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Remote Stochastic Modeling Jobs (NOW HIRING)

The Pennsylvania State University

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional ... STAT 416 - Stochastic Modeling * STAT 418 - Introduction to Probability and Stochastic Processes ...

The Pennsylvania State University

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional ... 416 - Stochastic Modeling/STAT 418 - Introduction to Probability and Stochastic Processes for ...

University of Wisconsin-Madison

Scientist

Madison, WI · On-site +1

$72K/yr

... remote sensing products, weather/climate model outputs, hydrologic science, data science, and stochastic modeling. Preferred Qualifications: A successful candidate will have background and ...

Waymo

Planning Manager - Infrastructure

Use simulation techniques, stochastic modeling, and other optimization tools to derive risk ... Planning/Modeling in Anaplan (WA Based & Remote Roles - Disclosure) In accordance with Washington ...

Insight

Principal Software Engineer - AI/ML

$138K - $185K/yr

Strong foundation in optimization algorithms, stochastic modeling, and systems analysis ... Remote || Tennessee (US-TN) || United States (US) || Engineering || None || Remote

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Remote Stochastic Modeling information

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How much do remote stochastic modeling jobs pay per hour?

As of Jun 25, 2026, the average hourly pay for remote stochastic modeling in the United States is $40.33, according to ZipRecruiter salary data. Most workers in this role earn between $31.25 and $43.51 per hour, depending on experience, location, and employer.

What is remote stochastic modeling?

Remote stochastic modeling involves using mathematical and statistical techniques to analyze and predict outcomes that are inherently uncertain, all while working from a remote location. These models are widely used in fields such as finance, insurance, engineering, and data science to simulate complex systems and assess risks. As a remote stochastic modeler, professionals utilize specialized software and collaborate with teams online to develop, test, and interpret these models. This flexible work arrangement enables experts to contribute to projects from anywhere, making it ideal for those seeking work-life balance or international opportunities.

What is the difference between Remote Stochastic Modeling vs Remote Quantitative Analyst?

AspectRemote Stochastic ModelingRemote Quantitative Analyst
Required CredentialsAdvanced degrees in mathematics, statistics, or finance; programming skillsSimilar credentials; strong math, programming, and finance background
Work EnvironmentFinancial firms, hedge funds, risk management teams, often collaborativeFinancial institutions, investment firms, risk departments, often collaborative
Industry UsageUsed for developing models to predict market behavior and riskUsed for analyzing financial data, developing trading strategies, risk assessment
Comparison Search IntentUnderstanding modeling techniques in financeAnalyzing financial data and strategies

Remote Stochastic Modeling and Remote Quantitative Analyst roles share similar credentials and work environments, often within financial institutions. While stochastic modeling focuses on developing probabilistic models, quantitative analysts apply these models to analyze data and inform trading or risk decisions. Both roles are integral to financial analysis and often overlap in skills and industry usage.

What are the key skills and qualifications needed to thrive as a Remote Stochastic Modeler, and why are they important?

To thrive as a Remote Stochastic Modeler, you need a solid background in mathematics, probability theory, and statistical analysis, typically supported by a degree in mathematics, statistics, or a related field. Proficiency with programming languages like Python or R, experience with simulation software, and familiarity with data analysis tools are commonly required. Strong problem-solving abilities, attention to detail, and effective remote communication skills distinguish top performers in this role. These skills are crucial for developing accurate models and collaborating efficiently with distributed teams to solve complex, data-driven problems.

What are some common challenges faced by professionals in remote stochastic modeling roles, and how can they be addressed?

Professionals in remote stochastic modeling often encounter challenges such as collaborating effectively with geographically dispersed teams and ensuring consistent data access and version control. Clear communication and frequent virtual meetings are essential to align on model assumptions and share findings. Additionally, utilizing cloud-based collaboration tools and maintaining thorough documentation help streamline workflow and minimize misunderstandings. Staying proactive about seeking feedback and clarifications can also mitigate the isolation sometimes experienced in remote settings.
More about Remote Stochastic Modeling jobs
What cities are hiring for Remote Stochastic Modeling jobs? Cities with the most Remote Stochastic Modeling job openings:
What are the most commonly searched types of Stochastic Modeling jobs? The most popular types of Stochastic Modeling jobs are:
What states have the most Remote Stochastic Modeling jobs? States with the most job openings for Remote Stochastic Modeling jobs include:
What job categories do people searching Remote Stochastic Modeling jobs look for? The top searched job categories for Remote Stochastic Modeling jobs are:
Remote Stochastic Modeling jobs near you
Infographic showing various Remote Stochastic Modeling job openings in the United States as of June 2026, with employment types broken down into 91% Full Time, and 9% Part Time. Highlights an 9% In-person, and 91% Remote job distribution, with an average salary of $83,896 per year, or $40.3 per hour.
Undergraduate Teaching Assistant - Department of Statistics

