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Remote Stochastic Modeling Jobs (NOW HIRING)

Remote work may be permitted within a commutable distance from the worksite. REQUIREMENTS: Master ... Performing financial modeling techniques, including value-at-risk type of models, interest rate ...

Strong skills in scientific data analyses, modeling, visualization and communication of results ... S. in Computer Science, Computational Physics, Operations Research, Geospatial Sciences, Remote ...

Strong skills in scientific data analyses, modeling, visualization and communication of results ... S. in Computer Science, Computational Physics, Operations Research, Geospatial Sciences, Remote ...

Machine Learning Engineer

Foster, OR ยท On-site +1

$160K - $215K/yr

Possibility for Remote. Key Responsibilities: * Design, develop, and optimize advanced algorithms ... Familiarity with AI/ML concepts and workflows, including data preprocessing, model training ...

Senior Machine Learning Engineer I II

$107K - $146K/yr

United States (Remote); At Signifyd, we help merchants confidently grow their businesses by ... This includes the core fraud detection model that decides the majority of our traffic, alongside ...

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional ... modeling, quantitative biology, dynamical systems, stochastic processes, complex systems, or ...

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional ... The successful candidate will have a strong foundation in statistical mechanics, stochastic ...

Sr. Applied Scientist

$152K - $244K/yr

About the team As a Senior Applied Scientist on Zillow Group's Conversion and Core Modeling team ... This role has been categorized as a Remote position. "Remote" employees do not have a permanent ...

USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with ... Develops and deploys models within the Model Development Control (MDC) and Model Risk Management ...

USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with ... Develops and deploys models within the Model Development Control (MDC) and Model Risk Management ...

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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:
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.
Senior Energy Market Modeler - Optimization & Planning

Senior Energy Market Modeler - Optimization & Planning

ICF

Boston, MA โ€ข On-site, Remote

Full-time

Posted 10 days ago


Job description

Senior Energy Market Modeler - Optimization & Planning

Location: Reston, VA Hybrid or US Remote

About the Role
Join us in shaping the future of energy systems. We are looking for a highly skilled and forward-thinking professional to lead advanced modeling and optimization initiatives for integrated energy system planning. In this role, you will focus on electric sector planning, market design, and techno-economic analysis - critical components in building a low-carbon, reliable, and cost-effective grid.

As a Senior Energy Market Modeler - Optimization & Planning, you will design, develop, and use cutting-edge power system and electricity market models, along with analytics tools that drive energy, economic, and financial insights for grid planning and operations. Your work will include creating and using optimization methodologies and analytics frameworks that underpin next-generation solutions.

You will have the opportunity to conduct research across a broad spectrum of topics, including:

  • Analysis of energy and power systems

  • Optimization of variable energy resources

  • Electricity market design and operation

  • Integration of emerging technologies

  • Interdependencies between power grids and other infrastructures

This is a chance to make a meaningful impact on the energy transition while working on complex, high-value challenges in collaboration with industry leaders.

Key Responsibilities

  • Participate in developing data and models and applying advanced optimization approaches for capacity expansion, production cost, and integrated resource planning.

  • Assist the delivery of client work through modeling, developing presentations, writing, and preparing entire subsections of reports and papers, and helping with additional customer requests.

  • Design and lead efforts on co-optimization across generation, transmission, distribution, and demand-side resources and fuels under uncertainty.

  • Design and implement techno-economic frameworks to evaluate system reliability, flexibility, and cost-effectiveness.

  • Conduct research in the area of electricity markets, power system reliability and optimization techniques and apply lessons learned to analytical approaches.

  • Conduct research on electricity market design, policy implications, and emerging technologies.

  • Propose and work on novel ideas and concepts for the next generation of power systems.

  • Translate complex quantitative results into clear, actionable insights for technical and non-technical stakeholders including translating results of simulation cases and research into clear visual representations.

  • Collaborate with cross-functional teams to deliver solutions for utilities, ISOs, and large energy consumers.

  • Assist in proposal writing including strategizing on approaches to deliver innovative solutions to clients.

  • Serve as a technical point of contact for clients, leading deepdive discussions, presenting analytical findings, and contributing to externally facing thought leadership, while supporting client satisfaction and retention in partnership with project and account leads.

