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Discrete Event Simulation Engineer Jobs in Chicago, IL

Partner cross-functionally with Operations, Manufacturing, IT, Engineering, and R&D teams to drive ... Simulation experience: discrete event simulation, process simulation (Aspen, DynoChem, SimPy), or ...

Physical AI Senior Manager

Chicago, IL · On-site

$130K - $172K/yr

... discrete event, physics, MILP) * Synthetic data generation and validation approaches for model ... simulation workflows, robotics stacks) and Siemens engineering platforms and tooling; ability to ...

Sr. RF Engineer

Schaumburg, IL · On-site

$101K - $202K/yr

Simulate circuit performance using ADS, CST, Spice, and other simulation software. * Perform RF ... Discrete RF circuit design experience required including amplifiers, transmitters, receivers ...

Simulate circuit performance using ADS, CST, Spice, and other simulation software. * Perform RF ... Discrete RF circuit design experience required including amplifiers, transmitters, receivers ...

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Showing results 1-20

Discrete Event Simulation Engineer information

See Chicago, IL salary details

$40.2K

$127.1K

$196.2K

How much do discrete event simulation engineer jobs pay per year?

As of Jul 29, 2026, the average yearly pay for discrete event simulation engineer in Chicago, IL is $127,119.00, according to ZipRecruiter salary data. Most workers in this role earn between $94,800.00 and $150,900.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Discrete Event Simulation Engineer, and why are they important?

To thrive as a Discrete Event Simulation Engineer, you need a strong background in mathematics, computer science, and systems engineering, typically supported by a relevant degree. Proficiency in simulation software such as Arena, Simul8, or AnyLogic, as well as programming languages like Python or C++, is commonly required. Analytical thinking, problem-solving abilities, and effective communication skills are crucial for interpreting data and collaborating with cross-functional teams. These skills ensure accurate modeling, efficient problem resolution, and successful implementation of simulation solutions in complex systems.

What is the difference between Discrete Event Simulation Engineer vs Operations Research Analyst?

AspectDiscrete Event Simulation EngineerOperations Research Analyst
Required CredentialsBachelor's or Master's in Engineering, Computer Science, or related field; proficiency in simulation softwareBachelor's or Master's in Mathematics, Statistics, or Industrial Engineering; strong analytical skills
Work EnvironmentEngineering teams, manufacturing, logistics, or IT sectorsConsulting firms, government agencies, or corporate planning departments
Industry UsageModeling complex systems to optimize processes and workflowsAnalyzing data to improve decision-making and resource allocation

While both roles involve analytical skills and modeling, Discrete Event Simulation Engineers focus on creating simulation models of systems to optimize performance, often using specialized software. Operations Research Analysts analyze data and develop models to support strategic decisions. The roles overlap in skills but differ in application and industry focus.

What are some common challenges faced by Discrete Event Simulation Engineers when integrating simulation models with existing business processes?

Discrete Event Simulation Engineers often encounter challenges when aligning simulation models with real-world business processes, such as ensuring data accuracy, managing stakeholder expectations, and adapting to frequently changing operational parameters. It can be difficult to gather precise input data and validate models against actual system performance. Additionally, engineers must communicate complex simulation results to non-technical stakeholders and collaborate closely with cross-functional teams to implement recommended changes. Overcoming these challenges requires strong analytical skills, effective communication, and adaptability.

What is a Discrete Event Simulation Engineer?

A Discrete Event Simulation Engineer is a professional who designs, develops, and implements simulation models that represent real-world systems as a series of distinct events occurring over time. These engineers use specialized software and analytical methods to model complex processes such as manufacturing lines, logistics networks, or service systems. Their work helps organizations optimize performance, test scenarios, and make data-driven decisions without disrupting actual operations. Skills in programming, systems analysis, and mathematics are essential for this role.
What are popular job titles related to Discrete Event Simulation Engineer jobs in Chicago, IL? For Discrete Event Simulation Engineer jobs in Chicago, IL, the most frequently searched job titles are:
What cities near Chicago, IL are hiring for Discrete Event Simulation Engineer jobs? Cities near Chicago, IL with the most Discrete Event Simulation Engineer job openings:
Infographic showing various Discrete Event Simulation Engineer job openings in Chicago, IL as of July 2026, with employment types broken down into 89% Full Time, and 11% Contract. Highlights an 100% In-person job distribution, with an average salary of $127,119 per year, or $61.1 per hour.
Quantitative Operations Associate - Volume & Capacity Modeler-Global Operations

Quantitative Operations Associate - Volume & Capacity Modeler-Global Operations

Bank of America

Chicago, IL

Full-time

PTO

Posted 15 days ago


Bank Of America rating

8.2

Company rating: 8.2 out of 10

Based on 521 frontline employees who took The Breakroom Quiz

51st of 170 rated banks


Job description

Job Description:

At Bank of America, we are guided by a common purpose to help make financial lives better through the power of every connection. We do this by driving Responsible Growth and delivering for our clients, teammates, communities and shareholders every day.

