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Quantitative Modeling Jobs (NOW HIRING)

IMC

Quantitative Developer - Derivatives

Chicago, IL · On-site

Our primary focus is options and volatility modeling, alongside support for a broader set of asset classes including fixed income, ETFs, and FX. This role sits at the intersection of quantitative ...

Freddie Mac

Quantitative Analytics Senior

Mclean, VA · On-site

As part of the Models & Analytics team, this role will primarily support Freddie Mac's Counterparty ... Develop, implement, and maintain quantitative models primarily for counterparty credit risk ...

Freddie Mac

Quantitative Analytics Senior

Mclean, VA · On-site

As part of the Models & Analytics team, this role will primarily support Freddie Mac's Counterparty ... Your Impact: • Develop, implement, and maintain quantitative models primarily for counterparty ...

IMC

Quantitative Researcher - Data Curation

Chicago, IL · On-site

$250K - $300K/yr

Perform data analysis ad statistical modeling to identify patterns and inefficiencies in the market * Ensure the accuracy, completeness, and timeliness of datasets used in quantitative modeling.

Franklin Templeton Investments

NY · On-site

This role blends quantitative analysis, applied financial modeling, data & model operations, and software development. You will analyze portfolio, market, and risk data to generate insights for ...

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$169.7K

$259.5K

How much do quantitative modeling jobs pay per year?

As of Sep 11, 2026, the average yearly pay for quantitative modeling in the United States is $169,729.00, according to ZipRecruiter salary data. Most workers in this role earn between $134,500.00 and $199,000.00 per year, depending on experience, location, and employer.

What is a quantitative modeling?

A Quantitative Modeling job involves using mathematical, statistical, and computational techniques to analyze data and construct models that help businesses make informed decisions. Professionals in this field work in finance, risk management, economics, and other industries to develop predictive models, optimize strategies, and assess uncertainties. They often use programming languages like Python, R, or MATLAB, along with machine learning and statistical methods, to solve complex problems.

What are typical daily tasks and projects for someone in a quantitative modeling role?

In a Quantitative Modeling position, your daily activities usually include analyzing large datasets, building and validating predictive models, and developing algorithms to solve business or financial problems. You might spend time coding, running simulations, and interpreting model outputs to inform strategy or risk assessment. Collaboration is common—you'll often work with data scientists, business analysts, or subject matter experts to refine models and ensure they're aligned with organizational goals. The work is intellectually stimulating and fast-paced, with opportunities to see your analytical insights directly impact decision-making.

What are the key skills and qualifications needed to thrive in the quantitative modeling position, and why are they important?

To excel in Quantitative Modeling, a strong foundation in mathematics, statistics, and data analysis is essential, often complemented by a degree in a quantitative field such as mathematics, finance, engineering, or physics. Proficiency in programming languages like Python, R, MATLAB, or statistical software, as well as familiarity with data visualization tools and financial modeling certifications (such as CFA or FRM), is highly valued. Effective quantitative modelers possess strong problem-solving abilities, attention to detail, and the ability to communicate complex findings clearly to both technical and non-technical stakeholders. These skills enable accurate, data-driven decision-making and the creation of robust predictive models in business, finance, or technology sectors.

What does a quantitative modeler do?

A quantitative modeler develops mathematical and statistical models to analyze financial data, assess risk, and support decision-making. They use programming languages like Python or R and tools such as Excel or specialized software, often working in finance, investment, or risk management environments.
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Quantitative Modeling jobs near you
Infographic showing various Quantitative Modeling job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 87% Full Time, 10% Part Time, and 2% Contract. Highlights an 81% Physical, 4% Hybrid, and 15% Remote job distribution, with an average salary of $169,729 per year, or $81.6 per hour.

Global Quantitative Strategies | Quantitative Researcher

Chicago, IL • On-site

Quant Blueprint LLC
See more jobs at Quant Blueprint LLCexternal

$200K - $300K/yr

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Job description

Job Description

About Global Quantitative Strategies (GQS)

GQS is the quantitative investment business of Citadel. Founded in 2012, GQS has rapidly grown to become one of Citadel's core investment strategies and one of the top quantitative investment teams in the world. Agile teams of researchers, engineers, and traders develop robust systems that allow us to operate performant at scale and apply advanced statistical and quantitative modeling techniques to identify and act on investment opportunities.

Quantitative Researchers (QRs) specialize in a variety of areas, including but not limited to: using sophisticated data analysis skills to build predictive models, driving construction of a complex multi asset portfolio by utilizing large scale portfolio optimization techniques, and developing sophisticated optimization algorithms. Researchers with an exceptional record of achievement in their respective fields and a drive to apply quantitative techniques to investing are encouraged to apply to GQS.

Required Skills and Qualifications
  • Advanced degree in Physics, Computer Science, Mathematics, Statistics, Engineering or a related field
  • Proven ability to conduct innovative and impactful research focused on solving real-world problems
  • Relentless focus on continuous learning and making an impact; ability to question the status quo
  • Strong mathematical and statistical modeling skills (e.g., time-series and cross-sectional analysis)
  • Proficiency in coding (C++ or Python preferred)
  • Demonstrated passion for financial markets and driven to analyze and model drivers of price formation and risk

In accordance with New York City's Pay Transparency Law, the base salary range for this role is $200,000 to $300,000. Base salary does not include other forms of compensation or benefits.

About Citadel

Citadel is one of the world's leading alternative investment managers. We manage capital on behalf of many of the world's preeminent private, public and nonprofit institutions. We seek the highest and best use of investor capital in order to deliver market leading results and contribute to broader economic growth. For over 30 years, Citadel has cultivated a culture of learning and collaboration among some of the most talented and accomplished investment professionals, researchers and engineers in the world. Our colleagues are empowered to test their ideas and develop commercial solutions that accelerate their growth and drive real impact.

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