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Quantitative Scientist Jobs (NOW HIRING)

Kpler

Quantitative Data Scientist

New York, NY

$70K - $100K/yr

The Quantitative Data Scientist will serve as a critical bridge between research and technology, enabling the firm's systematic trading and options research initiatives through robust data ...

23andme

Scientist, Population Genetics

Palo Alto, CA

23andMe is looking for a quantitative scientist with extensive experience in population genetics and statistical modeling of human genetics data to join our R&D team. You will leverage your expertise ...

23andMe

Scientist, Population Genetics

Palo Alto, CA · On-site

23andMe is looking for a quantitative scientist with extensive experience in population genetics and statistical modeling of human genetics data to join our R&D team. You will leverage your expertise ...

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 ...

Beacon Health System

Quantitative Analyst

Baltimore, MD · On-site

$150K/yr

Understand the theory and practical implementation of quantitative finance and data science techniques. * Design and implement new quantitative models - balanced across machine learning and classical ...

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Quantitative Scientist information

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$36.5K

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How much do quantitative scientist jobs pay per year?

As of Jul 14, 2026, the average yearly pay for quantitative scientist in the United States is $79,408.00, according to ZipRecruiter salary data. Most workers in this role earn between $57,500.00 and $93,000.00 per year, depending on experience, location, and employer.

What does a quantitative scientist do?

A quantitative scientist analyzes large datasets using statistical and mathematical models to identify patterns and inform decision-making. They often use programming languages like Python or R and have strong skills in statistics, data analysis, and financial or scientific modeling. Their work supports areas such as risk management, trading strategies, or product development.

What is the difference between Quantitative Scientist vs Quantitative Analyst?

AspectQuantitative ScientistQuantitative Analyst
Required CredentialsAdvanced degrees (Master's/PhD) often preferred, strong math/stats backgroundBachelor's or Master's degree, strong analytical skills
Work EnvironmentResearch-focused, developing models, often in finance or techData analysis, reporting, supporting trading or business decisions
Employer & Industry UsageFinancial firms, hedge funds, tech companiesBanking, investment firms, financial services
Common Search & Comparison IntentUnderstanding role differences, career pathsJob responsibilities, skills required

While both roles involve quantitative analysis, Quantitative Scientists typically focus on developing new models and algorithms, often requiring advanced degrees and research skills. Quantitative Analysts tend to apply existing models to support decision-making, with a focus on data analysis and reporting. The roles overlap in finance and tech industries, but differ in scope and complexity.

What jobs make $1,000,000 a year?

Quantitative scientists working in hedge funds, investment banks, or proprietary trading firms can earn $1,000,000 or more annually through base salary, bonuses, and profit sharing. High-level roles often require advanced degrees, strong programming skills, and experience in financial modeling or algorithm development.

What jobs pay 500,000 a year in the US?

Quantitative scientists in finance, such as quantitative analysts or researchers, can earn $500,000 or more annually, especially with bonuses and profit-sharing. High-level roles in hedge funds, investment banks, and proprietary trading firms often require advanced skills in mathematics, programming, and data analysis, along with significant experience. Compensation varies based on performance, firm size, and location, with senior positions and those managing large portfolios typically reaching this income level.

How much does a JP Morgan quant make?

Quantitative scientists at JP Morgan typically earn base salaries ranging from $100,000 to $150,000 annually, with total compensation including bonuses often exceeding $200,000. Compensation varies based on experience, performance, and location, and advanced skills in programming and statistical modeling are highly valued in this role.
More about Quantitative Scientist jobs
What cities are hiring for Quantitative Scientist jobs? Cities with the most Quantitative Scientist job openings:
What states have the most Quantitative Scientist jobs? States with the most job openings for Quantitative Scientist jobs include:
What job categories do people searching Quantitative Scientist jobs look for? The top searched job categories for Quantitative Scientist jobs are:
Quantitative Scientist jobs near you
Infographic showing various Quantitative Scientist 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 $79,408 per year, or $38.2 per hour.

Quantitative Data Scientist

Kpler

New York, NY

$70K - $100K/yr

Full-time

Posted 12 days ago

Job description

The Quantitative Data Scientist will serve as a critical bridge between research and technology, enabling the firm's systematic trading and options research initiatives through robust data acquisition, engineering, and analytics capabilities.

This role is responsible for sourcing and integrating new datasets, building and maintaining reliable research data pipelines, developing analytical processes to transform raw data into actionable insights, and supporting quantitative researchers with scalable tools and infrastructure. The ideal candidate combines strong software engineering skills with a solid mathematical and statistical foundation and is comfortable working hands-on with large financial datasets.

Your mission is to
  • Partner closely with quantitative researchers to identify, evaluate, and acquire new datasets relevant to trading and market research initiatives.
  • Design, build, and maintain reliable Python-based data pipelines for collecting, cleaning, transforming, and storing research data.
  • Develop automated workflows and processes to support systematic trading research and strategy development.
  • Create analytical frameworks and tooling to process large datasets and generate statistical insights.
  • Build and maintain research databases, data models, and data quality monitoring processes.
  • Perform exploratory data analysis and statistical investigations to support alpha generation and hypothesis testing.
  • Collaborate with researchers to operationalize research methodologies into repeatable analytical workflows.
  • Manage data infrastructure running on cloud or dedicated server environments, ensuring stability, reliability, and performance.
  • Document data sources, pipeline architecture, methodologies, and analytical processes to support knowledge sharing and reproducibility.
  • Stay current on emerging data sources, technologies, and quantitative research techniques relevant to financial markets and options trading.
It could be a match if you have
  • Circa 1-3 years of experience in data engineering, data science, quantitative technical role.
  • Strong Python programming skills with the ability to write clean, maintainable, and efficient code.
  • Experience building and maintaining automated data pipelines.
  • Strong understanding of probability, statistics, and quantitative analysis.
  • Solid mathematical foundation, including multivariable calculus, linear algebra, and statistical inference.
  • Experience working with large datasets and relational databases.
  • Demonstrated ability to translate research requirements into technical solutions.
  • Experience working in Linux/server-based environments.
 
Desirable:
  • Experience in financial markets, trading, or quantitative investing.
  • Familiarity with options markets, derivatives, and volatility products.
  • Experience supporting systematic trading or quantitative research teams.
  • Knowledge of cloud infrastructure (AWS, GCP, Azure).
  • Experience with time-series analysis and financial data.
  • Exposure to machine learning techniques and predictive modeling.
  • Experience working with alternative data sources.
$70,000 - $100,000 a year
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