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Applied Math Jobs in Kansas City, MO (NOW HIRING)

Lucky Strike

Assistant Mechanic

Overland Park, KS · On-site

$17 - $21.25/hr

High School Diploma with a strong emphasis on algebra, geometry, and applied mathematics (Optional) * Excellent communication skills * Proven team player * Eager to continue training to advance into ...

Lucky Strike

Assistant Mechanic

Overland Park, KS · On-site

$17 - $21.25/hr

High School Diploma with a strong emphasis on algebra, geometry, and applied mathematics (Optional) * Excellent communication skills * Proven team player * Eager to continue training to advance into ...

Lucky Strike

Assistant Mechanic

Overland Park, KS · On-site

$17 - $21.25/hr

High School Diploma with a strong emphasis on algebra, geometry, and applied mathematics (Optional) * Excellent communication skills * Proven team player * Eager to continue training to advance into ...

Pwc

Risk Modeling Services P&C - Director

Kansas City, MO

$134K - $410K/yr

... Applied Mathematics, Mathematical Statistics, Mathematics, Statistics, Economics - At least 8 years of experience - Fellow of the Casualty Actuarial Society What Sets You Apart - Proven leadership in ...

Voda Cleaning and Restoration

Be Seen First

Carpet Cleaning Lead Tech

Kansas City, MO · On-site

$21/hr (+ commission)

Mathematical Skills: Adequate math skills. Ability to apply learned techniques to determine ... Applied Structural Drying Technician (ASD) * Mold Remediation Specialist (MRS) * Fire and Smoke ...

Voda Cleaning and Restoration

Be Seen First

Carpet Cleaning Lead Tech

Kansas City, MO · On-site

$21/hr (+ commission)

Mathematical Skills: Adequate math skills. Ability to apply learned techniques to determine ... Applied Structural Drying Technician (ASD) * Mold Remediation Specialist (MRS) * Fire and Smoke ...

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Showing results 21-40

All JobsApplied Math JobsApplied Math Jobs in Kansas City, MO

Applied Math information

See Kansas City, MO salary details

$22K

$57.4K

$92.2K

How much do applied math jobs pay per year?

As of Sep 4, 2026, the average yearly pay for applied math in Kansas City, MO is $57,415.00, according to ZipRecruiter salary data. Most workers in this role earn between $43,900.00 and $68,300.00 per year, depending on experience, location, and employer.

What is an applied mathematician?

Applied mathematicians are professionals who use mathematical theories, techniques, and computational methods to solve practical problems in fields such as engineering, science, business, and industry. They often develop models to analyze real-world phenomena, optimize processes, and predict outcomes. Applied mathematicians may work in diverse areas like data analysis, operations research, finance, and computer science, collaborating with experts from other disciplines to address complex challenges.

What are the key skills and qualifications needed to thrive as an applied mathematician, and why are they important?

To thrive as an Applied Mathematician, you need strong mathematical modeling, analytical, and problem-solving skills, usually supported by a degree in mathematics, applied mathematics, or a related field. Familiarity with programming languages (such as Python, MATLAB, or R), statistical software, and computational tools is typically required. Excellent communication, teamwork, and critical thinking abilities help translate complex mathematical concepts for diverse audiences and collaborative projects. These skills are vital for developing solutions to real-world problems across industries, ensuring accuracy, innovation, and practical impact.

What are some typical projects or problems an applied mathematician may work on within a multidisciplinary team?

Applied mathematicians often collaborate with experts from fields such as engineering, computer science, and finance to tackle real-world challenges. For example, they might develop algorithms for optimizing logistics and supply chains, create mathematical models to predict disease spread in healthcare, or analyze large data sets to inform business strategies. This collaboration typically involves regular meetings, data sharing, and iterative problem solving, making strong communication skills and adaptability essential for success in the role.

What is the difference between Applied Math vs Data Analyst?

AspectApplied MathData Analyst
Required CredentialsBachelor's or higher in Mathematics, Applied Math, or related fieldsBachelor's or higher in Statistics, Data Science, or related fields
Work EnvironmentResearch labs, academia, finance, engineeringBusiness, finance, healthcare, marketing
Industry UsageModeling, simulations, algorithm developmentData interpretation, reporting, visualization
Common Search/ComparisonApplied Math vs Data Analyst

Applied Math and Data Analysts often share skills in statistical analysis and problem-solving. However, Applied Math focuses more on developing mathematical models and algorithms, while Data Analysts primarily interpret and visualize data to inform business decisions. Both roles are vital across industries, but their daily tasks and focus areas differ significantly.

Is applied math a useful degree?

Applied math is a useful degree for careers in data analysis, finance, engineering, and research, as it develops skills in problem-solving, modeling, and quantitative analysis. Graduates often find employment in industries that rely on mathematical and computational tools, and the degree can lead to roles requiring programming and statistical knowledge.

Is applied math in demand?

Applied math professionals are in high demand across industries such as finance, data analysis, engineering, and technology due to their skills in modeling, problem-solving, and quantitative analysis. Employers seek candidates with strong analytical abilities and proficiency in tools like MATLAB, Python, or R, making applied math a valuable and often well-compensated field.

What careers use applied math?

