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Mathematical Analyst Jobs (NOW HIRING)

Develop mathematical models, algorithms, and simulations to solve real-world, open-ended defense ... Develop analysis software and tooling to enhance analysis abilities and speed integration of ...

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Mathematical Analyst information

What does a mathematical analyst do?

A mathematical analyst applies mathematical theories and techniques to analyze data, develop models, and solve complex problems across various industries. They often use tools like statistical software and require strong analytical skills, typically holding degrees in mathematics, statistics, or related fields.

Does the FBI hire mathematicians?

Yes, the FBI hires mathematicians, often under roles such as Mathematical Analysts or Quantitative Analysts. These positions typically require strong analytical skills, a background in mathematics or related fields, and security clearance, with work involving data analysis, cryptography, and intelligence assessment.

What are some typical daily responsibilities of a Mathematical Analyst?

As a Mathematical Analyst, your daily responsibilities often include collecting and interpreting complex data sets, developing mathematical models to solve business or operational problems, and preparing reports or presentations to communicate your findings. You may work closely with data scientists, financial analysts, or engineers to integrate your analyses into larger projects. Regular tasks also involve using statistical software, validating model accuracy, and refining methods based on real-world feedback or new data. This variety ensures you play a critical role in decision-making processes and contribute measurable value to your organization.

What are the key skills and qualifications needed to thrive in the Mathematical Analyst position, and why are they important?

To thrive as a Mathematical Analyst, you need a strong background in advanced mathematics, statistical analysis, and quantitative modeling, typically supported by a relevant degree such as mathematics, statistics, or applied mathematics. Proficiency with software tools like MATLAB, R, Python, and data visualization platforms is often required, and certifications in data analysis or financial modeling can be advantageous. Exceptional problem-solving abilities, attention to detail, and strong communication skills help set top candidates apart in this field. These competencies are vital for accurately interpreting complex data, delivering insightful recommendations, and effectively collaborating with cross-functional teams.

What jobs pay $500,000 a year in the US?

High-level roles such as senior quantitative analysts, hedge fund managers, and chief data officers in finance or technology sectors can earn $500,000 or more annually. These positions typically require advanced degrees, extensive experience, and expertise in data analysis, programming, or financial modeling. Compensation often includes base salary, bonuses, and profit-sharing components.

What is a Mathematical Analyst job?

A Mathematical Analyst applies mathematical techniques to solve complex problems, analyze data, and develop models for business, finance, science, and engineering. They use statistical methods, algorithms, and computational tools to interpret results and provide insights. Their work helps organizations make data-driven decisions, optimize processes, and improve efficiency. Mathematical Analysts often collaborate with other professionals, including data scientists, economists, and engineers, to create solutions for real-world challenges.

What job makes $1,000,000 a year?

Highly specialized roles such as top hedge fund managers, senior investment bankers, or successful entrepreneurs can earn $1,000,000 or more annually. These positions often require advanced skills, extensive experience, and significant responsibility, with compensation frequently including bonuses, profit sharing, or equity stakes.
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Infographic showing various Mathematical Analyst job openings in the United States as of July 2026, with employment types broken down into 1% Locum Tenens, 1% Internship, 86% Full Time, 6% Part Time, 1% Temporary, and 5% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution.

Applied Mathematician/Analyst

Bowhead

King George, VA โ€ข On-site

Full-time

Re-posted 29 days ago


Job description

Overview

Applied Mathematician/Analyst (E30-2026-24915):

Bowhead seeks an experienced Applied Mathematician / Analyst with expertise in advanced mathematical modeling, statistical analysis, physics, and software development.

***This position will require onsite work at the Bowhead office or Navy installation. ***

Responsibilities

The Applied Mathematician/Analyst requires a balanced skill set including mathematical modeling, software and tool development, and the ability to communicate insights clearly to diverse stakeholders. Skilled in solving complex, research & development / prototype problems using high-level mathematics to support critical U.S. defense mission objectives.

Job duties include but are not limited to:

  • Develop mathematical models, algorithms, and simulations to solve real-world, open-ended defense-related problems.
  • Leverage experience in mathematics and software development to design, implement, analyze, and deploy improvements for weapons systems extremely important to short and long-term effects on U.S. defense.
  • Apply advanced mathematics, physics, statistics, predictive modeling, and machine learning techniques to identify meaningful patterns and generate actionable insights from complex datasets.
  • Develop analysis software and tooling to enhance analysis abilities and speed integration of techniques developed in this position into real-world systems.
  • Use Modeling and Simulation to analyze performance of existing and new techniques on simulated and real-world data.
  • Design, create, verify, and document software components to deliver stakeholder value.
  • Present technical findings and insights in ways that are clear and impactful for both technical and non-technical audiences.
  • Manage and exploit internal and external data sets, ensuring integrity and value in data-driven operations.
Qualifications
  • Experience in pattern recognition, predictive analytics, Kalman filtering, statistical fitting, machine learning, mathematical modeling, and simulations.
  • Proficiency in software development with one or more modern, general-purpose programming languages (Java, Python, C/C#/C++, JavaScript, Ada).
  • Strong background in mathematical modeling, numerical methods, and computational tools (Python, MATLAB, R).
  • Bachelor's degree in Applied Mathematics, Mathematics, Physics, or related field is required.
  • Minimum 2 years of relevant experience in applied mathematics, or related fields (15+ years preferred for senior-level applicants).
  • U.S. Citizenship and ability to obtain and maintain a Secret security clearance.

Competencies

  • Strong analytical and problem-solving skills.
  • Ability to work independently or as part of a team.
  • Strong interpersonal, communication, and leadership skills; effective at interfacing with employees at all levels and external stakeholders.
  • Ability to communicate effectively in writing with technical/non-technical audiences.
  • Ability to manage multiple priorities and achieve mission objectives efficiently.

SECURITY CLEARANCE REQUIRED: Must be able to maintain a security clearance at the Secret level. US Citizenship is a requirement for Secret clearance at this location.

Physical Demands: Must be able to lift up to 25 pounds Must be able to stand and walk for prolonged amounts of time Must be able to twist, bend and squat periodically

LI-BG1

Employment Type: FULL_TIME