ZipRecruiter

Log In

1

Quantitative Scientist 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 ...

Takeda

Associate Director, Statistics

Boston, MA · Hybrid

$64K - $64K/yr

The R&D Data and Quantitative Sciences organization influences senior leadership and stakeholders to advance Takeda's R&D pipeline. Central to Takeda's R&D operating model are the pillars of Data ...

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 ...

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 ...

Anson McCade

Quantitative Researcher

Manhattan, NY · On-site

Strong quantitative background (Mathematics, Statistics, Econometrics, Financial Engineering, Operations Research, Computer Science, or Physics). * * Proficiency in at least one programming or ...

next page

Showing results 1-20

All JobsQuantitative Scientist Jobs

Quantitative Scientist information

See salary details

$36.5K

$79.4K

$137.5K

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 Researcher

Anson McCade

Manhattan, NY • On-site

$200K/yr

Full-time

Re-posted 23 days ago

Job description

$200000 USD
50000
Onsite WORKING
Location: New York, New York - United States Type: Permanent
Quantitative Researcher
Junior level (internship - 3 years experience)
I am working with a globally recognised investment management firm that specialises in systematic and quantitative investing across a diverse range of financial markets. The firm employs a research-led approach to generate attractive risk-adjusted returns through a broad portfolio of quantitative trading strategies.
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 sophisticated investment platform supported by proprietary trading systems, large-scale data infrastructure, and advanced computational resources.
With teams based across multiple international locations, the organisation promotes a highly collaborative environment where investment and technology professionals work closely together. Alongside its systematic investment activities, the firm also operates discretionary strategies that complement its quantitative approach by targeting opportunities that may not be suitable for full automation.
The Opportunity
The firm is seeking a Quantitative Researcher to join its Systematic team in New York. This role offers the opportunity to contribute directly to the development, testing, and implementation of quantitative trading models, while working alongside experienced researchers, traders, and engineers.
Key Responsibilities
• Research and develop predictive signals and quantitative models for global equity markets.
  • Conduct statistical analysis on large and complex datasets to identify potential sources of alpha.
  • Manage the end-to-end research process, from idea generation and data preparation through to backtesting, optimisation, and implementation.
  • Evaluate alternative datasets and determine their potential value within existing and future investment strategies.
  • Monitor the performance of live strategies and contribute to their ongoing enhancement and maintenance.
  • Collaborate with trading and technology teams to improve research workflows and production systems.
  • Analyse strategy results and help refine portfolio construction and investment processes.
Requirements
  • Master's degree or PhD in a quantitative field such as Mathematics, Statistics, Physics, Engineering, Computer Science, Financial Engineering, Quantitative Finance, or a related discipline.
  • Strong Python programming skills and experience developing analytical or research tools.
  • Excellent understanding of statistical methods, probability theory, linear algebra, and time series analysis.
  • Experience handling and analysing large datasets, including data cleaning, transformation, and modelling.
  • Knowledge of financial markets and a keen interest in systematic investing and quantitative research.
  • Strong problem-solving ability with a proactive and ownership-driven mindset.
  • Excellent communication and collaboration skills, with the ability to work effectively both independently and as part of a global team.
If you are interested in learning more about this opportunity, please apply.

Apply