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Stochastic Modelling Jobs (NOW HIRING)

$251K - $310K/yr

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

This includes, but is not limited to, stress testing, including modelling of various stress ... Knowledge of probability theory and stochastic processes, probabilistic and machine learning ...

This includes, but is not limited to, stress testing, including modelling of various stress ... Knowledge of probability theory and stochastic processes, probabilistic and machine learning ...

Sr. Principal Systems Engineer

Irvine, CA · On-site

$143K - $286K/yr

Hands-on RF measurement experience and MATLAB RF path modelling * Experience in filter or MMIC design is considered a plus * Coursework completed in: * Stochastic processes * Electromagnetics ...

Sr. Principal Systems Engineer

Irvine, CA · On-site

$143K - $286K/yr

Hands-on RF measurement experience and MATLAB RF path modelling * Experience in filter or MMIC design is considered a plus * Coursework completed in: * Stochastic processes * Electromagnetics ...

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Stochastic Modelling information

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$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.

Vice President II, Investments

New York, NY • Hybrid

Everest Re Group
Insurance Services • 1 - 5K employees

$303K - $375K/yr

Full-time

Medical, Life, Retirement, PTO

Re-posted 23 hours ago


Job description

Title:

Vice President II, Investments

Company:

Everest Global Services, Inc.

Job Category:

Finance

Job Description:

About Everest:

Everest is a global leader in risk management, rooted in a rich, 50+ year heritage of enabling businesses to survive and thrive, and economies to function and flourish. We are underwriters of risk, growth, progress and opportunity. We are a global team focused on disciplined capital allocation and long-term value creation for all stakeholders, who care deeply about our impact on communities and the wider world.

Everest Re Group, Ltd. is seeking to hire a Vice President to serve as Head of
Investment Risk Management. This position will be based in Warren, NJ or New
York City and will report directly to our Chief Investment Officer. The Everest
investment team consists of a small group of talented individuals working in a
collegial and supportive environment, overseeing the Company's $40+billion
global investment portfolio.


The person in this role is expected to work in a highly collaborative and thoughtful manner with everyone on the investment team and colleagues in different
divisions, including working closely with the Group Chief Risk Officer, capital
modelling team, internal and external audit teams, technology, finance and
accounting, legal, tax, treasury, and others.


Key responsibilities include overseeing all aspects of investment risk management for a global P&C reinsurance company, including developing and managing key risk metrics and processes such as Value-at-Risk, surplus volatility, asset/liability management, guideline compliance, rating agency and regulatory metrics, performing portfolio stress testing, among other responsibilities.


This is a hybrid position working 3 days in the office (Warren or NYC), 2 days
remote.


Responsibilities include, but are not limited to:
Ensuring proper risk management across all investment portfolios


Chair of the Asset Risk Committee (ARC)


Monitoring portfolio asset duration positioning relative to liability durations
(ALM) across legal entities and geographies to ensure reasonable interest
rate risk tolerances.


Monitoring foreign exchange (F/X) exposures


Measuring and reporting on key deterministic and 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 Everest enterprise risk
management (ERM)


Coordinating with underwriting business units such as Financial Lines to
aggregate and monitor overlapping credit exposures across the Company

Preparing and coordinating risk-related investment reporting for senior
management, the investment committee, and the board of directors


Overseeing information systems initiatives within the Investments domain

Collaborating with other groups across the firm on transversal initiatives
Job Qualifications & Requirements:


8+ years of work experience in investment management or insurance risk
management


MBA or MS in Risk Management, Finance or Financial Engineering preferred.


CFA Designation preferred


Strong communication skills


Highly quantitative; strong Excel and modeling skills required


Ability to summarize complex ideas succinctly


Ability to collaborate with others


Strong work ethic


High ethical standards

The base salary range for this position is $303,000 - $375,000 annually. The offered rate of compensation will be based on individual education, experience, qualifications and work location. All offers include access to a variety of benefits to employees, including health insurance coverage, an employee wellness program, life and disability insurance, 401k match, retirement savings plan, paid holidays and paid time off (PTO).

What if I don't meet every requirement? At Everest we are dedicated to building an inclusive and authentic workplace. So, if you are excited about this role but your past experience doesn't align perfectly with every element in the job description, we still encourage you to apply. You may be just the right candidate for this or other roles. Please let us know if you need any accommodations throughout the application or interview process.

Our Culture

At Everest, our purpose is to provide the world with protection. We help clients and businesses thrive, fuel global economies, and create sustainable value for our colleagues, shareholders and the communities that we serve. We also pride ourselves on having a unique and inclusive culture which is driven by a unified set of values and behaviors. Clickhereto learn more about our culture.

  • Our Valuesare the guiding principles that inform our decisions, actions and behaviors. They are an expression of our culture and an integral part of how we work: Talent. Thoughtful assumption of risk. Execution. Efficiency. Humility. Leadership. Collaboration. Inclusion and Belonging.
  • Our Colleague Behaviorsdefine how we operate and interact with each other no matter our location, level or function: Respect everyone. Pursue better. Lead by example. Own our outcomes. Win together.

All colleagues are held accountable to upholding and supporting our values and behaviors across the company. This includes day to day interactions with fellow colleagues, and the global communities we serve.

Type:

Regular

Time Type:

Full time

Primary Location:

New York, NY

Additional Locations:

Remote, NJ

Everest is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion or creed, sex (including pregnancy), sexual orientation, gender identity or expression, national origin or ancestry, citizenship, genetics, physical or mental disability, age, marital status, civil union status, family or parental status, veteran status, or any other characteristic protected by law. As part of this commitment, Everest will ensure that persons with disabilities are provided reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact Everest Benefits at everestbenefits@everestglobal.com.

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