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Quantitative Mathematics Degree Jobs (NOW HIRING)

Quant Blueprint LLC

Quantitative Developer

Manhattan, NY · On-site

$125 - $150/hr

Designing and developing quantitative mathematical algorithms to link the diverse data sets from ... Advance degree (Masters or Ph.D.) in a computational or analytical field. * Minimum of 10 years ...

Quant Blueprint LLC

NY · On-site

$200 - $250/hr

Designing and developing quantitative mathematical algorithms to link diverse data sets from ... Requirements * Advanced degree (Master's or Ph.D.) in a computational or analytical field.

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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 Developer

Manhattan, NY • On-site

Quant Blueprint LLC
See more jobs at Quant Blueprint LLCexternal

$125 - $150/hr

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Re-posted 4 days ago

Job description

About Cubist

Cubist Systematic Strategies, an affiliate of Point72, deploys systematic, computer-driven trading strategies across multiple liquid asset classes, including equities, futures and foreign exchange. The core of our effort is rigorous research into a wide range of market anomalies, fueled by our unparalleled access to a wide range of publicly available data sources.

Role
  • Dynamically managing portfolio risk by evaluating historical and real-time strategy performance.
  • Overseeing automated trade execution and monitoring transaction costs.
  • Supervising a small team of researchers and developers on a daily basis.
  • Designing, researching, and managing sophisticated investment strategies by creating and engineering advance quantitative financial computer modeling systems to aid in analysis and research.
  • Performing research to acquire historical and production data sources needed to build investment models.
  • Designing and developing quantitative mathematical algorithms to link the diverse data sets from various providers.
  • Engineering investment models that will make the buy and sell recommendations for the portfolios using advanced quantitative mathematic statistics and investment theory to design and program strategies that explicitly forecast risk, return, and trading costs.
  • Using quantitative models to value securities.
  • Conducting ongoing, cutting-edge quantitative research and analysis to enhance existing strategies and to expand into new markets.
  • Developing aspects of successful statistical models, focusing on forecasting and optimization.
  • Expanding trading universe and volume and expanding to other exchanges and products.
Requirements
  • Advance degree (Masters or Ph.D.) in a computational or analytical field.
  • Minimum of 10 years' experience developing, researching or implementing quantitative models for equities, futures and/or FX.
  • Hands on experience with all aspects of the research process, including methodology section, data collection and analysis, testing, prototyping, backtesting, and performance monitoring.
  • Innovative, intellectually driven, with an intense curiosity about financial markets and human behavior.
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