1

Stochastic Modeling Jobs (NOW HIRING)

Life Insurance Principal

Manhattan, NY · On-site

$180 - $240/hr

Perform and oversee deterministic and stochastic cashflow modeling, sensitivity analyses, and experience studies * Review and validate opposing-party valuations, reserving methods, model ...

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

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 ...

next page

Showing results 1-20

Stochastic Modeling information

See salary details

$25.5K

$104.4K

$201.5K

How much do stochastic modeling jobs pay per year?

As of Aug 25, 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.

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:

Infographic showing various Stochastic Modeling job openings in the United States as of August 2026, with employment types broken down into 87% Full Time, 11% Part Time, and 2% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $104,419 per year, or $50.2 per hour.

Life Insurance Principal

Manhattan, NY • On-site

$180 - $240/hr

Other

Posted 6 days ago


Job description


  • Prepare independent expert reports, affidavits, and exhibits for litigation, arbitration, and regulatory matters

  • Provide expert witness and deposition testimony to judges, arbitrators, juries, and attorneys

  • Perform and oversee deterministic and stochastic cashflow modeling, sensitivity analyses, and experience studies

  • Review and validate opposing-party valuations, reserving methods, model implementations, and assumptions

  • Maintain reproducible models, complete audit trails, and documentation

  • Collaborate with outside counsel and internal subject-matter experts on legal strategy and discovery requirements

  • Advise clients on settlement drivers, regulatory exposures, capital impacts, and reinsurance/retrocession implications

  • Mentor and supervise actuarial staff and maintain quality control and peer review

  • Monitor actuarial standards, legal precedents, and regulatory developments affecting disputes


Requirements



  • Bachelor’s degree in Actuarial Science, Mathematics, Statistics, Finance, or a related quantitative field

  • ASA or FSA (or equivalent) required

  • Minimum 10+ years of actuarial experience in life insurance, annuities, or reinsurance

  • Strong background in liability valuation, reserving, and pricing

  • Experience with variable annuities, equity guarantees, or other complex life/annuity products highly desirable

  • Proficiency in reserving, statutory and GAAP/IFRS valuation frameworks, experience studies, and stochastic modeling

  • Strong model development, validation, and documentation skills

  • Familiarity with actuarial platforms such as Prophet and GGY advantageous

  • Ability to produce reproducible analyses and maintain full audit trails suitable for legal scrutiny

  • Experience preparing expert reports and working with outside counsel

  • Ability to translate complex technical material into clear, defensible findings for legal audiences

  • Excellent written and verbal communication skills

  • Experience presenting to non-technical audiences including judges, juries, and executives

  • Track record of mentoring staff, leading technical teams, and delivering high-quality work under tight deadlines

  • Demonstrated independence, integrity, and adherence to actuarial standards of practice and ethical guidelines required for expert testimony


Core Competencies


Expertise in actuarial science with a strong focus on liability valuation, reserving, and pricing, complemented by extensive experience in stochastic modeling and regulatory compliance. Proven ability to prepare expert reports and provide testimony while mentoring actuarial staff and maintaining high standards of quality control.


Highest-signal resume keywords



  • Actuarial Science Expertise

  • Expert Report Preparation

  • Stochastic Modeling

  • Liability Valuation

  • Mentoring Actuarial Staff


ATS Optimization Keywords


Hard Skills



  • Cashflow Modeling

  • Sensitivity Analysis

  • Experience Studies

  • Model Development

  • Valuation Frameworks

  • Reserving Methods

  • Statutory Valuation

  • GAAP Valuation

  • Documentation Skills

  • Expert Testimony


Soft Skills



  • Excellent Communication Skills

  • Leadership

  • Independence

  • Integrity

  • Collaboration


Certifications & Qualifications



  • ASA

  • FSA


Industry Keywords



  • Life Insurance

  • Annuities

  • Reinsurance

  • Regulatory Compliance

  • Legal Strategy


Tools & Technologies



  • Prophet

  • GGY

#J-18808-Ljbffr