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Stochastic Jobs (NOW HIRING)

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

Stochastic Processes * Analytical formula derivation * Model validation and gap analysis * Programming 20% * Python (expert) * SQL * AI coding tools (GitHub Copilot or similar) Additional Details ...

Reinsurance Actuary

Philadelphia, PA · On-site

$117K - $138K/yr

... stochastic underwriting models to analyze reinsurance structures • Maintain functional knowledge of products and services that Lockton offers (both insurance and reinsurance) • Focus on ...

The Risk Modeling Unit (RMU) at Chubb is responsible for describing the company's risk profile using a stochastic capital model and evaluating Chubb's internal economic capital. The Calibration team ...

... Stochastic Processes Analytical formula derivation Model validation and gap analysis Programming - 20% Python (expert) SQL AI coding tools (GitHub Copilot or similar) Additional Details: 5+ years in ...

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How much do stochastic jobs pay per hour?

As of Jul 8, 2026, the average hourly pay for stochastic in the United States is $19.70, according to ZipRecruiter salary data. Most workers in this role earn between $16.35 and $23.56 per hour, depending on experience, location, and employer.
What cities are hiring for Stochastic jobs? Cities with the most Stochastic job openings:
Infographic showing various Stochastic job openings in the United States as of July 2026, with employment types broken down into 95% Full Time, 4% Part Time, and 1% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $40,972 per year, or $19.7 per hour.
#53680 Postdoctoral Researcher in Computational Stochastic Programming

#53680 Postdoctoral Researcher in Computational Stochastic Programming

Southern Methodist University

Dallas, TX • On-site

$55K/yr

Full-time

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Company rating: 7.4 out of 10

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Job description

Description
Description: The Department of Operations Research and Engineering Management within the Lyle School of Engineering at the Southern Methodist University seeks candidates for a Postdoctoral Research Associate in computational stochastic programming. The primary duties will include (i) active research involving modeling, optimization, simulation, and computer implementation of stochastic programming algorithms, (ii) manuscript development for peer-reviewed publications, and (iii) assistance with additional sponsored research activity.
Qualifications
Position Requirements:
  • Successful completion of a Ph. D. (by the time of joining) in Operations Research, Applied Mathematics, Computer Science, or other related engineering fields.
  • Must have experience in stochastic and/or discrete optimization. Additionally, exposure to modeling of infrastructure planning and operations problems will be beneficial.
  • Highly motivated to pursue computational aspects of optimization research.
  • Candidate must have excellent written and verbal communication skills with the ability to communicate effectively with a wide range of constituencies

Salary and term: The anticipated start date is August 1, 2025. The position is for one year with a renumeration of $55,000 and benefits.
Application Instructions
Review of applications will begin immediately. To ensure full consideration for the position, the application must be received by June 15, 2025. However, the committee will continue to accept applications until the position is filled. The committee will notify applicants of its employment decisions after the position is filled. Hiring is contingent upon the satisfactory completion of a background check.
Contact: For more information regarding the research project and the open position, interested candidates can contact Harsha Gangammanavar (harsha@smu.edu).
SMU Nondiscrimination Statement: SMU is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, age, disability, genetic information, veteran status, sexual orientation, or gender identity and expression.

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