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Stochastic Modelling Jobs (NOW HIRING)

Sr. Data Scientist, Ops Research

Irving, TX · On-site

$136K - $227K/yr

... modelling. The candidate should possess the ability to develop statistical models and derive ... Demonstrated experience in developing stochastic process simulations to guide business decisions ...

Sr. Data Scientist, Ops Research

Irving, TX · On-site

$136K - $227K/yr

... modelling. The candidate should possess the ability to develop statistical models and derive ... Demonstrated experience in developing stochastic process simulations to guide business decisions ...

Sr. Data Scientist, Ops Research

Irving, TX · On-site

$136K - $227K/yr

... modelling. The candidate should possess the ability to develop statistical models and derive ... Demonstrated experience in developing stochastic process simulations to guide business decisions ...

Strong technical pricing skills with knowledge of exposure-based pricing, experience modelling, catastrophe modelling and stochastic simulation techniques. SUPERVISORY RESPONSIBILITIES This role does ...

Strong technical pricing skills with knowledge of exposure-based pricing, experience modelling, catastrophe modelling and stochastic simulation techniques. SUPERVISORY RESPONSIBILITIES This role does ...

$251K - $310K/yr

... system modelling) , optimization (gradient descent, linear algebra, filtering), control (linear, state space, stochastic, feedback control), operations research (constraint optimization, Linear ...

New

Vice President II, Investments

New York, NY · Hybrid

$303K - $375K/yr

... stochastic risk metrics such as VAR and t-VAR at various confidence intervals Coordinating with Group Chief Risk Officer (CRO) regarding investment controls and modelling to align with overall ...

... stochastic risk metrics such as VAR and t-VAR at various confidence intervals Coordinating with Group Chief Risk Officer (CRO) regarding investment controls and modelling to align with overall ...

... stochastic risk metrics such as VAR and t-VAR at various confidence intervals Coordinating with Group Chief Risk Officer (CRO) regarding investment controls and modelling to align with overall ...

Showing results 21-40

Stochastic Modelling information

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$35

$65

$116

How much do stochastic modelling jobs pay per hour?

As of Sep 9, 2026, the average hourly pay for stochastic modelling in the United States is $65.77, according to ZipRecruiter salary data. Most workers in this role earn between $45.43 and $100.00 per hour, depending on experience, location, and employer.

What is stochastic modelling?

Stochastic modelling is a mathematical approach that incorporates randomness and uncertainty into models to predict and analyze complex systems or processes. Unlike deterministic models, which produce the same output for a given input, stochastic models use probability distributions to represent the likelihood of various outcomes. These models are widely used in fields such as finance, engineering, biology, and insurance to forecast events, assess risks, and make informed decisions under uncertainty. Stochastic modelling helps organizations better understand potential future scenarios and prepare for variability in real-world situations.

What types of projects or industries commonly employ stochastic modellers, and how does the role typically interact with multidisciplinary teams?

Stochastic modellers are frequently employed in industries such as finance, insurance, energy, engineering, and pharmaceuticals, where uncertainty and risk must be quantified and managed. In these settings, stochastic modellers often collaborate closely with data scientists, engineers, subject matter experts, and business stakeholders to develop models that inform decision-making. The role involves translating complex real-world processes into probabilistic models, validating results, and communicating findings to both technical and non-technical audiences. Being able to work effectively within multidisciplinary teams is essential, as model development and implementation often require input from various fields.

What are the key skills and qualifications needed to thrive as a stochastic modeller, and why are they important?

To thrive as a Stochastic Modeller, you need a strong background in mathematics, probability theory, and statistical analysis, often supported by an advanced degree in a quantitative field. Proficiency with programming languages such as Python, R, or MATLAB, and experience with statistical and simulation software are typically required. Analytical thinking, problem-solving abilities, and effective communication help translate complex models into actionable insights for stakeholders. These skills are essential for accurately modeling uncertainty, informing data-driven decisions, and delivering reliable forecasts in various industries.

What is the difference between Stochastic Modelling vs Data Analyst?

AspectStochastic ModellingData Analyst
Required CredentialsMathematics, Statistics, or Quantitative degrees; often advanced certificationsStatistics, Data Science, or related degrees; certifications like CAP or Microsoft Certified
Work EnvironmentResearch labs, finance, insurance, or academia; focus on model developmentBusiness settings, tech companies, finance; focus on data interpretation and reporting
Industry UsageFinancial modeling, risk assessment, simulationBusiness analytics, market research, operational insights

Stochastic Modelling involves creating complex mathematical models to simulate random processes, often requiring advanced quantitative skills. Data Analysts focus on interpreting data to inform business decisions, using statistical tools. While both roles work with data, stochastic modelling emphasizes model development and simulation, whereas data analysis centers on data interpretation and reporting.