Minimum Required Qualifications:

  • Master's degree in operations research, Electrical Engineering, Applied Mathematics, Computer Science, Applied/Quantitative Economics or related field AND 3+ years of experience in an energy-related field.

Equivalent combination of education and directly relevant professional experience in lieu of an advanced degree, demonstrated by 6+ years of experience in an energyrelated field.

Energy-Related Experience Includes:

  • Expertise in optimization theory, techno-economic analysis, and power system planning.

  • Hands-on experience with capacity expansion and production cost tools (e.g., PLEXOS, IPM, Encompass, GenX, etc).

  • Strong programming and modeling skills (Python, Julia, GAMS) and proficiency with commercial solvers (CPLEX, Gurobi, Xpress-MP).

  • Ability to manage large datasets and perform stochastic or scenario-based analysis.

  • Detailed-oriented approach to designing models and critically assessing results.

  • Exceptional communication skills to present technical findings to diverse audiences.

Preferred Qualifications

  • PhD in Operations Research, Electrical Engineering, Applied Mathematics, Computer Science, or related field.

  • 8+ years of experience in an energy-related field.

  • Knowledge of security-constrained economic dispatch and power system fundamentals.

  • Familiarity with econometrics, market economics, and regulatory processes.

  • Experience in academic writing, stakeholder engagement, or policy analysis.

  • Prior experience addressing energy transition and co-optimization issues or advanced academic project work in these areas.

  • Interest in acquiring knowledge and expertise in new technologies related to electricity markets, optimization and computing.

What We Value

  • Collaborative mindset-helping each team member to do their finest work.

  • Ability to translate technical concepts for broader audiences.

  • Ownership of work, proactive problem-solving, and creative thinking.

  • Strong organizational and time management skills.

  • Aptitude for clear writing and communication.

  • Demonstrated success guiding ideas, people, and projects.

  • High fluency in Microsoft Excel and PowerPoint.

  • Desire to work in a dynamic, team-oriented environment.

  • Demonstrated ability to use AI and bring creative technology solutions to our work.

Why Join Us?

  • Work on cutting-edge challenges in energy systems optimization and planning.

  • Collaborate with industry leaders shaping the future of electricity markets.

  • Competitive compensation with opportunities for growth.

Working at ICF

ICF is a global advisory and technology services provider, but we're not your typical consultants. We combine unmatched expertise with cutting-edge technology to help clients solve their most complex challenges, navigate change, and shape the future.

We can only solve the world's toughest challenges by building a workplace that allows everyone to thrive. We are an equal opportunity employer.Together, our employees are empowered to share theirexpertiseand collaborate with others to achieve personal and professional goals. For more information, please read ourEEOpolicy.

We will consider for employment qualified applicants with arrest and conviction records.

Reasonable Accommodations are available, including, but not limited to, for disabled veterans, individuals with disabilities, and individuals withsincerely heldreligious beliefs, in all phases of the application and employment process. To requestan accommodation,please emailCandidateaccommodation@icf.comand we will be happy toassist. All information you provide will be kept confidential and will be used only to the extentrequiredto provide needed reasonable accommodations.

Read more aboutworkplacediscriminationrightsor our benefit offerings which are included in theTransparency in (Benefits) CoverageAct.

Candidate AI Usage Policy

At ICF, we are committed to ensuring a fair interview process for all candidates based on their own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) tools to generate orassistwith responses during interviews (whether in-person or virtual) is notpermitted. This policy is in place tomaintainthe integrity and authenticity of the interview process.

However, we understand that some candidates may require accommodationthat involves the use of AI. Ifsuch anaccommodation is needed, candidates are instructed to contact us in advance atcandidateaccommodation@icf.com. Weare dedicated to providingthe necessary support to ensure that all candidates have an equal opportunity to succeed.


Pay Range - There are multiple factors that are considered in determining final pay for a position, including, but not limited to, relevant work experience, skills, certifications and competencies that align to the specified role, geographic location, education and certifications as well as contract provisions regarding labor categories that are specific to the position.

The pay range for this position based on full-time employment is:

$89,649.00 - $152,404.00Nationwide Remote Office (US99)