2

Remote Monte Carlo Simulation Jobs in Illinois (NOW HIRING)

Senior Investment Analyst

Chicago, IL · On-site +1

$116K - $125K/yr

Remote work requests will be considered consistent with company policy. Job Requirements: This ... Monte Carlo methods. Expertise in creating fundamental equity indices and fundamental ratios.

Remote Monte Carlo Simulation information

What is a remote Monte Carlo simulation?

A Remote Monte Carlo Simulation job involves using probability and statistical models to predict outcomes and assess risks in various scenarios, all while working from a remote location. Professionals in this role typically use specialized software to run large numbers of simulations, analyze data, and help organizations make data-driven decisions. These jobs are common in fields such as finance, engineering, physics, and insurance. Working remotely allows for flexibility and access to global opportunities, as most tasks can be performed using computers and online collaboration tools.

What are the key skills and qualifications needed to thrive in remote Monte Carlo simulation?

To excel as a Remote Monte Carlo Simulation Specialist, you need a strong background in mathematics, statistics, and computational modeling, often supported by a relevant degree in fields such as engineering, physics, or applied mathematics. Proficiency with programming languages like Python or MATLAB, as well as familiarity with simulation software and tools such as @Risk or Crystal Ball, is typically required. Strong analytical thinking, attention to detail, and effective remote communication are crucial soft skills for this role. These competencies ensure accurate simulation results, facilitate collaboration across distributed teams, and enable effective problem-solving in complex modeling scenarios.

What are some common challenges faced by professionals working in remote Monte Carlo simulation roles, and how can they be addressed?

Professionals in remote Monte Carlo simulation roles often encounter challenges such as coordinating with geographically dispersed teams, ensuring access to high-performance computing resources, and effectively communicating complex results to stakeholders. Overcoming these hurdles typically involves utilizing collaborative platforms for code sharing and documentation, scheduling regular virtual meetings to align project goals, and leveraging cloud-based computing solutions. Building strong communication skills and maintaining clear documentation are essential for remote team success in this field.

What are the most commonly searched types of Monte Carlo Simulation jobs in Illinois?

The most popular types of Monte Carlo Simulation jobs in Illinois are:

What are popular job titles related to Remote Monte Carlo Simulation jobs in Illinois?

For Remote Monte Carlo Simulation jobs in Illinois, the most frequently searched job titles are:

What job categories do people searching Remote Monte Carlo Simulation jobs in Illinois look for?

The top searched job categories for Remote Monte Carlo Simulation jobs in Illinois are:

Infographic showing various Remote Monte Carlo Simulation job openings in Illinois as of August 2026, with employment types broken down into 1% As Needed, 87% Full Time, 10% Part Time, and 2% Contract. Highlights an 83% Physical, 4% Hybrid, and 13% Remote job distribution.

Senior Investment Analyst

Chicago, IL • On-site, Remote


Morningstar, Inc.
Health Care and Social Assistance • 1 - 5K employees

6.7

Company rating: 6.7 out of 10

Based on 30 frontline employees who took The Breakroom Quiz

64th of 245 rated social care providers

People enjoy working here

Recommended by students

Recommended by parents


$116K - $125K/yr

Full-time

Medical, Dental, Life, Retirement

Re-posted 28 days ago


Job description

Job Duties:


