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Stochastic Modeling Jobs (NOW HIRING)

Perform enterprise risk quantification, stochastic modeling, and capital adequacy analyses across underwriting, reserving, catastrophe, market, credit, and operational risks. * Conduct stress testing ...

... and stochastic modeling using asset allocation parameters.Requirements: bachelor's degree in finance, accounting, business, economics or a relevant field, with five years of directly related ...

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Stochastic Modeling information

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$25.5K

$104.4K

$201.5K

How much do stochastic modeling jobs pay per year?

As of Sep 14, 2026, the average yearly pay for stochastic modeling in the United States is $104,419.00, according to ZipRecruiter salary data. Most workers in this role earn between $69,500.00 and $128,000.00 per year, depending on experience, location, and employer.

What is stochastic modeling?

A Stochastic Modeling job involves developing mathematical models that incorporate randomness to analyze uncertain systems and predict outcomes. Professionals in this field apply probability theory, statistics, and computational techniques to fields such as finance, insurance, engineering, and data science. They build and validate models to assess risks, optimize decision-making, and improve forecasting accuracy. Strong analytical skills and proficiency in programming languages like Python, R, or MATLAB are often required.

What does someone in stochastic modeling do?

As a stochastic modeling professional, your daily tasks might include developing and validating probabilistic models, analyzing large datasets, and performing simulations to forecast outcomes or assess risks. Youโ€™ll often collaborate with cross-functional teams such as data scientists, financial analysts, or engineers to translate real-world problems into mathematical frameworks. Regular responsibilities also involve presenting findings to stakeholders, refining models based on new data, and staying updated on the latest modeling techniques in your industry. This role provides a balance of independent analytical work and teamwork, offering diverse challenges and skill development opportunities.

What are the key skills and qualifications needed for stochastic modeling?

To thrive in stochastic modeling, you need strong mathematical and statistical skills, often backed by a degree in mathematics, statistics, data science, or a related field. Expertise with technical tools such as R, Python, MATLAB, and statistical modeling software, as well as familiarity with industry-standard certifications like FRM or CFA in finance, is highly valued. Analytical thinking, attention to detail, and the ability to communicate complex ideas to non-technical stakeholders are critical soft skills. These competencies allow you to create accurate models for forecasting and risk assessment, helping organizations make informed decisions in uncertain environments.

More about Stochastic Modeling jobs

What are the most commonly searched types of Stochastic Modeling jobs?

The most popular types of Stochastic Modeling jobs are:

What other helpful pages are available for Stochastic Modeling?

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Infographic showing various Stochastic Modeling job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 86% Full Time, 11% Part Time, and 2% Contract. Highlights an 80% Physical, 4% Hybrid, and 16% Remote job distribution, with an average salary of $104,419 per year, or $50.2 per hour.

Senior AFSIM Developer

Huntsville, AL โ€ข On-site

Modern Technology Solutions, Inc.
Engineering Professional Servicesย โ€ขย 501 - 1,000 employees

$53.75 - $71/hr

Full-time

Re-posted 18 days ago


Job description

MTSI is seeking Senior AFSIM (Advanced Framework for Simulation, Integration, and Modeling) Developer/Analyst to design, implement, and analyze mission-level simulations supporting advanced DoD systems and CONOPS development. The ideal candidate will have hands-on experience extending AFSIM through scenario scripting, high-fidelity subsystem modeling, analytic workflows, and C++ plugin development. This role involves building and integrating complex models for sensors, weapons, communications, and decision logic into scalable simulation architectures to evaluate system performance and mission effectiveness.
Key Responsibilities:
  • Architect, develop, and maintain AFSIM models, plugins, and simulation components to support advanced mission-level analyses.
  • Develop custom AFSIM behaviors, algorithms, and decision models (tasking logic, autonomy, federated multi-domain behaviors, etc.).
  • Integrate external data sources (threat models, performance data, signatures, environmental models) to improve simulation fidelity.
  • Analyze simulation results and extract actionable insights and recommendations to stakeholders.
  • Collaborate with engineers, analysts, and subject matter experts to define simulation requirements and scenarios.
  • Integrate new capabilities, algorithms, and data into AFSIM models to enhance simulation fidelity.
  • Document simulation processes, methodologies, and results in technical reports and presentations.
  • Support briefings and discussions with customers and stakeholders.

Basic Qualifications:
  • US citizenship and ability to obtain and maintain a security clearance (if not already held)
  • Bachelor's degree in engineering, Computer Science, Mathematics, Physics, or related field.
  • 7+ years hands-on experience developing AFSIM models, scenarios, and plugins.
  • Familiarity with modeling and simulation principles including discrete-event simulation, stochastic modeling, Monte Carlo techniques, and scenario-based experimentation.
  • Strong programming skills in languages such as C++, Python, or similar.
  • Excellent problem-solving and analytical skills.
  • Strong written and verbal communication skills.

Preferred Qualifications:
  • Master's degree in a technical field.
  • Experience modeling military platforms, RF systems, weapons, C2 networks, orbital mechanics, or EW effects.
  • Familiarity with other simulation tools or frameworks (e.g., MATLAB, STK, or similar).
  • Knowledge of data visualization and analysis tools.

Why Join Us?
  • Work on cutting-edge technologies and contribute to mission-critical projects.
  • Join a collaborative, high-performing team of engineers and analysts.
  • Competitive compensation and benefits package.

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