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Quantitative Methods Jobs (NOW HIRING)

Citigroup, Inc.

Credit Quantitative Analyst

New York, NY · On-site

$175K - $250K/yr

Implement and maintain the models, robust and efficient numerical methods for pricing, valuation, and risk management within the existing C++ quantitative library. * Enhance and maintain the ...

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$31K

$90.6K

$146K

How much do quantitative methods jobs pay per year?

As of Jun 7, 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 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:
What job categories do people searching Quantitative Methods jobs look for? The top searched job categories for Quantitative Methods jobs are:
Quantitative Methods jobs near you
Infographic showing various Quantitative Methods job openings in the United States as of May 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $90,579 per year, or $43.5 per hour.

Quantitative Research Analyst

Eka Finance

Austin, TX

Full-time

Posted 29 days ago

Job description

Austin, TX (Candidates must be based in Austin or open to relocating)

We are a fast-growing quantitative investment firm focused on generating consistent, risk-adjusted performance across global markets. The team combines deep quantitative expertise with proprietary research technology that allows new ideas to be tested quickly and deployed efficiently. This is an opportunity to join a highly collaborative environment with clear progression into senior research and portfolio management roles.

The Role

As a Quantitative Research Analyst, you will contribute directly to the research and development of systematic trading strategies. You will work closely with portfolio managers, developers, and other researchers to turn data into actionable trading insights while continuously expanding your understanding of markets and quantitative methods.

Key Responsibilities

  1. Enhance and refine existing trading strategies to improve performance and scalability
  2. Research and develop new models, signals, and techniques designed to increase risk-adjusted returns
  3. Work closely with portfolio managers, researchers, and developers to translate complex research questions into practical, data-driven solutions
  4. Identify and evaluate new datasets, tools, and methodologies that can provide a competitive advantage
  5. Stay current with academic research and industry developments, and convert promising ideas into revenue-generating strategies

Requirements

  1. Strong quantitative and analytical skills with experience working on large and complex datasets
  2. Curious and adaptable mindset, with the ability to test new approaches and challenge assumptions when data supports it
  3. Solid programming and data analysis skills in Python and/or R
  4. Exposure to machine learning, statistical modelling, or optimisation techniques is a plus
  5. Bachelor’s degree in a technical discipline (e.g., Mathematics, Physics, Computer Science, Engineering, or similar) from a well-regarded university
  6. At least 2+ years of experience in a quantitative research role within finance or another data-intensive, technology-driven environment

Apply