Undergraduate Teaching Assistant - Department of Statistics

The Pennsylvania State University

On-site, Remote

Part-time

Posted 19 days ago

Job description

APPLICATION INSTRUCTIONS:
  • CURRENT PENN STATE EMPLOYEE (faculty, staff, technical service, or student), please login to Workday to complete the internal application process. Please do not apply here, apply internally through Workday.
  • CURRENT PENN STATE STUDENT (not employed previously at the university) and seeking employment with Penn State, please login to Workday to complete the student application process. Please do not apply here, apply internally through Workday.
  • If you are NOT a current employee or student, please click "Apply" and complete the application process for external applicants.

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional information on remote work at Penn State, seeNotice to Out of State Applicants.

JOB DESCRIPTION AND POSITION REQUIREMENTS

The Department of Statistics has multiple vacancies available for students to serve as Undergraduate Teaching Assistants (UTA).

Courses may include:

  • STAT 200 - Elementary Statistics
  • STAT 240 - Introduction to Biometry
  • STAT 318 - Elementary Probability
  • STAT 319 - Applied Statistics in Science
  • STAT 401 - Experimental Methods
  • STAT 414 - Introduction to Probability Theory
  • STAT 415 - Introduction to Mathematical Statistics
  • STAT 416 - Stochastic Modeling
  • STAT 418 - Introduction to Probability and Stochastic Processes for Engineering
  • STAT 460 - Intermediate Applied Statistics
  • STAT 461 - Analysis of Variance
  • STAT 462 - Applied Regression Analysis
  • STAT 463 - Applied Time Series Analysis
  • STAT 466 - Survey Sampling
  • STAT 480 - Introduction to SAS
  • STAT 483 - Statistical Analysis System Programming.

Statistic UTA's will be involved with the grading of assignments for a given class based on a scoring rubric developed by the supervising faculty member. These might include daily problems, quizzes, pre-lab assignments, or laboratory reports. Qualified applicants should have taken the course they will be grading and earned at least a B+ or better and must have a minimum 3.0 cumulative GPA. Also, they should have good communication and interpersonal skills, be reliable and organized and have excellent time management skills.

Preference will be given to students majoring or minoring in Statistics. Please upload a cover letter, resume, and a recent transcript with your application. Applications will be received on an ongoing basis and reviewed as the need arises.

BACKGROUND CHECKS/CLEARANCES

Employment with the University will require successful completion of background check(s) in accordance with University policies.

CAMPUS SECURITY CRIME STATISTICS

Pursuant to the Jeanne Clery Disclosure of Campus Security Policy and Campus Crime Statistics Act and the Pennsylvania Act of 1988, Penn State publishes a combined Annual Security and Annual Fire Safety Report (ASR). The ASR includes crime statistics and institutional policies concerning campus security, such as those concerning alcohol and drug use, crime prevention, the reporting of crimes, sexual assault, and other matters. The ASR is available for review here.

EEO IS THE LAW

Penn State is an equal opportunity employer and is committed to providing employment opportunities to all qualified applicants without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. If you are unable to use our online application process due to an impairment or disability, please contact 814-865-1473.

Penn State is committed to and accountable for advancing equity, respect, and belonging. We embrace individual uniqueness, as well as a culture of belonging that supports equity initiatives, leverages the educational and institutional benefits of inclusion in society, and provides opportunities for engagement intended to help all members of the community thrive. We value belonging as a core strength and an essential element of the university's teaching, research, and service mission.

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About Pennsylvania State University

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Pennsylvania State University, often referred to as Penn State, is a major, public, research-intensive university located in University Park, PA, US. This esteemed institution serves as an important player within the education industry, offering a plethora of academic programs across various disciplines. The university was founded in 1855 with the mission to provide quality education, advanced research, and service to society. Penn State holds firmly to values of integrity, respect, and excellence, fostering a diverse and inclusive community. The university is renowned for its research productivity and its high-ranking programs in areas like engineering, business, and education. One notable achievement of the institution is its designation as a "R1: Doctoral Universities – Very high research activity," demonstrating its commitment to scholarship and discovery.

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Education

Company size

11 - 50 Employees

Headquarters location

University Park, PA, US

Year founded

1855

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