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Entry Level Monte Carlo Simulation Jobs (NOW HIRING)

BofA Securities, Inc.

VP; Structurer

Manhattan, NY · On-site

$225K - $235K/yr

Monte Carlo simulations & stochastic modeling, to price complex equity derivatives incl. Autocallables under varying market conditions, leveraging tools incl. Bloomberg Terminal/API, NumPy, Pandas ...

Aegis Corps

Risk Analyst

Washington, DC · On-site +1

Experience with development of logistic regression and forecasting Monte-Carlo simulation models. * Knowledge of credit analysis, and experience with constructing and monitoring risk measures.

OMNIVISION

Analog Design Engineer

Santa Clara, CA · On-site

$156K - $160K/yr

Perform corner analysis and Monte Carlo simulations. * Temperature and process variation analysis. * Noise analysis and optimization. Layout design and verification, including: * Create and optimize ...

OMNIVISION

Analog Design Engineer

Santa Clara, CA · On-site

$156K - $160K/yr

Perform corner analysis and Monte Carlo simulations. * Temperature and process variation analysis. * Noise analysis and optimization. Layout design and verification, including: * Create and optimize ...

Amazon

Senior Satellite GNC Engineer, Amazon Leo

Redmond, WA · On-site

$117K - $160K/yr

You will derive and prototype estimation and control algorithms, turn them into production flight code, and prove them out through 6-DOF and Monte Carlo simulation and hardware-in-the-loop testing in ...

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Entry Level Monte Carlo Simulation information

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$67.6K

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

As of Jul 14, 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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What cities are hiring for Entry Level Monte Carlo Simulation jobs? Cities with the most Entry Level Monte Carlo Simulation job openings:
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What job categories do people searching Entry Level Monte Carlo Simulation jobs look for? The top searched job categories for Entry Level Monte Carlo Simulation jobs are:
Entry Level Monte Carlo Simulation jobs near you
Infographic showing various Entry Level Monte Carlo Simulation job openings in the United States as of July 2026, with employment types broken down into 29% Locum Tenens, 22% As Needed, 11% Full Time, 23% Temporary, and 15% Nights. Highlights an 91% Physical, 3% Hybrid, and 6% Remote job distribution, with an average salary of $67,601 per year, or $32.5 per hour.

VP; Structurer

BofA Securities, Inc.

Manhattan, NY • On-site

$225K - $235K/yr

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

VP; Structurer sought by BofA
Securities, Inc. to design & implement advanced pricing solutions for equity exotic derivatives. Develop & maintain proprietary pricing models leveraging stochastic processes to ensure accurate valuation under complex market conditions. Build & optimize internal sftwr tools for trade lifecycle automation, incl. pricing engines, risk analytics, & scenario analysis frameworks. Reqs: Master's or equiv. & 3 yrs exp. in: Applying advanced quantitative methods, incl. Monte Carlo simulations & stochastic modeling, to price complex equity derivatives incl. Autocallables under varying market conditions, leveraging tools incl. Bloomberg Terminal/API, NumPy, Pandas, & Excel; Developing & deploying production grade Python apps (using VSCode / PyCharm) to automate pricing workflows, risk analysis, & trade reporting for large-scale data sets on Linux servers, incorporating asynchronous programming (Asyncio) for performance optimization. Salary: $225,000 - $235,000/year. Job Site: New York, NY. Req#26022760. If interested apply online at www.bankofamerica.com/careers or email your resume to bofajobs@bofa.com & reference the job title of the role & requisition number. No phone calls. EOE.

JobiqoTJN. , Location: PECK SLIP, NY - 10060

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