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Quantitative Mathematics Degree Jobs (NOW HIRING)

Initio Capital

Quantitative Analyst (Quant)

New York, NY · On-site +1

$145K - $185K/yr

Bachelor's or Master's degree in Finance, Mathematics, Statistics, Computer Science, Engineering, or a related field. * Strong understanding of quantitative finance , including asset pricing, risk ...

New

NextEra Energy Resources

NY · On-site

$150 - $200/hr

Bachelor's Degree in Engineering, Mathematics, Finance, Economics, or related quantitative field. * 4+ years of experience in quantitative analysis, energy markets, or related field. * Advanced ...

Neutral Street

Quantitative Trader

Manhattan, NY · On-site

$200 - $250/hr

Degree in a quantitative field (Math, Physics, Engineering, Computer Science) * Strong intuition for probabilities and statistics * Ability to make quick decisions under pressure * Basic programming ...

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Quantitative Mathematics Degree information

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$31K

$90.6K

$146K

How much do quantitative mathematics degree jobs pay per year?

As of Sep 9, 2026, the average yearly pay for quantitative mathematics degree in the United States is $90,579.00, according to ZipRecruiter salary data. Most workers in this role earn between $35,000.00 and $119,000.00 per year, depending on experience, location, and employer.

What is a quantitative mathematics degree?

A Quantitative Mathematics degree is an academic program focused on the application of mathematical techniques to solve real-world problems in fields such as finance, engineering, science, and technology. The curriculum typically covers advanced mathematics, statistics, data analysis, and computational methods. Graduates are trained to use mathematical modeling and quantitative reasoning to analyze complex data and make informed decisions. This degree prepares students for careers in areas like data science, finance, actuarial science, and research.

What are the key skills and qualifications needed to thrive with a quantitative mathematics degree?

A Quantitative Mathematics Degree requires strong analytical abilities, advanced mathematical knowledge, and proficiency in mathematical modeling, typically supported by coursework in calculus, statistics, and linear algebra. Familiarity with programming languages (such as Python, R, or MATLAB), statistical software, and possibly certifications in data analysis or financial modeling are highly valuable. Critical thinking, problem-solving, and effective communication skills are crucial for interpreting complex data and presenting findings to diverse audiences. These skills and qualifications enable graduates to tackle real-world quantitative challenges in fields like finance, data science, and research, making them indispensable in data-driven industries.

What types of collaborative projects can I expect to work on with a quantitative mathematics degree?

With a Quantitative Mathematics degree, you'll often find yourself working on interdisciplinary teams that may include data scientists, financial analysts, computer programmers, and engineers. Typical projects might involve developing statistical models for risk assessment, optimizing business operations, or analyzing large datasets to inform strategic decisions. Effective communication and teamwork are key, as you'll need to translate complex mathematical insights into actionable recommendations for colleagues from various backgrounds. This collaborative environment not only broadens your skill set but also opens up diverse career pathways in industries like finance, tech, and research.

What is the difference between Quantitative Mathematics Degree vs Quantitative Analyst?

AspectQuantitative Mathematics DegreeQuantitative Analyst
Required CredentialsDegree in mathematics, statistics, or related fieldDegree in finance, economics, or mathematics; often requires certifications like CFA
Work EnvironmentResearch, academia, or financial firmsFinancial institutions, hedge funds, investment banks
Industry UsageEducational institutions, research centers, finance firmsFinancial markets, trading, risk management

While a Quantitative Mathematics Degree provides the foundational knowledge in mathematics and statistics, a Quantitative Analyst applies these skills directly to financial markets, focusing on trading strategies, risk assessment, and investment analysis. Both roles require strong analytical skills, but the analyst role is more industry-specific and often involves client-facing or trading responsibilities.

What other helpful pages are available for Quantitative Mathematics Degree?

Other pages related to Quantitative Mathematics Degree:

Infographic showing various Quantitative Mathematics Degree job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 88% Full Time, 9% Part Time, and 2% Contract. Highlights an 93% Physical, 2% Hybrid, and 5% Remote job distribution, with an average salary of $90,579 per year, or $43.5 per hour.

Quantitative Trader - Executive Director

Manhattan, NY • On-site

Quant Blueprint LLC
See more jobs at Quant Blueprint LLCexternal

$250/hr

Other

Re-posted 3 days ago

Key responsibilities

  • Investigate ideas by analyzing market data using mathematics, statistics, and programming tools.

  • Work with technologists to backtest trading signals and implement them into production trading strategies.

  • Research and optimize the performance of trading strategies and collaborate with team members to generate new ideas.

Job description

Overview

We're looking for accomplished researchers who are interested in growing their career in the field of quantitative finance. While the problems we solve at Susquehanna are often different from academia, our problems demand the attention of brilliant minds that have an extraordinary attention to detail and a relentless pursuit of understanding.

Lifecycle of a Quant Project

The general lifecycle of a quant project begins with an idea:

  • This idea can come from anyone: you, the mentor who sits beside you, or someone you meet in the cafeteria.
  • As a Quantitative Researcher, you will investigate that idea by immersing yourself in market data, leveraging tools in mathematics, statistics, and programming.
  • Through your research, you may discover a new pattern that can transform into a trading signal.
  • You will work side‑by‑side with technologists in order to backtest your results and put that trading signal into production.
  • Once that signal is embedded in our electronic trading strategies, you will continue to do research on that strategy in order to optimize its performance.
  • As your trading strategy evolves, you will discuss with other researchers, strategists, and traders to collect feedback and brainstorm new ideas.
  • Some of those ideas will turn into new quant projects, and the life cycle starts all over again.

We have a comprehensive orientation program designed to bridge the gap between academia and industry. Education topics include an introduction to options pricing, exposure to our proprietary data sets, and opportunities to practice data analysis techniques. Beyond orientation, our trading floor serves as an unlimited source of discussion for learning and development.

What We’re Looking For
  • Master’s degree in a quantitative field such as Mathematics, Physics, Statistics, Electrical Engineering, Computer Science, Operations Research, or Economics.
  • Exceptional mathematical problem‑solving skills.
  • Strong communication skills in a fast‑paced and/or highly collaborative environment are essential.
  • Strong, practical computing skills; a specific language proficiency is less important than your ability to get computers to accomplish tasks efficiently and reliably.
  • Experience working on in‑depth research projects.
  • Finance experience is not a requirement.

By applying to this role, you will be automatically considered for the Quantitative Systematic Trader position. There is no need to apply to both positions in order to be considered for both.

Visa sponsorship is available for this position.

The annual base pay range for this role is $250,000 + discretionary bonus + benefits. Susquehanna considers factors such as scope and responsibilities of the position, work experience, education/training, key skills, as well as market and organizational considerations when extending an offer.

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