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Entry Level Mathematical Modeling Jobs (NOW HIRING)

Cortina Solutions is seeking an entry-level Modeling and Simulation (M&S) Analyst to support the ... Bachelor's degree in Engineering, Computer Science, Mathematics, or a related technical/analytical ...

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Apply modeling and simulation skills to support mission analysis and system performance evaluation ... mathematics, data science, or computer science * Experience or foundational knowledge in systems ...

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Apply modeling and simulation skills to support mission analysis and system performance evaluation ... mathematics, data science, or computer science * Experience or foundational knowledge in systems ...

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Generate mathematical models for previously un-modeled phenomena. * Analyze simulation results to ... Ideal candidate will have 1-3 years of related work experience, but entry level being considered.

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Entry Level Mathematical Modeling information

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$25K

$47.8K

$68.5K

How much do entry level mathematical modeling jobs pay per year?

As of Jul 14, 2026, the average yearly pay for entry level mathematical modeling in the United States is $47,831.00, according to ZipRecruiter salary data. Most workers in this role earn between $40,500.00 and $52,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Entry Level Mathematical Modeling professional, and why are they important?

To thrive as an Entry Level Mathematical Modeling professional, you need a solid background in mathematics, statistics, and analytical problem-solving, typically supported by a relevant bachelor's degree. Familiarity with programming languages like Python or MATLAB and experience using modeling software or statistical packages are commonly required. Strong attention to detail, effective communication, and the ability to collaborate within multidisciplinary teams make candidates stand out. These skills ensure accurate model development, clear interpretation of data, and successful integration of solutions into real-world applications.

What is the difference between Entry Level Mathematical Modeling vs Data Analyst?

AspectEntry Level Mathematical ModelingData Analyst
Required CredentialsBachelor's in Math, Engineering, or related fieldBachelor's in Statistics, Math, or related field
Work EnvironmentResearch labs, engineering firms, tech companiesBusiness, finance, healthcare sectors
Employer & Industry UsageUsed for developing models and simulationsUsed for interpreting data and generating reports
Common Search & ComparisonYesYes

Entry Level Mathematical Modeling focuses on creating mathematical representations of real-world systems, often in engineering or scientific contexts. Data Analysts interpret and visualize data to support business decisions. While both roles require strong math skills and similar educational backgrounds, their work environments and primary objectives differ.

What types of projects do entry-level mathematical modeling professionals typically work on, and how do they collaborate with other team members?

Entry-level mathematical modeling professionals often work on projects involving data analysis, simulation, or prediction using mathematical and statistical techniques. They typically assist in building and testing models under the supervision of senior analysts or scientists and collaborate closely with data scientists, engineers, and subject matter experts to refine assumptions and validate results. Communication is key, as they need to present findings and adjust models based on feedback. This role offers great exposure to interdisciplinary teams, helping new professionals develop both technical and teamwork skills.

What are entry level mathematical modeling jobs?

Entry level mathematical modeling jobs are positions suited for recent graduates or those new to the field, where individuals use mathematical techniques and computational tools to analyze real-world problems. These roles often involve building and testing models to simulate scenarios in fields like finance, engineering, biology, or data science. Professionals in these positions typically work with teams to interpret data, validate models, and provide insights that inform business or research decisions. Strong analytical skills, proficiency in mathematics, and familiarity with programming languages such as Python or MATLAB are commonly required.
More about Entry Level Mathematical Modeling jobs
What cities are hiring for Entry Level Mathematical Modeling jobs? Cities with the most Entry Level Mathematical Modeling job openings:
What are the most commonly searched types of Mathematical Modeling jobs? The most popular types of Mathematical Modeling jobs are:
Infographic showing various Entry Level Mathematical Modeling job openings in the United States as of July 2026, with employment types broken down into 69% Full Time, 15% Part Time, 8% Temporary, and 8% Nights. Highlights an 85% In-person, and 15% Remote job distribution, with an average salary of $47,831 per year, or $23 per hour.

Financial Analyst (Entry Level)

Longterm Health Management Services

Skokie, IL • Hybrid

$70K - $85K/yr

Full-time

Re-posted 20 days ago


Job description

Financial Analyst (Entry Level)

The Analyst will be an integral member of the finance team at Cascade, a private equity firm in the health care industry. Cascade is a large and growing firm with over $3b of healthcare assets under management. We have a best-in-class transaction team that has closed about $1b in transactions in the last 12 months.

The ideal candidate will evaluate and analyze new opportunities and perform monthly analysis on Cascade’s current portfolio under management. Cascade’s portfolio is rapidly expanding and mainly consists of health care real estate in the skilled nursing and assisted living space. The Analyst will gain client exposure and will develop skill sets in the fundamentals of valuation, business strategy and financial analysis. Growth opportunities include the chance to develop skills in financial modeling, underwriting, finance, deal structuring, and capital markets.

The role will perform a diverse range of duties that entails analyzing both investor-owned and owner-occupied properties across the healthcare space.

· Performing credit analysis and bench marking key performance metrics

· Assisting in the development and production of proposals and presentations

· Interacting with members of corporate management teams and financial sponsors

· The role is responsible for supporting the team in assessing new deal opportunity memorandums, closing and accurate funding of loans, performing annual reviews and assembling analytical reports as requested by management.

· Analyze new loan opportunities, property operating performance and financial health by reviewing tax returns, financial data, market data, appraisals, etc

· Due diligence support will entail gathering critical data, preparing market analyses, and property-level financial evaluations

· A commitment to meeting tight deadlines

· Other responsibilities and projects as assigned.

Monthly Responsibilities:

· Work with operator financials to determine large P&L variances. Use this data to assist Asset Managers in their discussions with operators.

· Perform ad hoc revenue and expense analysis. In addition, analyze non-financial market trends such demographics, hospital discharge data, regional income stats, etc.

· Assist Cascade underwriting department on assessing acquisition opportunities and working with seller groups to organize and package information for lenders/operators.

Benefits of Cascade:

· Health insurance, 401k match plus Unlimited PTO. Flexibility to work remote as needed; in general you’ll work from the Cascade office in Skokie, IL.

· Work with a small team and interact with all departments at Cascade - acquisitions, accounting, asset management etc.

· Office Gym and Kitchen with snacks and drinks provided.

Analyst preferred Skills:

· 0-3 years of relevant full-time work experience in finance, accounting, business, real estate or healthcare

· A BA/BS with demonstrated coursework in finance, economics, accounting, mathematics or related subjects (or analytical work experience in lieu of such coursework)

· Passion for health system strategy and finance

· Strong quantitative and analytical skills including experience in valuation, financial modeling and analysis

· Knowledge of various data mining techniques to generate business insight

· Advanced skills in Excel (macros, VBA)