ZipRecruiter

Log In

2

Remote Stochastic Modeling Jobs (NOW HIRING)

BNY

Vice President, Model Risk Management

Los Angeles, CA · On-site +1

$129.50K - $179K/yr

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 ...

Adidev Technologies Inc

Data Science

San Francisco, CA · Remote

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

Adidev Technologies Inc

DATA SCIENTIST

Austin, TX · Remote

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

Adidev Technologies Inc

Data Science

San Francisco, CA · Remote

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

next page

Showing results 1-20

People also search for

All JobsRemote Stochastic Modeling Jobs

Remote Stochastic Modeling information

See salary details

$22

$40

$76

How much do remote stochastic modeling jobs pay per hour?

As of Jun 3, 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 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.

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.

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 May 2026, with employment types broken down into 83% Full Time, and 17% Part Time. Highlights an 100% Remote job distribution, with an average salary of $83,896 per year, or $40.3 per hour.
Remote Quantitative Analyst (Finance)

Remote Quantitative Analyst (Finance)

Turing

Vancouver, WA • On-site, Remote

$100/hr

Full-time

Posted 12 days ago

Job description

About Turing

Based in San Francisco, California, Turing is the world's leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in coding, reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L.

Role Overview

Turing is looking for Quantitative Finance professionals to work with our researchers to improve the performance of AI models. You will apply your expertise in quantitative modelling, statistical analysis, algorithmic strategy development, and financial engineering to evaluate and train AI systems. If you enjoy solving complex quantitative problems and are interested in shaping the future of AI in finance, please apply. No prior AI experience is required.

What Does Day-to-Day Look Like

  • Evaluate LLM models on quantitative finance topics such as stochastic modelling, derivatives pricing, statistical arbitrage, and risk quantification.
  • Create rubrics to assess model capabilities on tasks like options pricing, Monte Carlo simulation, factor model construction, and back-testing methodologies.
  • Collaborate with AI researchers and fellow finance experts to shape training methods, evaluation strategies, and benchmarks.

Requirements

  • 2+ years of experience in Quantitative Finance (e.g., quant trading, quant research, financial engineering, or risk modelling).
  • Strong grasp of stochastic calculus, statistical modeling, derivatives pricing theory.
  • Excellent English written communication.

Bonuses (Not at All Necessary)

  • CFA, FRM, CQF, Ph.D. in a quantitative field, or MBA in Finance.

Perks of Freelancing with Turing

  • Work on the cutting edge of AI and finance.
  • Fully remote and flexible work environment.
  • Competitive hourly compensation of ~$100+/hour depending on experience.

Offer Details

  • Commitment: Flexible, 10–30 hrs/week.
  • Duration: ~1 month, with the possibility of extension based on performance and project needs.

After applying, you'll receive a login link by email. Please complete your profile promptly so we can proceed with your application.

We're actively hiring for this role. If you know exceptional talent, please refer them at turing.com/referrals and earn money for successful referrals.

Apply