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Phd Math Jobs (NOW HIRING)

Weekday AI

Mathematics PhD AI Trainer

$70 - $140/hr

Recent PhD in Mathematics (within the past 4 years) OR current PhD candidate (≥3 years into their program; typically ≥4th year post-undergrad or ≥3rd year post-master's). * Background from a ...

Weekday AI

Mathematics Expert (PhD)

$60 - $80/hr

PhD in Mathematics from a top US, UK, Canadian, or European university Work experience: 2+ years of academic (research/teaching) or professional (scientist, researcher, or engineer) experience Skills:

PJM

(Sr.) Economist I (II)

Audubon, PA · On-site

$92K - $117K/yr

Ability to use mathematical and electrical theory * Ability to troubleshoot and provide technical support Preferred: * MBA degree, PhD., Economics, PhD., Mathematics * At least 5 years of experience ...

PJM Interconnection

(Sr.) Economist I (II)

Audubon, PA · Hybrid

$92K - $117K/yr

Ability to use mathematical and electrical theory * Ability to troubleshoot and provide technical support Preferred: * MBA degree, PhD., Economics, PhD., Mathematics * At least 5 years of experience ...

Prep Academy Tutors

Math and Chemistry Tutor

Del Mar, CA · On-site

Job Summary We are actively seeking a Math (Integrated Math II and III) and Chemistry tutor to work ... University or College You are a Master's/PhD student with experience as a teaching assistant at an ...

Weekday AI

Maths (Masters or PhD) AI trainer

$110 - $130/hr

You will be evaluating advanced math tasks and solutions and provide clear, written feedback ... Master or PhD in Maths from a top tier university Work experience : 3+ years experience working in ...

Georgia

Math Instructor

Marietta, GA · On-site

$60K/yr

PhD degree in mathematics * Three years full-time teaching experience in a post-secondary institution * Postsecondary teaching experience with computer-assisted instruction, instructional technology ...

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Phd Math information

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How much do phd math jobs pay per hour?

As of Jul 5, 2026, the average hourly pay for phd math 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 are PhD Math graduates qualified to do after earning their degree?

PhD Math graduates are equipped for a range of careers that require advanced mathematical knowledge and research skills. Many pursue academic positions as professors or researchers at universities, while others work in industry roles such as data scientists, quantitative analysts, or mathematicians in government and private sectors. Their expertise is valuable in finance, technology, engineering, and consulting, where complex problem-solving and analytical abilities are essential. Additionally, some contribute to interdisciplinary research, policy analysis, or science communication.

What jobs can a math PhD get?

A math PhD can pursue roles such as data scientist, quantitative analyst, research scientist, operations researcher, or university professor. These positions often require strong analytical, programming, and research skills, and may involve working in finance, technology, academia, or government agencies.

What are the key skills and qualifications needed to thrive as a PhD-level Mathematician, and why are they important?

To thrive as a PhD-level Mathematician, you need advanced expertise in mathematical theory, analytical reasoning, and problem-solving, typically supported by a doctoral degree in mathematics or a related field. Familiarity with programming languages (such as Python or MATLAB), mathematical modeling software, and experience with academic research tools are commonly required. Strong communication, perseverance, and collaboration skills help stand out when presenting findings and working in interdisciplinary teams. These competencies are crucial for contributing original research, solving complex problems, and advancing mathematical knowledge in academic or industry settings.

What is the difference between Phd Math vs Data Scientist?

AspectPhd MathData Scientist
Required CredentialsPhD in Mathematics or related fieldBachelor's or Master's in CS, Stats, or Math; often prefers PhD
Work EnvironmentAcademic, research institutions, or R&D departmentsCorporate, tech companies, or consulting firms
Industry UsageResearch, academia, governmentBusiness analytics, machine learning, data analysis
Common Search/ComparisonYesYes

While both roles require strong analytical skills, a Phd Math typically focuses on theoretical research and academic or research institution work. In contrast, a Data Scientist applies statistical and mathematical techniques to solve practical business problems in industry settings. The credentials overlap, but the work environment and application focus differ significantly.

Is a PhD in math useful?