Applied math is used in careers such as data analyst, financial analyst, operations researcher, actuary, engineer, and computer scientist. These roles involve using mathematical models, statistical techniques, and computational tools to solve real-world problems across industries like finance, technology, healthcare, and engineering.

What to do with a degree in applied math?

A degree in applied math prepares individuals for roles such as data analyst, operations researcher, financial analyst, or software developer. It involves skills in problem-solving, statistical analysis, and programming, often utilizing tools like MATLAB, Python, or R. Graduates can work in industries including finance, technology, engineering, and consulting.

What are popular job titles related to Applied Math jobs in Kansas City, MO?

For Applied Math jobs in Kansas City, MO, the most frequently searched job titles are:

What job categories do people searching Applied Math jobs in Kansas City, MO look for?

The top searched job categories for Applied Math jobs in Kansas City, MO are:

Applied Math jobs near you
Infographic showing various Applied Math job openings in Kansas City, MO as of August 2026, with employment types broken down into 73% Full Time, 24% Part Time, 2% Contract, and 1% Nights. Highlights an 97% Physical, and 3% Remote job distribution, with an average salary of $57,415 per year, or $27.6 per hour.

Catastrophe Risk Modeler

National Association of Insurance Commissioners

Kansas City, MO • On-site, Remote

$125K - $162K/yr

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

Job Description:
The Regulatory Affairs division of the National Association of Insurance Commissioners (NAIC) has an exciting opportunity for a Catastrophe Risk Modeler. The Catastrophe Risk Modeler performs catastrophe modeling, data analytics, and geospatial analysis to support state insurance regulators in understanding and managing natural catastrophe risk. This position uses commercial catastrophe models, insurance and notional exposure datasets, and other analytical tools to help states prioritize resilience initiatives, mitigation programs, grant funding, and other investments based on hazard, exposure, vulnerability, mitigation potential, and expected loss reduction. This is a full-time remote position. Residency within the United States is required.
Responsibilities Include
  • Works with the Sr. Catastrophe Risk Modeler and Sr. Manager of CAT Modeling Center of Excellence to execute assigned catastrophe modeling projects, including identifying appropriate data and models, selecting methodologies, establishing assumptions, designing quality-control procedures such as documentation and validation/peer-review, managing technical timelines, and communicating results and limitations.
  • Executes complex catastrophe model analyses involving multiple vendor platforms, perils, geographic regions, portfolios, or regulatory applications. Evaluates differences among models and scenarios through sensitivity testing, uncertainty analysis, benchmarking, and reconciliation of results.
  • With guidance from the Sr. Catastrophe Risk Modeler, prepares and validates exposure data, configures and executes catastrophe model runs, conducts quality assurance and reasonableness reviews, analyzes model outputs, and articulates model limitations.
  • Works on the development of analytical tools, interactive dashboards, maps, tables, charts, and other visual products using platforms such as Tableau, Power BI, and ArcGIS.
  • Assists in delivering regulator education, including introductory programs such as CAT 101 and advanced training on model components, assumptions, uncertainty, validation, and regulatory applications.
  • Assists in evaluating new catastrophe model versions, data sources, analytical tools, artificial intelligence applications, and emerging methodologies.

Minimum Education and/or Experience Required
  • Bachelor's or master's degree in a quantitative or technical field such as applied mathematics, actuarial science, statistics, data science, insurance, risk management, engineering, physics, atmospheric science, geography, geospatial science, or a related discipline is required and 5+ years of experience in delivering complex catastrophe modeling, data analysis, geospatial analysis, or applied risk analytics, including significant experience within property insurance, reinsurance, catastrophe risk, or a closely related field or an equivalent combination of education and experience.
  • Hands-on experience with at least one recognized commercial catastrophe modeling platform, such as Moody's RMS, Verisk, or another comparable vendor platform, is required. Experience should include preparing model data, configuring and executing analyses, evaluating results, and communicating model assumptions and limitations.
  • Proficiency with Microsoft Excel, SQL, GIS tools (e.g., ArcGIS), cloud analytics, and at least one programming or statistical language, such as Python, R, or SAS, is required.
  • Strong written and verbal communication skills are required, including the ability to explain complex catastrophe modeling concepts and analytical conclusions to regulators, executives, technical experts, and nontechnical audiences.
  • Knowledge of emerging risks, including physical climate risk, casualty catastrophe risk, or cyber catastrophe risk, is beneficial.

Preferred Experience
  • Relevant professional credentials-such as CPCU, CEEM, CCRA, CSCR, CCRMP, ARM, ARe, or actuarial designation.

Systems & Technology Requirements
  • Microsoft Office Suite
  • GIS tools
  • At least one programming or statistical language

Travel
This position requires regular, out-of-state, overnight travel in support of member meetings and events throughout the year. Must be able and willing to travel to locations throughout the United States and with such frequency as necessary to meet the needs of this position and the Association. Estimated travel is up to 30%.
Compensation
$125,000 - $162,000 commensurate with education and experience.
Sponsorship
Applicants must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time.
Interested in learning more about the amazing benefits the NAIC offers? Visit our Benefits page for more information.
The NAIC is proud to be an Equal Opportunity Employer
Applicants for all positions are considered without regard to age, race, creed, color, religion, sex, sexual orientation, gender identity or expression, national origin or ancestry, marital status, pregnancy, genetic information, military or veteran status, disability, or any other basis protected by applicable law.

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