ZipRecruiter

Log In

2

Full Time Mathematical Modeling Jobs in Chicago, IL

Saga Education

Middle School Math Tutor

Chicago, IL

$21/hr

In-Person; Full-time Schedule: Monday - Friday (during traditional school hours) 32-37.5 hrs a week ... Saga co-designs and collaborates to develop and implement high-quality tutoring models, offering ...

Saga Education

Middle School Math Tutor

Chicago, IL · On-site

$21/hr

In-Person; Full-time Schedule: Monday - Friday (during traditional school hours) 32-37.5 hrs a week ... Saga co-designs and collaborates to develop and implement high-quality tutoring models, offering ...

Saga Education

Middle School Math Tutor

Chicago, IL · On-site

$21/hr

In-Person; Full-time Schedule: Monday - Friday (during traditional school hours) 32-37.5 hrs a week ... Saga co-designs and collaborates to develop and implement high-quality tutoring models, offering ...

UBS

HOLT Model Development Analyst

Chicago, IL · On-site

... Mathematics, or other quantitative field. • ideally 1-5 years of relevant experience • Strong ... Salary information The indicative gross base salary range as a full-time equivalent role: • ...

previous page

Showing results 41-60

All JobsMathematical Modeling JobsFull Time Mathematical Modeling JobsFull Time Mathematical Modeling Jobs in Chicago, IL

Full Time Mathematical Modeling information

See Chicago, IL salary details

$28.3K

$58.4K

$62.3K

How much do full time mathematical modeling jobs pay per year?

As of Sep 8, 2026, the average yearly pay for full time mathematical modeling in Chicago, IL is $58,433.00, according to ZipRecruiter salary data. Most workers in this role earn between $60,800.00 and $61,300.00 per year, depending on experience, location, and employer.

What is a full time mathematical modeling?

A Full Time Mathematical Modeling job involves using mathematical techniques and computational methods to create models that represent real-world systems or processes. Professionals in this field analyze data, build mathematical representations, and use simulations to predict outcomes or solve complex problems. These models are often applied in industries such as finance, engineering, healthcare, and environmental science. Full-time roles typically require strong analytical skills, proficiency in mathematics and programming, and the ability to communicate findings to both technical and non-technical audiences.

What are the key skills and qualifications needed to thrive as a full time mathematical modeling professional?

To thrive in Full Time Mathematical Modeling, you need a strong background in mathematics, statistics, and analytical reasoning, usually supported by a relevant degree such as mathematics, engineering, or applied science. Familiarity with programming languages (such as Python, R, or MATLAB), statistical software, and data analysis tools is typically required. Strong problem-solving abilities, attention to detail, and effective communication skills help professionals translate complex models into actionable insights. These competencies are crucial for developing accurate, reliable models that inform decision-making across diverse industries.

What are some common challenges faced by professionals in full time mathematical modeling roles?

Full-time mathematical modeling professionals often encounter challenges such as translating complex real-world problems into mathematical formulations and ensuring that their models are both accurate and computationally efficient. Collaboration with domain experts is crucial, as modelers need to understand the underlying business or scientific problems deeply. Additionally, they must regularly validate and refine models based on new data or feedback, which requires strong communication skills and adaptability. Balancing precision with practical constraints, such as data limitations or computational resources, is also a frequent aspect of the role.

What is the difference between Full Time Mathematical Modeling vs Data Analyst?

AspectFull Time Mathematical ModelingData Analyst
Required CredentialsDegree in Mathematics, Applied Math, or related fieldDegree in Statistics, Data Science, or related field
Work EnvironmentResearch labs, finance, engineering firmsBusiness, marketing, healthcare sectors
Employer & Industry UsageFinance, aerospace, tech companiesRetail, healthcare, consulting firms
Common Search & Comparison IntentUnderstanding roles involving complex mathematical modelsAnalyzing data to inform business decisions

Full Time Mathematical Modeling focuses on developing and applying advanced mathematical techniques to solve complex problems, often in research or technical industries. Data Analysts interpret and visualize data to support business strategies. While both roles require strong analytical skills, Mathematical Modelers typically work on theoretical models, whereas Data Analysts focus on data interpretation and reporting.