It is expected the candidate can use these in conjunction with a deep understanding of financial markets to estimate long-term variables to generate expected returns (10%). Strong knowledge of financial theory, especially long-run cash flow models and present value relations, and the ability to translate stock-based theories and models to broader asset classes (10%). Expert in estimating equity expected returns using supply side framework, with proven contributions to this area (15%). Knowledge fundamental demand side equity models, with the ability to use present value relations to decompose risk premiums into supply side estimations of the equity risk premiums (10%). Expert in equity index aggregation methodologies, including ability to construct fundamentals based on unique Morningstar data and variables. This includes strong knowledge of industry best practices and techniques for producing robust aggregate data to use in our investment processes (15%). Expert knowledge in econometrics techniques and the ability to develop complex models. This includes, but is not limited to, strong knowledge of multivariate unit roots and structural break, with the expectation of proven contribution to this body of knowledge. Other areas with expected strengths include Markov regime switching models, trend and cycle decomposition, and estimation of latent variables (10%). Expert in time series, cross sectional and panel methodologies for conducting back test studies and research (5%). Strong knowledge of structural macroeconomics, including ability to identify and analyze the effects of different types of economic shocks, such as supply and demand shocks, using SVAR models (5%). Strong knowledge of fixed income models and term structure models and the ability to apply these concepts to equities and other asset classes (5%). Strong knowledge of foreign exchange models, including purchasing power parity models (5%). Understanding of cross asset class interactions and ability to model joint events using multivariate distributions. This includes the ability to create simulations using copulas and marginal distributions (5%). Strong understanding of portfolio variance decomposition and the ability to impose diagonal restrictions to capture bottom-up risk information from Morningstar equity analysts (5%). ***Remote work requests will be considered consistent with company policy.
Job Requirements:


This position requires a Bachelor's degree in Business Analytics, Finance, Economics, Mathematics, or a related analytical field, or foreign equivalent and 3 years of relevant investment experience in Associate Analyst (Multi Asset Research), Financial Product Specialist, or related position. Also, must have Chartered Financial Analyst (CFA) credential.
This position also requires experience with investments, especially expertise in and knowledge of financial theory and the ability to link this to empirical and practical applications, including estimating expected returns and asset allocation. Experience with advanced return and fundamental decompositions using knowledge of asset pricing theory. Experience of advanced econometrics and use in daily work flow. Experience using Python, R, Matlab, Morningstar Direct, Morningstar Direct API in Python, Pitchbook, Office 365 tools relevant to industry database. Experience in creating expected return models and estimates for public markets. Experience in creating expected return models for assets with non-observable returns. Experience in estimating latent variables, including but not limited to state space models and Bayesain Markov Chain Monte Carlo methods. Expertise in creating fundamental equity indices and fundamental ratios. Expertise in asset class and security level risk estimates and decompositions using eigenvalues and eigenvectors. Experience and understanding of economic competitive forces, especially quantitative measurement and modelling dynamics and fade rates of competitive advantages. Experience with communicating business goals and functional requirements effectively to any audience within the enterprise. *** Will accept any suitable combination of education, training, and experience.
Must possess unrestricted right to work in the U.S. in this position

Base Salary Range: $116,979 - 125,271


Morningstar Investment Management is an equal opportunity employer.

"#LI-DNI"

Compensation and Benefits

At Morningstar we believe people are at their best when they are at their healthiest. That's why we champion your wellness through a wide range of programs that support all stages of your personal and professional life. Here are some examples of the offerings we provide:

  • Financial Health

    • 100% 401k match up to 6% of salary

    • Stock Ownership Potential

    • Company provided life insurance - 1x salary + commission

  • Physical Health

    • Comprehensive health benefits(medical/dental/vision)including potential premium discounts and company-provided HSA contributions (up to $500-$2,000 annually) for specific plansand coverages

    • Additional medical Wellness Incentives - up to $300-$600 annual

    • Company-provided long- and short-termdisabilityinsurance

  • Emotional Health

    • Trust-Based Time Off

    • 6-week Paid Sabbatical Program

    • 6-Week Paid Family Caregiving Leave

    • Competitive 8-24 Week Paid Parental Leave

    • Adoption Assistance

    • Leadership Coaching & FormalMentorshipOpportunities

    • Annual Flex Stipend - $1000 annually to cover personal education & well-being expenses

    • Tuition Reimbursement

  • Social Health

    • Charitable Matching Gifts program

    • Dollars for Doers volunteer program

    • Paid volunteering days

    • 15+ Employee Resource & Affinity Groups

Morningstar's hybrid work environment gives you the opportunity to collaborate in-person each week as we've found that we're at our best when we're purposely together on a regular basis. In most of our locations, our hybrid work model is four days in-office each week. A range of other benefits are also available to enhance flexibility as needs change. No matter where you are, you'll have tools and resources to engage meaningfully with your global colleagues.

U30_MstarAssocEur Morningstar Investment Management Europe Ltd. Legal Entity


What MorningStar Senior Living employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom