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Quantitative Methods Jobs (NOW HIRING)

Compeer Financial

Quantitative Analyst

Bloomington, IL · On-site

Uses quantitative methods to research modeling methodology for the development, refinement and ... parameter updates for risk/reward-based framework. A typical day: * Examines large data sets to ...

Compeer Financial

Quantitative Analyst

Bloomington, IL · Hybrid

Uses quantitative methods to research modeling methodology for the development, refinement and ... parameter updates for risk/reward-based framework. A typical day: * Examines large data sets to ...

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Quantitative Methods information

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$31K

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$146K

How much do quantitative methods jobs pay per year?

As of Jun 27, 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 does quantitative mean?

In the context of quantitative methods, it refers to the use of numerical data, statistical analysis, and mathematical models to solve problems or make decisions. Quantitative skills are essential for roles that involve data analysis, modeling, and interpreting large datasets using tools like Excel, R, or Python.

What is an example of quantitative?

Quantitative methods involve the use of numerical data and statistical analysis to inform decision-making. For example, a quantitative analyst might analyze stock prices or financial metrics using tools like Excel or statistical software to identify trends and make forecasts.

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.

What is quantitative vs qualitative?

Quantitative methods in a job context involve collecting and analyzing numerical data to identify patterns and make decisions, often using statistical tools and software. Qualitative methods focus on understanding opinions, motivations, and behaviors through non-numerical data like interviews and observations. Both approaches are valuable in roles requiring data analysis, research, or decision-making skills.

What are the synonyms of quantitative?

In the context of quantitative methods, synonyms include numerical, statistical, measurable, and data-driven. These terms emphasize the use of numbers, data analysis, and statistical techniques common in roles that require quantitative skills, such as data analysis, financial modeling, and research.
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Quantitative Methods jobs near you
Infographic showing various Quantitative Methods job openings in the United States as of June 2026, with employment types broken down into 89% Full Time, and 11% Part Time. 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.
Fixed Income - Quantitative Investment Analyst - Portfolio Construction

Fixed Income - Quantitative Investment Analyst - Portfolio Construction

T Rowe Price

Baltimore, MD • Hybrid

Other

Posted 29 days ago

T. Rowe Price rating

9.1

Company rating: 9.1 out of 10

Based on 21 frontline employees who took The Breakroom Quiz

Job description

Do you excel in quantitative portfolio optimization for bond funds? Have you consistently helped fixed-income fund managers create more efficient portfolios? Join T. Rowe Price-this role is for you!

Role Summary

The Quantitative Investment Analyst is an investment role within the Fixed Income division at T. Rowe Price.The role resides within the Fixed Income Quantitative Investments and Research (FI Quant) group, as part of the Portfolio Research Group.The Portfolio Research Group seeks to enhance portfolio risk-adjusted returns by applying quantitative methods to: (a) advise portfolio managers on position sizing and optimal combination of positions in portfolios; (b) advise portfolio managers on risks not immediately covered by standard models; (c) capitalize on long-term market inefficiencies and risk premia as well as capture value from shorter-term dislocations.

The team requires an experienced quantitative researcher to conduct analysis in applied portfolio construction. A successful candidate will frequently interact with Fixed Income portfolio managers and senior Fixed Income leadership to advocate for implementation of relevant ideas and methods in fixed income portfolios.

Responsibilities

  • Conduct quantitative research applied to US fixed income portfolios, involving sizing and combination of sectors, strategies and alpha signals, including off-benchmark segments
  • Integrate solid risk-awareness in portfolio construction models, accounting for risk in normal and stressed market environments
  • Proactively advocate for enhancing portfolio performance by applying appropriate quantitative methodologies and effectively collaborate with portfolio managers towards this goal
  • Work with Technology partners to productionize models

Qualifications

Required:

  • Degree in quantitative discipline. Master's or higher preferred
  • 7+ years of investing experience
  • Experience and expertise in fixed income markets, securities, and derivatives instruments, especially instruments that involve credit risk.
  • Understanding of quantitative portfolio construction and optimization techniques
  • Proficiency with R or Python programming language
  • Ability and willingness to leverage AI tools available in the company to boost efficiency is highly valued
  • Familiarity with risk forecast models
  • Self-motivated, independent, detail oriented and intellectually curious
  • Strong communication skills, with ability to influence others. Creative problem solver

Preferred:

  • CFA designation
  • Experience with US Securitized products, especially Mortgage Backed Securities (Agency and Non-Agency)

FINRA Requirements

FINRA licenses are not required and will not be supported for this role.

Work Flexibility

This role is eligible for hybrid work, with up to one day per week from home.

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