What other helpful pages are available for Stochastic Modelling?

Other pages related to Stochastic Modelling:

Infographic showing various Stochastic Modelling job openings in the United States as of August 2026, with employment types broken down into 93% Full Time, 3% Part Time, and 4% Contract. Highlights an 81% Physical, 9% Hybrid, and 10% Remote job distribution, with an average salary of $136,810 per year, or $65.8 per hour.

Junior Energy Quantitative Analyst

Houston, TX • On-site

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 8 days ago


Key responsibilities

  • Support senior quants and trading desks by applying quantitative methods to develop and maintain models used for energy derivatives valuation and physical asset optimization.

  • Research and implement valuation and optimisation models for physical assets such as power plants, storage facilities, and renewable energy projects.

  • Contribute to the industrialisation of existing pricing, risk, and data analysis tools for front‑office platforms and support scenario analysis and simulations to aid trading strategy and decision making.


Job description

We are seeking a motivated early career professional to join our team as a Junior Energy Quantitative Analyst, with a focus on derivatives pricing and physical asset modelling within our Commodities and Global Markets group. This role will be based in our Houston office.

As part of the Quantitative Strategist team, you will support senior quants and trading desks by applying quantitative methods to develop and maintain models used for energy derivatives valuation and physical asset optimization. The role is designed to build foundational experience while contributing to revenue generation, operational efficiency, and risk management.

Success in this role will be driven by a strong interest in quantitative problem solving, a desire to learn innovative modelling techniques, and the ability to deliver accurate, scalable solutions. Effective communication skills, intellectual curiosity, and the ability to collaborate with traders and other stakeholders in a fast paced environment are essential.

At Macquarie, our advantage is bringing together diverse people and empowering them to shape all kinds of possibilities. We’re a global financial services group operating in 31 markets and with 56 years of unbroken profitability. You’ll be part of a friendly and supportive team where everyone - no matter what role - contributes ideas and drives outcomes.

What role will you play?

Provide quantitative support to traders, structurers, and risk managers and assist in the development and maintenance of production‑grade quantitative models and analytical tools. Research and implement valuation and optimisation models for physical assets such as power plants, storage facilities, and renewable energy projects. Contribute to the industrialisation of existing pricing, risk, and data analysis tools for front‑office platforms and support scenario analysis and simulations to aid trading strategy and decision making.

What you offer
  • 0–3 years of experience in a quantitative, analytical, or financial modelling role; experience in energy markets is a plus.
  • A strong academic background with a B.S., M.S., or Ph.D. in a quantitative discipline (e.g., mathematics, physics, engineering, computer science, or related field).
  • Proficiency in at least one programming language such as Python, with exposure to C++, SQL, or similar languages preferred.
  • Foundational knowledge of energy markets (power and/or gas) and quantitative techniques, including numerical methods, optimisation, or stochastic processes.
  • Strong analytical and problem‑solving skills, attention to detail, and the ability to work collaboratively in a fast‑paced environment.
  • This is an excellent opportunity to develop deep quantitative and commercial expertise as part of a global team closely aligned with revenue‑generating activities.
What we offer

At Macquarie, you’re empowered to shape a career that’s rewarding in all the ways that matter most to you.

  • 1 wellbeing leave day per year and a minimum of 25 days of annual leave
  • 20 weeks’ paid parental leave for primary caregivers along with 12 days of paid transition leave upon return to work and 6 weeks’ paid leave for secondary caregivers
  • 2 days of paid volunteer leave and donation matching
  • Benefits and initiatives to support physical, mental and financial wellbeing such as medical, prescription drug, dental, and vision insurance; health savings account and dependent day care savings account; life insurance, disability, and other insurance plans; 401(k) and short/long term disability
  • Access to an Employee Assistance Program, a robust behavioural health network with counselling and coaching services
  • Access to a wide range of learning and development opportunities, including reimbursement for professional membership or subscription
  • Recognition and service awards
  • Hybrid and flexible working arrangements, dependent on role
  • Reimbursement for work‑from‑home equipment
About Commodities and Global Markets

Commodities and Global Markets is a global business offering capital and financing, risk management, market access, physical execution and logistics solutions to its diverse client base across Commodities, Financial Markets and Asset Finance.

Empowering all kinds of bright and driven people

We are committed to providing an inclusive environment for all that values and respects different experiences, skillsets and perspectives. Macquarie provides access to opportunities for all individuals regardless of race, colour, religion, sex, sexual orientation, national origin, age, disability, protected veteran status, genetic information, marital status, gender identity or any other characteristic or circumstance.
We provide reasonable accommodation to individuals who may need support during the recruitment process and employment. If you require an accommodation, please let us know during the application process.

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