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Quantitative Science Jobs (NOW HIRING)

Anson McCade

Quantitative Researcher

Manhattan, NY · On-site

$200K/yr

Technology, data, and scientific research sit at the heart of the organisation. By combining expertise across quantitative research, trading, engineering, and operations, the firm has developed a ...

T Rowe Price

Quantitative Researcher

Manhattan, NY · Hybrid

S. in a quantitative discipline (Computer Science, Applied Mathematics, Statistics, or related field) * Exceptional analytical and problem-solving skills, blending both quantitative rigor and ...

Ohalo

Quantitative Geneticist

South San Francisco, CA · On-site +1

Quantitative Geneticist, Predictive Breeding Location: South San Francisco, CA Time Type: Full Time ... You will be at the nexus of genetics, data science, and engineering, designing the predictive ...

Reddit

Principal Data Scientist, Ads

Reddit's Ads Data Science team is seeking a highly motivated Principal Data Scientist to drive the strategic application of advanced quantitative methods across our advertising platform to advance ...

Seven Research

Quantitative Researcher

New York, NY

$200K - $300K/yr

PhD, master's, or bachelor's degree in computer science, statistics, physics, or a related ... quantitative field * Intellectual curiosity and passion to uncover the inner workings of the global ...

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Quantitative Science information

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$98K

$169.7K

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How much do quantitative science jobs pay per year?

As of Jul 11, 2026, the average yearly pay for quantitative science 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 does a quantitative scientist do?

A quantitative scientist analyzes data using mathematical models, statistical techniques, and programming tools to solve complex problems. They often work in finance, research, or technology sectors, developing algorithms and predictive models to inform decision-making.

What is a Quantitative Science job?

A Quantitative Science job involves applying mathematical, statistical, and computational techniques to analyze data and solve complex problems. Professionals in this field work across industries such as finance, healthcare, technology, and research, using models and algorithms to derive insights and make data-driven decisions. They often work with large datasets, employing machine learning, statistical modeling, and data visualization to interpret results. Strong analytical skills and proficiency in programming languages like Python, R, or SQL are commonly required.

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

To thrive in a Quantitative Science role, you need a strong background in mathematics, statistics, and data analysis, typically supported by an advanced degree in a quantitative discipline. Familiarity with programming languages such as Python or R, statistical modeling software, and experience with data visualization tools are highly valued. Problem-solving, critical thinking, and the ability to communicate complex findings clearly are important soft skills for success. These abilities are essential for accurately interpreting data, informing business or research decisions, and collaborating effectively with multidisciplinary teams.

Does JP Morgan hire quants?

JP Morgan actively hires quantitative analysts, often referred to as quants, for roles in trading, risk management, and financial modeling. These positions typically require strong skills in mathematics, programming, and data analysis, and candidates often hold advanced degrees in quantitative fields. The firm offers opportunities for quants to work with sophisticated models and tools like Python, R, and MATLAB.

What are some typical projects or tasks a Quantitative Science professional might work on?

A Quantitative Science professional often works on projects such as developing predictive models, designing experiments or surveys, analyzing large datasets, and reporting findings to stakeholders. You might collaborate closely with data engineers, business analysts, and subject matter experts to translate complex data insights into actionable recommendations. It's common to use statistical software and programming languages daily, and project work can range from short-term analyses to long-term research initiatives. The role offers a stimulating mix of independent analytical work and cross-functional teamwork, with opportunities to contribute to strategic decisions within an organization.

What careers use quantitative research?

Quantitative science careers include roles such as data analyst, quantitative analyst, financial analyst, research scientist, and data scientist. These positions involve analyzing numerical data, developing models, and using tools like statistical software and programming languages such as Python or R to inform decision-making across industries like finance, healthcare, technology, and academia.

What are some quant jobs?

Quantitative science jobs include roles such as quantitative analyst, data scientist, quantitative researcher, risk analyst, and algorithm developer. These positions typically require strong skills in mathematics, programming, and statistical analysis, often using tools like Python, R, or MATLAB. They are common in finance, technology, and research institutions.
More about Quantitative Science jobs
What cities are hiring for Quantitative Science jobs? Cities with the most Quantitative Science job openings:
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What job categories do people searching Quantitative Science jobs look for? The top searched job categories for Quantitative Science jobs are:
Quantitative Science jobs near you
Infographic showing various Quantitative Science job openings in the United States as of July 2026, with employment types broken down into 85% Full Time, 14% Part Time, and 1% Contract. Highlights an 75% Physical, 4% Hybrid, and 21% Remote job distribution, with an average salary of $169,729 per year, or $81.6 per hour.

Junior Model Based Systems Engineer (MBSE) U.S. Citizenship Required

Trigon Cyber, Inc.

Huntsville, AL • On-site

Full-time

Re-posted 4 days ago

Job description

Salary:

Job Description:

The Junior MBSE should ideally have beginner-level experience in one or more of the following: developing and coordinating Government customer requirements, system model descriptions, verification, specifications, test plans, and system risks and design reviews using a SysML tool. We welcome candidates with strong quantitative and analytical backgrounds, including those from biomedical, biological, or computational research fields, who demonstrate the ability to learn and apply systems modeling methodologies.


Required Qualifications:

  • U.S. citizenship and Huntsville, Alabama area residency
  • Bachelors Degree in an engineering discipline (e.g., systems, aerospace, electrical, biomedical, etc.) or a related technical field such as computational biology, bioinformatics, or other quantitative sciences
  • Basic understanding of requirements and requirements specifications; candidates with experience defining research objectives, experimental protocols, or data pipeline specifications are encouraged to apply
  • Ability to learn Systems Modeling Language (SysML) and related languages such as UML or BPMN; candidates with experience in structured modeling environments (e.g., network models, statistical models, or simulation frameworks) are well-positioned to succeed
  • Ability to learn SysML modeling tools such as Cameo EA (a.k.a. MagicDraw)
  • Ability to work in a collaborative, team-oriented environment
  • Strong analytical and problem-solving skills; experience with data analysis, quantitative research, or computational methods is a plus


Desired Qualifications:

  • 12 years of experience working with a DoD government client or in a research environment involving complex systems, data integration, or multi-disciplinary teams
  • Familiarity with Cameo EA or other modeling or simulation tools such as Sparx EA or MATLAB; candidates with MATLAB experience from academic or research settings are strongly encouraged
  • Familiarity with programming languages such as Python, R, C++, or similar; experience using Python or R for data analysis, scripting, or automation is directly applicable
  • Experience with systems-level thinking: designing experiments with defined inputs, outputs, and verification criteria (e.g., thesis research, multi-omics pipelines, or engineering design projects)
  • Experience communicating complex technical findings to diverse audiences (e.g., presentations, publications, design reviews, or symposia)
  • Advanced degree (M.S. or Ph.D.) in an engineering or quantitative science discipline is a plus


Security Requirements:

Candidate must possess or be able to obtain and maintain a Final Secret Clearance.