulate complex systems and processes. Professionals in these roles typically assist in running simulations, analyzing results, and supporting research or decision-making in fields like finance, engineering, or data science. With guidance from senior staff, entry-level employees are expected to have a basic understanding of probability, statistics, and programming languages such as Python or R. These positions are ideal for recent graduates or those new to the field who are looking to apply mathematical and analytical skills in a practical setting.
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Entry Level Monte Carlo Simulation jobs near you
Complex Financial Instruments Senior Associate

Complex Financial Instruments Senior Associate

Grant Thornton

San Francisco, CA

$146K - $152K/yr

Full-time

Posted 17 days ago

Grant Thornton rating

9.0

Company rating: 9.0 out of 10

Based on 7 frontline employees who took The Breakroom Quiz

2nd of 17 rated bookkeepers and accountants

Job description

Job Title: Complex Financial Instruments Senior Associate for Multiple Openings

Approved Locations: 101 California St., San Francisco, CA 94111

Job Description:

Your day-to-day will include:

  • Assist clients by applying traditional and cutting-edge valuation approaches and methods to a variety of analyses. 

  • Perform valuations of financial instruments such as equity instruments in complex capital structures, options, warrants, redeemable debt, convertible debt and embedded derivatives, and contingent claims, such as earnouts and contingent considerations, utilizing statistical and financial concepts such as Black-Scholes model, Monte Carlo simulation, and binomial lattice model. 

  • Perform valuation analysis and modeling. 

  • Utilize advanced statistical and financial concepts inbuilding models including Monte Carlo simulation, binomial lattice model, and real options. 

  • Oversee and perform data- and document-intensive financial analysis and modeling/projections, economic and statistical analysis, valuation analysis, and industry research. 

  • Oversee and perform research to establish positions on valuation matters, document management, referencing from source documents to analysis, and file preparation. 

  • Maintain active communication with clients to manage expectations, ensure satisfaction, make sure deadlines are met, and lead change efforts effectively. 

  • Maintain active communication with engagement team regarding interim and final deadline, percent of completion, etc.

You have the following technical skills and qualifications:

  • Requirement - Master's degree in Accounting, Finance, Economics, Financial Engineering, Mathematics, a related field, or a foreign equivalent.

  • Relevant experience - 1 year of post-baccalaureate experience in job offered or any tax/accounting/education related job titles.

  • Experience must include: (1) financial analysis and modeling including option modeling; (2) Statistical analyses including regression analysis for estimating parameters, testing assumptions, and improving predictive power; (3) Monte Carlo analysis; (4) Lattice models to value financial instruments; (5) Derivative valuation practice and theory; (6) Computer programming in MATLAB or Python; and (7) Fundamentals of debt valuation including development of discounted cash flow methods and analysis of market yields.

  • Must live within a commutable distance to the assigned Grant Thornton Office location to meet 3 days per week work from office requirement.

  • Compensation for role: $146,004 - $152,000 per year           

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About Grant Thornton

Sourced by ZipRecruiter

At Grant Thornton, we believe in making business more personal and building trust into every result - for our clients and you. Here, we go beyond your expectations of a career in professional services by offering a career path with more: more opportunity, more flexibility, and more support. It's what makes us different, and we think being different makes us better.

Industry

Accounting services

Company size

5,001 - 10,000 Employees

Headquarters location

Chicago, IL, US

Year founded

1924

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