Being a Great Place to Work is core to how we drive Responsible Growth. This includes our commitment to being an inclusive workplace, attracting and developing exceptional talent, supporting our teammates' physical, emotional, and financial wellness, recognizing and rewarding performance, and how we make an impact in the communities we serve.

Bank of America is committed to an in-office culture with specific requirements for office-based attendance and which allows for an appropriate level of flexibility for our teammates and businesses based on role-specific considerations.

At Bank of America, you can build a successful career with opportunities to learn, grow, and make an impact. Join us!

Job Description:
Responsible for developing quantitative/analytic models and applications in support of the firm's risk management effort. This role focuses on the development of operations/data management policies, strategies and operational guidelines for the organization's various financial products as they relate to the analysis, tracking, and reporting of various risk metrics. This role often possesses an advanced degree in physics, applied mathematics, statistics/probability or another heavy quantitative discipline. Quantitative analytic staff is focused on and responsible for the development of the theory and mathematics behind various models. Individual Contributor and reports to Quant Operations Manager

Job Summary

Global Operations Management Reporting & Analytics is looking for a motivated individual with strong quantitative skills and experience with time-series forecasting, capacity planning, simulation modeling, and/or operations research. This individual will be responsible for developing and maintaining strategic volume forecasting and capacity planning models with the goal of maintaining optimal staffing levels across Global Operations. In addition, the position will assist with efforts to ensure models adhere to Model Risk Management (MRM) standards. The ideal candidate will have a keen eye for detail, a strong sense for modeling complex operational systems, and excellent verbal and written communication skills. Responsibilities include:

  • Develop and maintain volume forecasting, capacity planning, and resource optimization models
  • Help modernize existing volume forecasting and capacity models using advanced predictive modeling, simulation and optimization techniques
  • Assist in driving volume and capacity modeling consistency and innovation across the team
  • Routinely partner with the Front Line Units (FLUs) to generate best in class outcomes
  • Conduct routine model production and performance presentations with executive leadership
  • Evaluate new opportunities and implement enhancements to current capacity model inputs, processes, and outputs
  • Help with documentation and other efforts to adhere to Model Risk Management (MRM) guidelines

Required Skills:

  • Bachelor's degree in Statistics, Applied Economics, Industrial Engineering, Mathematics, Operations Research, Analytics, Finance or other STEM field
  • 2+ years of experience in quantitative roles modeling complex systems
  • Fundamental understanding of linear regression and time-series modeling, discrete event simulation, and optimization techniques, through education or professional experience
  • Proficient in MS Office, particularly Excel
  • Experience with SAS, Python, R, or similar statistical software
  • Experience with Arena or similar discrete event simulation software
  • Experience with SAS OR, GAMS, XPRESS, CPLEX, or similar optimization software
  • Ability to work in a team-oriented environment with strong aptitude for problem solving and collaboration
  • Strong communication and interpersonal skills - specifically the ability to communicate complex ideas in a clear and concise manner to key stakeholders
  • Natural curiosity and drive to answer important business questions
  • High aptitude for self-motivation and self-determined project work in a fast-paced and rapidly changing environment

Desired Skills:

  • Master's degree in Statistics, Applied Economics, Industrial Engineering, Mathematics, Operations Research, Analytics, Finance or other STEM field
  • Prior operational volume forecasting, capacity planning, or financial planning experience
  • Experience with Tableau or other data visualization software
  • Data mining experience using SQL/SAS querying
  • Prior Banking industry analytics and modeling experience, specifically with models that adhere to standards set by a risk management governing body

Skills:

  • Analytical Thinking
  • Business Intelligence
  • Data Modeling
  • Data Visualization
  • Data and Trend Analysis
  • Attention to Detail
  • Collaboration
  • Data Management
  • Data Mining
  • Presentation Skills
  • Consulting
  • Problem Solving
  • Risk Management
  • Stakeholder Management
  • Technical Documentation

Shift:

1st shift (United States of America)

Hours Per Week:

40

Pay Transparency details

US - IL - Chicago - 540 W Madison St - Bank Of America Plaza (IL4540)Pay and benefits informationPay range$84,600.00 - $132,000.00 annualized salary, offers to be determined based on experience, education and skill set.Discretionary incentive eligibleThis role is eligible to participate in the annual discretionary plan. Employees are eligible for an annual discretionary award based on their overall individual performance results and behaviors, the performance and contributions of their line of business and/or group; and the overall success of the Company.BenefitsThis role is currently benefits eligible. We provide industry-leading benefits, access to paid time off, resources and support to our employees so they can make a genuine impact and contribute to the sustainable growth of our business and the communities we serve.

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Pay

Benefits

Hours and flexibility

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About Bank Of America

Sourced by ZipRecruiter

At Bank of America, we are guided by a common purpose to help make financial lives better through the power of every connection. Responsible Growth is how we run our company and how we deliver for our clients, teammates, communities and shareholders every day. One of the keys to driving Responsible Growth is being a great place to work for our teammates around the world. We're devoted to being a diverse and inclusive workplace for everyone. We hire individuals with a broad range of backgrounds and experiences and invest heavily in our teammates and their families by offering competitive benefits to support their physical, emotional, and financial well-being.

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

Charlotte, NC, US

Year founded

1998

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