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Stochastic Modeling Jobs (NOW HIRING)

BAE Systems

Ops Research Anst Sr Prin II

Kingsport, TN · On-site

$122K - $208K/yr

Create stochastic modeling and measuring techniques, utilizing mathematics, statistical methods, engineering methods, operational mathematics techniques, and other principles and laws of scientific ...

Ryan Specialty

Quantitative Risk Modeling Lead

Lead the development and maintenance of stochastic risk models covering credit, real estate, and equity type assets that can be applied to individual transactions as well as overall portfolio. * Lead ...

Tmhcc

Lead Actuarial Risk Modeler, Cyber

Duluth, GA

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 ...

TraceLink, Inc

Senior Data Scientist

Wilmington, MA · On-site

$178K/yr

Apply advanced techniques in causal inference, optimization, stochastic modeling, and predictive analytics to tasks such as forecasting drug shortages and mitigate supply chain risks. * Develop, fine ...

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 ...

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$201.5K

How much do stochastic modeling jobs pay per year?

As of Jul 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 are the key skills and qualifications needed to thrive in the Stochastic Modeling position, and why are they important?

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.

What are some typical daily responsibilities for a professional in stochastic modeling?

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 is a Stochastic Modeling job?

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.

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:
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Stochastic Modeling jobs near you
Infographic showing various Stochastic Modeling job openings in the United States as of July 2026, with employment types broken down into 85% Full Time, 11% Part Time, 1% Temporary, and 3% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution, with an average salary of $104,419 per year, or $50.2 per hour.
Director, Actuary - Model Development, Product & Pricing

Director, Actuary - Model Development, Product & Pricing

American Equity

Des Moines, IA • On-site

Other

Re-posted 18 days ago

Job description

At American Equity we offer leading annuity products that help empower our clients to fulfill their needs and wants in retirement. Our success comes from hiring high-energy individuals who embody the beliefs that drive our unique culture. We currently fund over half a million retirements nationwide, headquartered in Des Moines, Iowa, for over thirty years with satellite offices in Charlotte, NC and New York, NY.

GENERAL PURPOSE OF THE JOB:

Reporting to the AVP, Product & Pricing, this actuary will be key to model development supporting growth within the retail annuity segment.

The actuary will be responsible for pricing model development, with particular emphasis on enhancements related to principles-based reserving standards (VM22 and VM21). The role offers strong visibility and the opportunity to influence key actuarial decisions in a dynamic, growth-oriented environment.

ESSENTIAL DUTIES AND RESPONSIBILITIES:

  • Build pricing models using Integrate (formerly MG ALFA), specifically within a principles-based reserving framework.
  • Assure modeling and documentation meets governance requirements consistent with Product Development Process governance standards.
  • Perform and communicate complex actuarial analyses related to annuity pricing and modeling.
  • Price/value embedded derivatives and assess hedging implications and costs.
  • Utilize strong actuarial & risk management knowledge including stochastic modeling and understanding of hedging and embedded derivatives to capture all potential risks and costs in pricing analysis.
  • Ensure documentation and execution of actuarial analysis, align with the SOA Code of Professional Conduct and Actuarial Standards of Practice.
  • Provide mentorship and technical guidance to junior actuarial staff.
  • Collaborate with ALM, valuation, finance, tax, hedging, legal, and various other partners as part of the model development process to ensure pricing analysis accounts for all key elements involved in new business modeling.
  • Perform other work as assigned.

SUPERVISORY RESPONSIBILITIES:

  • Direct Reports: TBD

CERTIFICATES, LICENSES, PROFESSIONAL DESIGNATIONS:

  • FSA (Preferred) or ASA
  • MAAA

KNOWLEDGE, SKILLS AND ABILITIES:

  • Prior experience and practical knowledge of US annuity valuation, reserving and capital standards.
  • Strong understanding of annuity pricing concepts, including profitability mechanics, sources of risk, and solvency & accounting requirements.
  • Strong understanding of risk-neutral pricing & hedging concepts.
  • Strong verbal and written communication skills to present and discuss results of analysis.
  • Strong experience using industry standard annuity pricing software, or coding background to be applied in annuity pricing software.
  • Applications will include:
    • MGALFA / Integrate
    • Microsoft Office Suite including Word, Excel / VBA for analysis, PowerPoint, and Outlook.
  • Practical knowledge of Bermuda regulatory framework is a plus but not required.
  • Minimal to no travel is required in this position.

 EDUCATION AND/OR EXPERIENCE:

  • B.S. in Actuarial, Mathematics, Statistics, Economics, or other quantitative fields.
  • ASA / FSA (preferred)
  • 5+ years of progressive experience in annuity modeling, pricing or and/or valuation.
  • Proficient in the use of Microsoft Excel for analysis.
  • Experience with Stochastic Modeling, or Deterministic Approximations thereof (MG-ALFA / Integrate preferred).
  • Experience with hedging and arbitrage free, risk-neutral pricing/valuation concepts preferred.

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