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Quantitative Science Jobs in New York (NOW HIRING)

Amicis Global

Quantitative Analyst

Jersey City, NJ · On-site

$75 - $85/hr

We are looking for a Data Scientist who can work with the developers and Data Analysts to perform analytics, develop risk and quant models around Insider Risk data. Ultimately, we want to create a ...

Verana Health

Senior Quantitative Scientist, Implementation

New York, NY · On-site +1

$100K - $136K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Senior Quantitative Scientist, Implementation Why This Role Matters: As a Senior Quantitative ... The Data & Science team's work directly improves quality of care for patients, and your technical ...

New

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 ...

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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$107.2K

$185.7K

$283.9K

How much do quantitative science jobs pay per year?

As of Aug 14, 2026, the average yearly pay for quantitative science in New York is $185,689.00, according to ZipRecruiter salary data. Most workers in this role earn between $147,100.00 and $217,700.00 per year, depending on experience, location, and employer.

What does a quantitative science do?

A professional in quantitative science analyzes numerical data to solve complex problems, often using statistical, mathematical, and computational methods. They work in fields like finance, research, or technology, utilizing tools such as programming languages and data analysis software to develop models and inform decision-making.

What is a quantitative science?

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.

Is quantitative science a good career?

Quantitative science is a strong career choice for individuals with skills in mathematics, statistics, and programming, often leading to roles in data analysis, finance, or research. It offers high demand, competitive salaries, and opportunities for advancement, especially with proficiency in tools like Python, R, or MATLAB. Success in this field typically requires continuous learning and strong analytical abilities.

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 are popular job titles related to Quantitative Science jobs in New York?

For Quantitative Science jobs in New York, the most frequently searched job titles are:

What job categories do people searching Quantitative Science jobs in New York look for?

The top searched job categories for Quantitative Science jobs in New York are:

Quantitative Science jobs near you
Infographic showing various Quantitative Science job openings in New York as of August 2026, with employment types broken down into 1% Internship, 1% As Needed, 73% Full Time, 21% Part Time, 1% Temporary, and 3% Contract. Highlights an 77% Physical, 4% Hybrid, and 19% Remote job distribution, with an average salary of $185,689 per year, or $89.3 per hour.

Quantitative Researcher - Data Science

Squarepoint Capital

New York, NY

$185K/yr

Full-time

Posted 17 days ago

Job description

Squarepoint Services US LLC seeks a Quantitative Researcher - Data Science for its New York, New York location.

Duties: Performing independent and collaborative research on statistical and probabilistic theories. Developing and maintaining effective and efficient computer programs that can be used for financial modeling. Actively collaborating with various teams within Squarepoint to update, optimize, and add new features to current models and workflows to accommodate the emerging demands and requests from the markets. Assisting team's senior quantitative researchers in building, validating, releasing, and maintaining highly complex automated predictive models.

Requirements: Must have a minimum of a Master's degree or foreign equivalent in any STEM (Science, Technology, Engineering, or Math) field of study and 2 years of experience as a Quantitative Researcher or related position for an investment/asset management organization focusing on probability, statistics, time series analysis, optimization, data science, and machine learning. Must have at least two (2) years of employment experience with each of the following required skills: Bayesian statistics; Optimization; Scientific computing/numerical analysis; Analyzing large datasets and fitting, evaluating, deploying statistical/ML models; Writing high-quality code in a collaborative setting

Salary / Rate Minimum/yr: $150,000

Salary / Rate Maximum/yr: $185,000

40 hours/week. The minimum and maximum salary/rate information above include only base salary or base hourly rate. It does not include any other type of compensation or benefits that may be available. Squarepoint is an EEO/AA employer

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