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Quantitative Modeling Analyst 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 ...

Initio Capital

Financial Modeling Analyst

New York, NY · On-site

$145K - $185K/yr

It is provided to help job seekers understand the responsibilities and qualifications typically associated with early-career roles focused on financial modeling, quantitative analysis, and ...

WSFS Bank

Quantitative Risk Analyst

Philadelphia, PA · On-site

$64.49K - $105.95K/yr

Communicating model mechanics and articulating nuances to leadership will be an important aspect of the role. This is a great opportunity for someone who is a modeler/statistician/data analyst/coder ...

WSFS Bank

Quantitative Risk Analyst

Philadelphia, PA

$64.49K - $105.95K/yr

Communicating model mechanics and articulating nuances to leadership will be an important aspect of the role. This is a great opportunity for someone who is a modeler/statistician/data analyst/coder ...

Wsfsbank

Quantitative Risk Analyst

Philadelphia, PA

$64.49K - $105.95K/yr

Communicating model mechanics and articulating nuances to leadership will be an important aspect of the role. This is a great opportunity for someone who is a modeler/statistician/data analyst/coder ...

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Quantitative Modeling Analyst information

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$56.5K

$133.9K

$240K

How much do quantitative modeling analyst jobs pay per year?

As of May 29, 2026, the average yearly pay for quantitative modeling analyst in the United States is $133,877.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,500.00 and $145,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Quantitative Modeling Analyst, and why are they important?

To thrive as a Quantitative Modeling Analyst, you need strong quantitative skills, a background in mathematics, statistics, or finance, and typically a relevant degree such as in mathematics, statistics, economics, or engineering. Proficiency with data analysis tools and programming languages like Python, R, MATLAB, and experience with statistical modeling software are commonly required. Analytical thinking, attention to detail, and effective communication skills help you stand out in translating complex data into actionable insights. These skills are crucial for accurately building models, interpreting results, and supporting data-driven decision-making in finance or business environments.

What are some of the typical challenges Quantitative Modeling Analysts face when collaborating with cross-functional teams?

Quantitative Modeling Analysts often work closely with teams from finance, IT, and business operations, which can present challenges such as communicating complex mathematical concepts to non-technical stakeholders and aligning model outputs with business objectives. Bridging the gap between technical model development and practical business application requires strong communication and collaboration skills. Additionally, analysts may need to adapt their models based on feedback from these teams, ensuring solutions are both accurate and actionable within operational constraints.

What does a Quantitative Modeling Analyst do?

A Quantitative Modeling Analyst uses mathematical models and statistical techniques to analyze data and solve complex problems in fields like finance, risk management, and business strategy. They develop and validate models to forecast outcomes, assess risks, and support decision-making. Their work often involves programming, data analysis, and collaborating with other teams to interpret results and improve business performance.

What is the difference between Quantitative Modeling Analyst vs Quantitative Analyst?

AspectQuantitative Modeling AnalystQuantitative Analyst
Required CredentialsDegree in Finance, Mathematics, or related field; often certifications like CFA or CQFSimilar credentials; often holds advanced degrees and certifications
Work EnvironmentFinancial institutions, hedge funds, asset management firmsFinancial firms, investment banks, asset managers
Primary FocusDeveloping and maintaining complex financial modelsAnalyzing data to inform investment decisions and risk management
Common UsageUsed when emphasizing model development and quantitative techniquesUsed for broader data analysis and investment strategy

While both roles require strong quantitative skills and similar credentials, the Quantitative Modeling Analyst primarily focuses on building and refining financial models, whereas the Quantitative Analyst often handles data analysis to support investment decisions. The roles overlap but differ in their core responsibilities within financial organizations.

More about Quantitative Modeling Analyst jobs
What cities are hiring for Quantitative Modeling Analyst jobs? Cities with the most Quantitative Modeling Analyst job openings:
What states have the most Quantitative Modeling Analyst jobs? States with the most job openings for Quantitative Modeling Analyst jobs include:
What job categories do people searching Quantitative Modeling Analyst jobs look for? The top searched job categories for Quantitative Modeling Analyst jobs are:
Quantitative Modeling Analyst jobs near you
Infographic showing various Quantitative Modeling Analyst job openings in the United States as of May 2026, with employment types broken down into 75% Full Time, 20% Part Time, and 5% Contract. Highlights an 75% Physical, 6% Hybrid, and 19% Remote job distribution, with an average salary of $133,877 per year, or $64.4 per hour.

Quantitative Modeling Intern

ExodusPoint Campus

New York, NY • On-site

$25 - $30/hr

Full-time, Internship

Posted 19 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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