What jobs use full time mathematical modeling?

Full time mathematical modeling is used in roles such as data scientist, quantitative analyst, operations researcher, financial analyst, and risk analyst. These jobs involve developing models to analyze data, optimize processes, or forecast outcomes, often requiring skills in programming, statistics, and specialized software like MATLAB or R.

What are popular job titles related to Full Time Mathematical Modeling jobs in Chicago, IL?

For Full Time Mathematical Modeling jobs in Chicago, IL, the most frequently searched job titles are:

What job categories do people searching Full Time Mathematical Modeling jobs in Chicago, IL look for?

The top searched job categories for Full Time Mathematical Modeling jobs in Chicago, IL are:

What cities near Chicago, IL are hiring for Full Time Mathematical Modeling jobs?

Cities near Chicago, IL with the most Full Time Mathematical Modeling job openings:

Full Time Mathematical Modeling jobs near you

Campus Quantitative Researcher, PhD (Full-Time)

Jump Trading

Chicago, IL • On-site

$300K/yr

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 15 days ago

Job description

Jump Trading Group is committed to world class research. We empower exceptional talents in Mathematics, Physics, and Computer Science to seek scientific boundaries, push through them, and apply cutting edge research to global financial markets. Our culture is unique. Constant innovation requires fearlessness, creativity, intellectual honesty, and a relentless competitive streak. We believe in winning together and unlocking unique individual talent by incenting collaboration and mutual respect. At Jump, research outcomes drive more than superior risk adjusted returns. We design, develop, and deploy technologies that change our world, fund start-ups across industries, and partner with leading global research organizations and universities to solve problems.
Our trading teams are each comprised of a dynamic group of traders, quantitative researchers, and engineers who work together to examine the global markets, seeking to understand the complexities of various traded products and exchanges. They leverage their impeccable statistical analysis and data mining skills, using the results of their research to make forecasts and develop profitable predictive trading models.
About the Role:
We build predictive models from massive datasets and develop algorithms to automatically execute trades in financial exchanges around the world.
At Jump you will have the opportunity to contribute in a blend of three roles - quant researcher / data scientist, trader, and software developer - based on your incoming skills and background, interest and curiosity, and the new skills and industry knowledge that you will learn at Jump.
You will start by completing a training program focused on enhancing your knowledge of trading, programming, and quant research. The training consists of in-house courses and trading simulation developed and delivered by experienced quant researchers, traders, and developers. We have experts from around the firm who will teach you advanced skills in a variety of areas such as trading / market mechanics, statistics, python, C++, machine learning, and our research process.
You will then work alongside our trading teams to leverage our world-class compute environment to build predictive models and devise automated trading strategies across global markets.
Other duties as assigned or needed.
Who Should Apply?
We are seeking the sharpest analytical minds from top the graduate programs. Ideal candidates have an uncommon drive to learn and improve, an entrepreneurial spirit, and strong skills in programming and/or quantitative analysis (statistics, data mining, mathematics, machine learning, etc.).
No prior knowledge of finance or trading is necessary. We will give you the training that you need.
Although we strongly value training in Computer Science and Mathematics, we are excited to meet people with exceptional achievements in any technical discipline. Recent hires include students from fields such as Electrical Engineering, Statistics, Physics, Operations Research, Neuroscience, Materials Science, and more.
If you have outstanding skills in math and programming and you are curious about the challenge of improving research with continuous feedback from competitive markets, we hope you'll apply.
Reliable and predictable availability required.
INTERNATIONAL STUDENTS are encouraged to apply. We accept students eligible for CPT/OPT and we sponsor work visas for full-time positions.
The estimated base salary for this role is $300,000 per year.
Benefits include:
  • Private Medical, Vision and Dental Insurance
  • Travel Medical Insurance
  • Group Pension Scheme
  • Group Life Assurance and Income Protection Schemes
  • Paid Parental Leave
  • Parking and Commuter Benefits

Apply