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Quantitative Modeling Jobs (NOW HIRING)

IMC

Quantitative Developer - Derivatives

Chicago, IL · On-site

$175K - $250K/yr

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 ... Your Impact: • Develop, implement, and maintain quantitative models primarily for counterparty ...

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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.

Quantitative Analyst - COMPASS Modeling

Seattle, WA

Think Tank, Inc.
Photography Services • 11 - 50 employees
Learn more about Think Tank, Inc.external

Full-time

Re-posted 3 days ago

Job description

*Position is Subject to Contract Award

POSITION DESCRIPTION:

Description of Duties:

  • Develop and advance the Comprehensive Passage (COMPASS) model for application in river systems to evaluate effects of stressors and management actions across fish life cycles, using statistical modeling, computer modeling, statistical/quantitative analysis, and other quantitative modeling techniques.
  • Construct and implement models evaluating survival and migration through the hydropower system (COMPASS model) to address West Coast Regional Office requests in support of ESA litigation and permitting.
  • Collaborate with regional managers and researchers to structure, synthesize, and manage environmental and biological data relevant to modeling needs.
  • Document and share reproducible research workflows and analytical products.
  • Write reports, contribute to journal manuscripts, and present results at regional and national meetings and conferences, as needed.
  • Assist with field collection of fish and environmental data as needed (may involve riding in vehicles and/or boats).

EDUCATION & EXPERIENCE:

Required:

  • Education: Bachelor's degree or higher from an accredited college/university with a major related to the task order and a strong quantitative background, with emphasis in statistics, mathematics, fisheries, ecology, or the natural sciences.
  • Experience: Three (3) or more years of experience related to the task order.

Desired:

  • Master's degree preferred.
  • Advanced degree in a related field - may substitute for two (MS) or four (PhD) years of experience

CERTIFICATIONS: 

Required:

  • Valid U.S. driver's license - required and maintained throughout the period of performance.
  • Public trust suitability; background investigation cleared prior to beginning performance.
  • Government-required training to be completed within 5 business days of start: NOAA IT Security, NOAA Safety, Sexual Assault/Sexual Harassment Prevention & Response (NAM 1330-52.222-70(b)(6)), and Records Management 101.

RESPONSIBILITIES:

Required (Deliverables):

  • All analyses conducted with accepted methods and QA/QC.
  • Assigned statistical and biological modeling components completed and integrated into COMPASS and life cycle models for the Columbia River basin, and others as needed.
  • Reproducible analytical workflows documented; modeling scripts, methods, and results shared via open-science platforms (e.g., GitHub).
  • Written status reports and other ad hoc communications; participation in field tasks as needed.

SKILLS:

Required:

  • Extensive experience in modeling and data analysis; extensive experience executing statistical analysis and modeling in R, with strong R coding skills.
  • Familiarity interpreting or interfacing with C or C++ code within a scientific modeling context.
  • Familiarity with common workplace software such as Google Suite and Microsoft Office.
  • Excellent communication skills; experience writing reports and contributing to peer-reviewed articles; able to work independently and on interdisciplinary teams.

  • Desired:

    • Experience with Bayesian statistical methods and mark-recapture analysis preferred.
    • Computational experience with command-line environments (e.g., Linux/shell scripting) preferred; experience with open-science concepts.
    • Experience with Bayesian modeling programs Stan and JAGS preferred.

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