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Stochastic Modeling Jobs (NOW HIRING)

Tmhcc

Lead Actuarial Risk Modeler, Cyber

Duluth, GA · On-site

Deep knowledge of statistics, simulation, & stochastic modeling techniques * Proficient programming skills in Python, R, or similar preferred * Well versed with man-made accumulation risks state of ...

Turing

Remote Quantitative Finance Analyst

Chicago, IL · Remote

$100 - $200/hr

Evaluate LLM models on quantitative finance topics such as stochastic modeling, derivatives pricing, statistical arbitrage, and risk quantification. * Create rubrics to assess model capabilities on ...

Staffingine LLC

AI ML Engineer

Phoenix, AZ · On-site

$113K - $136K/yr

Knowledge of Monte Carlo simulations and stochastic modeling * Experience with Git and CICD pipelines * Exposure to regulatory frameworks Solvency II IFRS 17 Soft Skills: * Strong problem solving and ...

MDAEdge

Python Developer - Oil & Gas Sector

Houston, TX · On-site

$48 - $66/hr

... stochastic modeling, and probability analysis. • Show proficiency in data visualization tools like Matplotlib, Plotly, or Seaborn. • Build and interpret simulation models to generate clear ...

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Stochastic Modeling information

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$25.5K

$104.4K

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How much do stochastic modeling jobs pay per year?

As of Sep 15, 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. You’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.

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Stochastic Modeling jobs near you
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.

Lead Actuarial Risk Modeler, Cyber

Duluth, GA • On-site

Tmhcc
See more jobs at Tmhccexternal

Full-time

Re-posted 24 days ago

Job description

Overview:

As Lead Actuarial Risk Modeler, you will utilize your actuarial and risk modeling skills with specialized expertise in cyber to support Tokio Marine Holdings model development, validation, and analytics. This position will be located in Metro Atlanta area (Duluth, GA) joining a bright team of experts in risk modeling, analytics, research, and development.

Performance Objectives:

  • Cyber and Cat Analytics: Expert user of vendor cyber models and applied analytics supporting various functions in risk management and underwriting.
  • Research and Catastrophe Model Evaluations: Develop benchmarks and validate model components and results presenting conclusions and recommendations to stakeholders. Actively research in the field of cyber and (man-made) accumulation risks.
  • Cyber and Cat Model Development: Apply specialized actuarial and cyber expertise to develop risk models for cyber and other perils - (man-made) accumulation risks and natural catastrophe.
  • Training and Collaboration: As an expert in the field, proactively share expertise and research on various research and relevant topics via training and collaboration with the broader Tokio Marine Group.

Requirements:

  • Bachelor's degree in Actuarial Science, Data Science, Statistics or similar field; advanced degree or actuarial certifications (ACAS/FCAS) preferred.
  • A minimum of 5 years of relevant and progressive professional experience in cyber risk modeling, actuarial, or catastrophe modeling and analytics with proven track record in developing and validating risk models in P&C (re)insurance industry.
  • Expert user of vendor cyber models with thorough understanding of related frameworks
  • Deep knowledge of statistics, simulation, & stochastic modeling techniques
  • Proficient programming skills in Python, R, or similar preferred
  • Well versed with man-made accumulation risks state of knowledge
  • Experience applying actuarial expertise in catastrophe modeling and risk analytics
  • Flexibility and a willingness to learn
  • Sound analytical skills, as well as strong decision-making and problem-solving aptitude
  • Exceptional communication and presentation skills with ability to establish networks
  • Experience with project management a plus

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