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Stochastic Processes Jobs (NOW HIRING)

... 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 ...

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

Commodity Quantitative Strategist

Houston, TX · On-site

$116K - $149K/yr

The pricing methods use a combination of emerging techniques/methods, including data science, fundamental analysis, optionality, and stochastic processes, to develop forward views used for the ...

Probability, stochastic processes, and statistics • Solid understanding of: Optimization techniques (LP, MIP, heuristics, metaheuristics) • Experience working with large datasets and building ...

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 ...

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Stochastic Processes information

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How much do stochastic processes jobs pay per year?

As of Jun 29, 2026, the average yearly pay for stochastic processes in the United States is $84,057.00, according to ZipRecruiter salary data. Most workers in this role earn between $55,000.00 and $97,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Stochastic Processes position, and why are they important?

To excel in a Stochastic Processes role, you need a strong background in probability theory, mathematical modeling, statistical analysis, and typically a degree in mathematics, statistics, or a related quantitative field. Proficiency with tools such as MATLAB, R, Python, or specialized simulation software, as well as relevant certifications in data analysis or quantitative finance, is often required. Strong problem-solving abilities, attention to detail, and the ability to communicate complex concepts clearly are key soft skills in this field. These skills are vital to effectively analyze random systems, model uncertainty in real-world scenarios, and help guide data-driven decision-making across numerous industries.

What is a Stochastic Processes job?

A Stochastic Processes job typically involves working with mathematical models that incorporate randomness and uncertainty. Professionals in this field analyze and apply probabilistic methods to various domains, such as finance, engineering, machine learning, and operations research. Common tasks include developing statistical models, simulating random systems, and optimizing decision-making under uncertainty. These roles often require expertise in probability theory, programming, and statistical analysis.

What kinds of projects or problems do professionals working in stochastic processes typically address?

Professionals specializing in stochastic processes commonly tackle projects that involve modeling and predicting random systems, such as financial markets, inventory management, telecommunications networks, or biological processes. Typical responsibilities include developing and testing mathematical models, running simulations, analyzing large datasets, and providing actionable insights to support strategic business decisions. They often collaborate closely with data scientists, engineers, or business analysts depending on the industry, and their work can have a direct impact on optimizing operations or managing risk. Project scopes can range from short-term analyses to longer-term research and development initiatives, offering a dynamic and intellectually stimulating work environment.

More about Stochastic Processes jobs
What are the most commonly searched types of Stochastic Processes jobs? The most popular types of Stochastic Processes jobs are:
Infographic showing various Stochastic Processes job openings in the United States as of June 2026, with employment types broken down into 100% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $84,057 per year, or $40.4 per hour.
Quantitative Analyst

Quantitative Analyst

Collabera

Charlotte, NC • On-site

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 13 days ago


Job description

Position Details: Client: Banking Job Title: Senior Quant Developer / Quantitative Modeler Location: Hybrid role in Charlotte, NC 28202 (3 day onsite) Schedule: Mon-Fri: Basic Business hours Duration: 12 Months + Possible Extension Start Date: ASAP - Apply Now ! Pay-range: 75-80/hr Job Description: This appears to be a Bank - Quantitative Analytics Specialist 4 (Contingent) opening focused on Counterparty Credit Risk (CCR) modeling, specifically cross-margin methodology development within Capital Markets. Role Focus Area: Counterparty Credit Risk modeling (not pricing models) Cross-margin methodologies in prime brokerage/derivatives businesses Quantitative model development and enhancement Heavy Python development Market risk modeling (VaR) without CCR exposure.

Pricing model development without margin methodology experience. Pure Python development without quantitative finance. Data science backgrounds lacking derivatives knowledge.

Skill Weighting (Very Important): 1.Cross-Margin Expertise – 50% Prime Brokerage margin methodologies Cross-product margin offsets Clearing/CCP margin concepts Counterparty exposure management Mathematics & Quantitative Modeling – 30% Probability & Statistics 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 quantitative analytics Counterparty Credit Risk experience Prime Brokerage or Clearing experience Cross-margin methodology knowledge Advanced Python development skill Strong mathematical background (Statistics, Stochastic Calculus, Financial Engineering) Experience with exposure models (PFE/EPE/EAD) Note: The Company offers the following benefits for this position, subject to applicable eligibility requirements: medical insurance, dental insurance, vision insurance, 401(k) retirement plan, life insurance, long-term disability insurance, short-term disability insurance, paid parking/public transportation, (paid time , paid sick and safe time , hours of paid vacation time, weeks of paid parental leave, paid holidays annually - AS Applicable)