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Quantitative Methods Jobs (NOW HIRING)

Quantitative Research Assistant

San Francisco, CA · On-site +1

$22.75 - $31.25/hr

The ideal candidate has experience with quantitative methods; evidence of and a strong commitment to producing high-quality project deliverables and publications; strong organizational and project ...

Quantitative Research Assistant

San Francisco, CA · On-site +1

$22.75 - $31.25/hr

The ideal candidate has experience with quantitative methods; evidence of and a strong commitment to producing high-quality project deliverables and publications; strong organizational and project ...

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Quantitative Methods information

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$31K

$90.6K

$146K

How much do quantitative methods jobs pay per year?

As of Jul 21, 2026, the average yearly pay for quantitative methods 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 are the most common challenges faced when working in a Quantitative Methods role, and how can new hires prepare to overcome them?

Professionals in Quantitative Methods often encounter challenges such as interpreting complex data sets, ensuring model accuracy, and translating quantitative findings into actionable business insights. It can also be demanding to communicate technical concepts to non-technical stakeholders and to stay updated with evolving analytical tools and methodologies. New hires can prepare by strengthening their statistical programming skills, practicing clear communication, and staying proactive about learning the latest industry software and best practices.

What jobs can you do as a quant?

Quantitative methods professionals, or quants, typically work as quantitative analysts, data scientists, risk managers, or algorithmic traders in finance, investment firms, or hedge funds. They use mathematical models, programming skills, and statistical tools to analyze data, develop trading strategies, or assess risk. These roles often require proficiency in programming languages like Python or R and a strong background in mathematics or finance.

What jobs use quantitative analysis?

Quantitative analysis is used in a variety of jobs such as financial analysts, data scientists, risk managers, and investment analysts. These roles involve analyzing numerical data, developing models, and using tools like Excel, R, or Python to inform decision-making in finance, marketing, or operations.

How much do quants get paid?

Quantitative analysts, or quants, typically earn between $80,000 and $200,000 annually, with senior roles and those at top firms earning significantly more. Compensation often includes bonuses and depends on experience, education, and the complexity of models used. Skills in programming, mathematics, and finance are highly valued in this field.

What jobs make $1,000,000 a year?

In the field of quantitative methods, high-earning roles such as hedge fund managers, chief investment officers, and senior quantitative analysts can earn over $1 million annually through bonuses and profit sharing. These positions typically require advanced degrees, strong analytical skills, and experience with financial modeling, programming, and data analysis tools. Such roles are often found in finance, investment firms, and hedge funds with performance-based compensation structures.

What are quantitative methods?

Quantitative methods refer to research techniques that focus on quantifying data and phenomena. These methods use statistical, mathematical, or computational tools to analyze numerical data, identify patterns, and make predictions. In various fields like finance, social sciences, and data science, quantitative methods are essential for making objective decisions and testing hypotheses. Techniques often include surveys, experiments, and analysis of large datasets.

What are the key skills and qualifications needed to thrive in Quantitative Methods, and why are they important?

To excel in Quantitative Methods, you need a strong background in mathematics, statistics, and data analysis, often supported by at least a bachelor's degree in a quantitative field. Proficiency with statistical software such as R, Python, SAS, or MATLAB, and familiarity with data visualization tools are commonly required. Analytical thinking, attention to detail, and effective communication skills help professionals interpret data and present insights clearly. These skills are critical for making data-driven decisions, solving complex problems, and supporting organizational objectives.

What is the difference between Quantitative Methods vs Data Analyst?

AspectQuantitative MethodsData Analyst
Required CredentialsStatistics, mathematics, data analysis certificationsStatistics, data analysis, business intelligence certifications
Work EnvironmentResearch, modeling, statistical analysis in finance, academia, or consultingData cleaning, visualization, reporting in various industries
Employer & Industry UsageFinancial firms, research institutions, consultingBusiness, marketing, healthcare, tech companies

While Quantitative Methods focus on developing statistical models and mathematical techniques for analysis, Data Analysts primarily interpret data through visualization and reporting to support business decisions. Both roles require strong analytical skills, but Quantitative Methods often involve more advanced statistical modeling and theoretical work, whereas Data Analysts focus on data interpretation and communication.

More about Quantitative Methods jobs
What cities are hiring for Quantitative Methods jobs? Cities with the most Quantitative Methods job openings:
What states have the most Quantitative Methods jobs? States with the most job openings for Quantitative Methods jobs include:
Infographic showing various Quantitative Methods job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 85% Full Time, 12% Part Time, 1% Temporary, and 1% Contract. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution, with an average salary of $90,579 per year, or $43.5 per hour.

Other

Posted 16 days ago


Job description

 
We are looking for an exceptional Quantitative Developer to join our expanding Energy Desk.
In this role, you will work between the Research and Trading desks, and the Engineering team to ensure the successful leveraging of tooling and reporting for the Desk.
 

Your future role within Q-TX

  • Collaborate with researchers and traders to develop tools, statistical models, and reports for energy supply and demand analysis.
  • Translate complex market dynamics into actionable insights using robust quantitative methods.
  • Work closely with global technology teams to leverage Q-TX systems and cloud platforms for scalable and maintainable solutions.
  • Monitor and support desk tools to ensure reliability, usability, and long-term effectiveness.

Your present skillset

  • Minimum of 4 years of experience developing industrial-strength, mission-critical Python code.
  • Experience with cloud platforms (AWS) is a plus.
  • Ability to work independently and collaboratively within a global team.
  • Strong design and software engineering skills for clean, maintainable solutions.
  • Familiarity with power or energy markets is preferred.
  • Rigorous, analytical thinker with strong problem-solving skills.
  • Ability to manage multiple priorities and communicate effectively with stakeholders.
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