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Quantitative Math 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 various providers. * Engineering investment models that will make the buy and sell recommendations for ...

Virtu Financial

Quantitative Strategist (PhD)

Austin, TX · On-site

$175K - $200K/yr

PhD in Science, Math, Engineering or other quantitative or STEM programs. * No previous Quant Finance or specific asset class experience required. * History of diverse, challenging, and interesting ...

Virtu Financial

$175K - $200K/yr

PhD in Science, Math, Engineering or other quantitative or STEM programs. * No previous Quant Finance or specific asset class experience required. * History of diverse, challenging, and interesting ...

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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 Developer

Manhattan, NY • On-site

Quant Blueprint LLC
See more jobs at Quant Blueprint LLCexternal

$125 - $150/hr

Other

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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