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Quantitative Modeling Jobs (NOW HIRING)

Initio Capital

Quantitative Analyst (Quant)

New York, NY · Remote

$145K - $185K/yr

Quantitative Modeling: Develop and implement quantitative models to optimize trading strategies, risk management, and portfolio construction. * Statistical Analysis & Machine Learning: Use advanced ...

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How much do quantitative modeling jobs pay per year?

As of May 30, 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 job?

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 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 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.
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Quantitative Modeling jobs near you

Quantitative Modeling Intern

ExodusPoint Campus

New York, NY • On-site

$25 - $30/hr

Full-time, Internship

Posted 20 days ago

Job description

ABOUT EXODUSPOINT
ExodusPoint Capital, founded in 2017 by Michael Gelband, began managing investor capital in 2018. It is led by Michael Gelband (CEO, CIO and Co-Founder). The Firm employs a global multi-strategy investment approach, seeking to deliver compelling asymmetric returns by combining complementary liquid strategies managed by experienced investment professionals within a robust risk framework. ExodusPoint has brought together an accomplished team, with hands-on experience running multi-manager businesses, to create an institutional investment management firm.
JOB DESCRIPTION
ExodusPoint is seeking an entry-level candidate for an internship in the Quantitative Modeling (QM) team in New York. The QM team is responsible for all aspects underlying the use of valuation and risk models for financial securities across asset classes. Moreover, many quantitative modeling applications rely ever increasingly on the use of historical and scenario data. The ideal candidate will thus have a well-rounded educational background in a STEM discipline, financial engineering, and data science (Machine Learning, Artificial Intelligence).
Responsibilities:
  • Depending on educational background work on one of more of the following themes:
    • Library Quantitative Development (eg. pricing, financial or data model implementation related)
    • Financial or Data Modeling Analytics (eg. model improvements, securities pricing, financial or macro time series related)
    • Front-End Application Development (eg. end user applications in Excel or Python
    • Quantitative Analytics Infrastructure (eg. quant analytics platform related)
  • Expected Duration of the internship is 3-6 months

Qualifications:
  • Ongoing PhD level or Masters level studies from a top university in a STEM discipline
  • Applied mathematics, statistics and computation focused STEM disciplines preferred
  • Must have exposure to programming and development
  • Exposure to applied mathematics, statistics, data science
  • Exposure to financial engineering preferred, but not a must have
  • Exposure data science, ML and AI techniques is a plus
  • Interest for software development in C++, Python and add-in based Excel
  • Ability to learn new concepts, models, and technologies quickly
  • Intellectual maturity and scientific curiosity are a plus

The salary range for this position is $25-$30 per hour.

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