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Mathematical Modeler Jobs (NOW HIRING)

US Department of the Air Force

$63K/yr

Examples of specialized experience include broad areas of classical and modern higher mathematics to originate and develop improved and/or new mathematical models in cyber systems, one or more ...

US Department of the Air Force

$63K/yr

Examples of specialized experience include broad areas of classical and modern higher mathematics to originate and develop improved and/or new mathematical models in cyber systems, one or more ...

US Department of the Air Force

$63K/yr

Examples of specialized experience include broad areas of classical and modern higher mathematics to originate and develop improved and/or new mathematical models in cyber systems, one or more ...

US Department of the Air Force

$63K/yr

Examples of specialized experience include broad areas of classical and modern higher mathematics to originate and develop improved and/or new mathematical models in cyber systems, one or more ...

US Department of the Air Force

$63K/yr

Examples of specialized experience include broad areas of classical and modern higher mathematics to originate and develop improved and/or new mathematical models in cyber systems, one or more ...

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Mathematical Modeler information

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$11K

$105.5K

How much do mathematical modeler jobs pay per year?

As of Jul 16, 2026, the average yearly pay for mathematical modeler in the United States is $97,166.00, according to ZipRecruiter salary data. Most workers in this role earn between $90,000.00 and $105,000.00 per year, depending on experience, location, and employer.

What types of projects do mathematical modelers typically work on, and how do they collaborate with other teams?

Mathematical modelers often work on projects that require analyzing complex data and developing simulations or predictive models for fields like finance, healthcare, engineering, or environmental science. They regularly collaborate with cross-functional teams, such as data scientists, engineers, and domain experts, to ensure models are accurate and aligned with project goals. Effective communication is key, as modelers must explain their findings and model limitations to non-technical stakeholders. This collaborative environment helps ensure that the models developed are practical, actionable, and meet the needs of the organization.

What are Mathematical Modelers?

Mathematical Modelers are professionals who use mathematical techniques and computational tools to create models that represent real-world systems, processes, or phenomena. These models help predict outcomes, solve problems, and inform decision-making in fields such as engineering, finance, biology, and environmental science. Mathematical Modelers typically analyze data, develop algorithms, and validate models to ensure their accuracy and usefulness. Their work is essential for research, product development, and policy planning across various industries.

What is the highest paying job in math?

In the field of mathematical modeling, roles such as quantitative analysts, data scientists, and operations research directors tend to have the highest salaries, often exceeding six figures. These positions typically require advanced degrees, strong programming skills, and expertise in statistical and computational tools.

How hard is math modeling?

Math modeling as a Mathematical Modeler involves applying advanced mathematical techniques to solve real-world problems, requiring strong analytical skills and knowledge of programming tools like MATLAB or Python. It often demands a solid understanding of calculus, linear algebra, and statistics, and can be challenging depending on the complexity of the problem and the level of detail required. Success in this field typically involves continuous learning and problem-solving experience.

What is the difference between Mathematical Modeler vs Data Analyst?

AspectMathematical ModelerData Analyst
Required CredentialsDegree in Mathematics, Statistics, or related fieldDegree in Statistics, Data Science, or related field
Work EnvironmentResearch labs, finance, engineering, or tech companiesBusiness, marketing, finance, or healthcare sectors
Employer & Industry UsageUsed for developing complex models to predict or optimize systemsUsed for interpreting data to inform business decisions

While both roles involve working with data and quantitative methods, Mathematical Modelers focus on creating complex mathematical models to simulate and predict systems, often requiring advanced mathematical skills. Data Analysts primarily interpret existing data sets to generate insights and support decision-making. The roles overlap in skills but differ in scope and application.

How to become a mathematical modeller?

To become a mathematical modeller, you typically need a bachelor's degree in mathematics, engineering, or a related field, followed by advanced training or a master's degree for specialized roles. Strong skills in calculus, statistics, programming (such as Python or MATLAB), and experience with modeling software are essential, along with problem-solving abilities and domain knowledge relevant to the industry you wish to work in.

What are the key skills and qualifications needed to thrive as a Mathematical Modeler, and why are they important?

To thrive as a Mathematical Modeler, you need strong analytical skills, a solid background in mathematics or applied mathematics, and typically a degree in a related field such as mathematics, engineering, or physics. Proficiency with programming languages (such as Python, R, or MATLAB), statistical software, and modeling tools is essential. Critical thinking, creativity, and effective communication set standout professionals apart in this field. These skills and qualities are crucial for developing accurate models, solving complex real-world problems, and clearly conveying findings to diverse stakeholders.

What do mathematical modelers do?

Mathematical modelers develop and analyze mathematical representations of real-world systems to solve complex problems. They use techniques such as calculus, statistics, and computer simulations, often working with specialized software to create models that predict outcomes or optimize processes.
More about Mathematical Modeler jobs
What cities are hiring for Mathematical Modeler jobs? Cities with the most Mathematical Modeler job openings:
What states have the most Mathematical Modeler jobs? States with the most job openings for Mathematical Modeler jobs include:
What job categories do people searching Mathematical Modeler jobs look for? The top searched job categories for Mathematical Modeler jobs are:
Mathematical Modeler jobs near you
Infographic showing various Mathematical Modeler job openings in the United States as of July 2026, with employment types broken down into 66% Full Time, 33% Part Time, and 1% Nights. Highlights an 94% Physical, and 6% Remote job distribution, with an average salary of $97,166 per year, or $46.7 per hour.

Quant Modeler - Securitized Products - Global Bank

Hammer Search Partners

Manhattan, NY • On-site

$175K - $250K/yr

Full-time

Re-posted 9 days ago

Job description


If you are you an experienced quantitative modeler with expertise in Asset Backed Securities, Structured Credit and Securitized Products, we have an exciting opportunity with a major global bank.
In this role, you'll be part of a team that develops and implements cutting-edge models that drive credit risk strategy across traditional and non-traditional asset classes.
What You'll Do
- Collaborate directly with the trading desk to research, develop, and implement mathematical models for ABS valuation and risk.
- Evaluate variables impacting credit risk and communicate insights across departments.
- Apply quantitative analysis and technology-based tools to monitor, measure, and manage credit risks.
- Document models and products with precision and clarity.
- Redesign processes to enhance credit risk management and resolution strategies.
- Ensure compliance with internal credit risk policies, procedures, and guidelines.
Requirements
Qualifications
- An advanced degree in mathematics, physics, engineering, or computer science.
- Strong programming skills and analytical mindset.
- At least 2 years of modeling experience relevant to securitized products.
- Strong independent work ethic and collaborative team spirit.
Location Requirement:
This role is based onsite in Lower Manhattan. To ensure effective collaboration and timely responsiveness, we are only considering candidates who currently reside within a reasonable commuting distance.
Benefits
- Competitive compensation, bonuses, and benefits.Estimated base salary range for this position is $175,000 - $250,000. The final compensation will be determined by factors including the candidate's skills, qualifications, and years of experience, as well as internal equity and market data.
- Opportunities for advancement.
- Opportunities to make a lasting impact on a high-performing team.
- Challenging work with meaningful client relationships.

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