A PhD in math is highly valuable for careers in academia, research, data science, and quantitative analysis. It demonstrates advanced problem-solving, analytical skills, and expertise in mathematical modeling, which are sought after in various industries. However, its usefulness depends on career goals and the ability to apply mathematical knowledge practically.

What does a PhD in Mathematics get you?

A PhD in Mathematics qualifies individuals for advanced research, teaching at the university level, and roles in data analysis, quantitative finance, or scientific computing. It demonstrates expertise in complex problem-solving, analytical skills, and often requires proficiency with mathematical software and programming languages.

Do math PhDs make good money?

Math PhDs often pursue careers in academia, research, data science, or finance, where salaries can vary widely. In industry roles such as quantitative analysis or data science, they can earn competitive salaries, often higher than those with only a master's degree, especially with experience and specialized skills. However, academic positions may offer lower pay compared to industry roles.

What are the typical collaborative opportunities for someone in a PhD-level mathematics role?

PhD-level mathematicians often work within interdisciplinary teams, collaborating with professionals in fields like computer science, engineering, economics, and data science. These collaborations usually involve joint research projects, problem-solving sessions, or co-authoring academic papers. Mathematicians may also work closely with industry partners to apply theoretical models to real-world challenges, such as optimizing algorithms or analyzing large data sets. This teamwork fosters both professional growth and the opportunity to see the practical impact of mathematical research.
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Phd Math jobs near you
Infographic showing various Phd Math job openings in the United States as of June 2026, with employment types broken down into 88% Full Time, 7% Part Time, 2% Temporary, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $57,798 per year, or $27.8 per hour.
Quant Developer/Market Maker - Cryptocurrency - Start-Up

Quant Developer/Market Maker - Cryptocurrency - Start-Up

Equation Staffing

Manhattan, NY

Full-time

Posted 11 days ago

Job description

Quant Developer/Market Maker


The Company -
Our client is a small trading shop, whose founders have an extremely successful track records in all prior ventures in high Frequency trading. The core consists of small group of educated PhD scientists who came together to build trading models in multiple asset classes over the last decade. They were first challenged to finding non-random behavior in data sets as they tackled the FX market with new algorithmic trading and quickly separated themselves from everyone else in the market. That company was bought by a world leader in capital markets, and they moved into equities, and were successful as a prop trading shop for over 6 years, and was eventually bought as well. They are now onto their next venture they are looking to tackle the cryptocurrency market. As a trusted asset to every large financial trading desk through the years, institutions have expressed great interest in trading with them, and the firm provides crypto asset execution, trading, and advisory services to institutional clients, as well as making markets on various exchanges, as well as providing customized algorithms to split up trades. They are looking for a Quant Developer (Quant/Market maker) to join this team, and head up building the market making product. This person does not need crypto experience, but needs to understand the technical backbone of market making systems, market microstructure and the technical needs for setting up and monitoring strategies.


All systems are built from scratch and brand new. The competitive advantage is the model and brilliant combination of quantitative minds. They build their systems to be smarter, highly risk averse, rigorously tested and with a strict scientific approach to modeling.


The Role –
Starting as an Senior Quant Developer/Market Maker you will get a chance to get in on the ground floor in a low key environment and let data drive your decisions. This opportunity is for a top notch engineer with strong quantitative skills, to take a pragmatic approach and enjoy the flexibility of building something, in an environment where there is no red tape, or barriers to your creativity. It is a great opportunity for a Quant who wants to leverage technical/math skills to learn more about, and get into trading. Ideas for strategies are encouraged, and team will help you test and implement them.

This is an opportunity for you to work with elite minds as well as trade ideas, grow in knowledge and gain exponential earnings potential. The overall climate is for everyone to make money and go home satisfied. Flexible hours and telecommuting is offered.


Qualifications
¬ Experience working with high performance trading systems, specifically market making systems.

¬ FX is preferred over equity, because it translates better to the crypto-market.
¬ Strong Java/C# Programming
¬ Ability to develop systematic models from a mathematical approach
¬ Strong Math/Quantitative Skills and experience with Large Data Sets

¬ Top Tier Education – Masters or PhD (Math, Science, Computer Science, Engineering, Computational Finance)

Skills and abilities you will be finely rewarded, compensation greatly depends on experience, equity and salary will be based on value.