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How much do math phd salary jobs pay per hour?

As of Sep 13, 2026, the average hourly pay for math phd salary in the United States is $27.79, according to ZipRecruiter salary data. Most workers in this role earn between $18.75 and $29.33 per hour, depending on experience, location, and employer.

What is the average salary for someone with a Math PhD?

The average salary for individuals with a Math PhD can vary widely depending on their career path. Academic positions, such as assistant professors at universities, typically start around $60,000 to $90,000 per year, while tenured professors can earn significantly more. In industry roles, such as data science, finance, or technology, Math PhDs can earn starting salaries ranging from $90,000 to $130,000 or higher, depending on the sector and location. Salaries tend to increase with experience, expertise, and the specific demands of the job.

What are the key skills and qualifications needed to thrive as a mathematics PhD holder, and why are they important?

To thrive as a Mathematics PhD holder, you need deep expertise in mathematical theory, advanced problem-solving skills, and a doctoral degree in mathematics or a closely related field. Familiarity with statistical analysis software, programming languages (such as Python or MATLAB), and research publication systems is often required. Exceptional analytical thinking, collaboration, and clear communication skills set top candidates apart. These abilities are crucial for producing innovative research, effectively sharing complex ideas, and contributing to interdisciplinary teams in academia, industry, or government.

What career paths are commonly available to individuals with a math PhD, and how do these impact potential salary growth over time?

Individuals with a Math PhD have a wide range of career opportunities, including academia, research, finance, data science, and technology sectors. Those who pursue academic roles may start as postdoctoral researchers or assistant professors, with salaries growing as they advance to tenured positions. In industry roles such as quantitative analyst or data scientist, salaries are often higher and tend to increase rapidly with experience and specialization. Additionally, working in government research labs or private R&D can provide stable career progression and competitive compensation. Salary growth is closely tied to sector, geographic location, and the individual's ability to leverage specialized expertise.

What is the difference between Math Phd Salary vs Data Scientist Salary?

AspectMath Phd SalaryData Scientist Salary
Required credentialsMath PhD, advanced quantitative skillsBachelor's or Master's in CS, Stats, or related field; often a PhD preferred
Work environmentResearch institutions, academia, government labsTech companies, finance, consulting firms
Industry usageAcademic research, government projects, specialized industriesTechnology, finance, healthcare, retail
Common search intentSalary comparison, career prospects, job roles

While Math PhDs often focus on research and theoretical work, Data Scientists typically work in applied settings analyzing data to inform business decisions. Salaries can overlap, but Data Scientists tend to have higher starting salaries due to industry demand and practical skills.

Are math PhDs in demand?

Math PhDs are in demand in fields such as data science, finance, academia, and research institutions, where advanced analytical and problem-solving skills are valued. Employment opportunities often require strong quantitative skills, programming knowledge, and research experience, with demand driven by data-driven decision-making and technological advancements.

What jobs can I get with a math PhD?

A math PhD qualifies individuals for roles such as data scientist, quantitative analyst, research scientist, operations researcher, and university professor. These positions often require strong analytical, statistical, and programming skills, with common tools including Python, R, and MATLAB.
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Math Phd Salary jobs near you
Infographic showing various Math Phd Salary job openings in the United States as of September 2026, with employment types broken down into 89% Full Time, 10% Part Time, and 1% Contract. Highlights an 80% Physical, 3% Hybrid, and 17% Remote job distribution, with an average salary of $57,798 per year, or $27.8 per hour.

PhD Degree Required - Quantitative Analyst/Programmer, Mortgage Trading Desk (RMBS)

New York, NY • On-site

CERBERUS
Marketing • 11 - 50 employees
Learn more about CERBERUSexternal

$140K - $215K/yr

Full-time

Re-posted 27 days ago

Job description

Founded in 1992, Cerberus is a global leader in alternative investing with approximately $65 billion in assets across complementary credit, private equity, and real estate strategies. We invest across the capital structure where our integrated investment platforms and proprietary operating capabilities create an edge to improve performance and drive long-term value. Our tenured teams have experience working collaboratively across asset classes, sectors, and geographies to seek strong risk-adjusted returns for our investors. For more information about our people and platforms, visit us at www.cerberus.com.

Job Purpose:

Cerberus Capital Management (CCM) is recruiting graduates of PhD programs to join our mortgage trading desk as a Quantitative Analyst/Programmer. You will work directly with trading desk to engineer and optimize data processing, model development, trading processes and interface developments. You will sit on the trading desk and provide insights to portfolio managers and the broader investment team.

We seek a professional with a PhD degree in a quantitative field such as math/statistics, physics, mechanical/electrical engineering, or operations research.

Responsibilities & Deliverables:

  • Explore and develop analytical tools to analyze large datasets of various asset classes including RMBS and asset-backed securities
  • Work with traders/portfolio managers directly to implement and test various models
  • Partner with other developers/programmers on the team on larger scale projects
  • Participate in real time transaction-oriented projects
  • Participate in various portfolio management projects, such as position and risk management systems

Key Requirements:

  • PhD degree in science and engineering discipline, such as math/statistics, physics, mechanical/electrical engineering, or operations research
  • Strong analytical and math skills
  • Fluent in at least one programming language
  • Experiences working with large data sets: SQL or python a plus

The base salary for this position is expected to be between $140,000.00 and $215,000.00. The base salary offered to the chosen candidate will be commensurate with a candidate's relevant experience and other qualifications for the position, as determined by the Company in its sole discretion. In addition to base salary, this position is eligible for an annual discretionary bonus, which is often a meaningful portion of the compensation package, and a robust benefits package.

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