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Quantitative Math Jobs (NOW HIRING)

Fanatics Betting & Gaming

Quantitative Analyst I

Denver, CO · On-site

$64K - $91K/yr

Quantitative Analyst: Short Description for Internal Candidates As a Quantitative Analyst, you'll ... You will apply mathematical and statistical techniques to solve complex problems. It is an exciting ...

Australia-Employment

Quantitative Trader

Manhattan, NY · On-site

$250/hr

Solve challenging mathematical and quantitative problems in a practical environment * Work closely with experienced traders, researchers, and technologists * Opportunity to investigate new products ...

New

NextEra Energy Resources

NY · On-site

$150 - $200/hr

The analyst will develop mathematical models, perform quantitative studies of energy markets, and support trading, origination, and asset optimization decisions through sophisticated analytical tools ...

Akuna Capital

Quantitative Researcher

Chicago, IL · On-site

$145K/yr

... and mathematical models. Our Founding Partners first conceptualized Akuna in their hometown of ... What you'll do as a Quantitative Researcher at Akuna: Akuna's Trading and Research teams are ...

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Quantitative Math information

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$31K

$90.6K

$146K

How much do quantitative math jobs pay per year?

As of Sep 9, 2026, the average yearly pay for quantitative math 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 math job?

A quantitative math job involves applying advanced mathematical and statistical techniques to analyze data and solve complex problems, often in fields like finance, technology, engineering, or research. Professionals in these roles—sometimes called 'quants'—develop mathematical models, algorithms, and simulations to inform decision-making, risk management, or investment strategies. They typically use tools such as programming languages (like Python or R), statistical software, and large datasets. Quantitative math jobs require a strong background in mathematics, statistics, and often computer science, and they are highly valued in industries that rely on data-driven insights.

What are the key skills and qualifications needed to thrive as a quantitative analyst, and why are they important?

To thrive as a Quantitative Analyst, you need strong skills in mathematics, statistics, and data analysis, usually supported by a degree in mathematics, finance, engineering, or a related field. Familiarity with programming languages such as Python, R, or MATLAB, and experience with financial modeling tools or statistical software, are typically required. Analytical thinking, attention to detail, and effective communication help you interpret complex data and convey insights to stakeholders. These skills are crucial for developing accurate models, making informed financial decisions, and supporting business objectives in data-driven environments.

What are some typical challenges faced by professionals in quantitative math roles, and how can they be addressed?

Professionals in Quantitative Math often encounter challenges such as interpreting complex data sets, developing robust mathematical models, and ensuring accuracy under tight deadlines. Collaboration with cross-functional teams, such as data scientists, financial analysts, and software engineers, is key to overcoming these challenges. Staying current with the latest quantitative techniques and regularly validating models can help maintain high standards of accuracy and relevance.

What is the difference between Quantitative Math vs Data Analyst?

AspectQuantitative MathData Analyst
Required CredentialsMathematics, Statistics, or related degreesStatistics, Data Science, or related degrees
Work EnvironmentFinancial firms, tech companies, research institutionsBusiness, marketing, finance departments
Employer & Industry UsageQuantitative roles in finance, trading, researchBusiness insights, reporting, data visualization

Quantitative Math focuses on developing mathematical models and algorithms often used in finance and research, requiring advanced math skills. Data Analysts interpret data to provide business insights, using statistical tools and visualization. While both roles analyze data, Quantitative Math emphasizes model creation and complex calculations, whereas Data Analysts focus on data interpretation and reporting.

What cities are hiring for Quantitative Math jobs?

Cities with the most Quantitative Math job openings:

What other helpful pages are available for Quantitative Math?

Other pages related to Quantitative Math:

Infographic showing various Quantitative Math job openings in the United States as of September 2026, with employment types broken down into 74% Full Time, 24% Part Time, 1% Contract, and 1% Nights. Highlights an 96% Physical, and 4% 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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