ZipRecruiter

Log In

1

Quant Researcher Jobs (NOW HIRING)

Quanta Search

Systematic Quant Researcher

New York, NY · On-site

... quantitative techniques and market intuition to large datasets. You will be advancing existing initiatives and pursuing new, previously unexplored research topics. You get todevelop systematic ...

Quanta Search

Systematic Quant Researcher

New York, NY · On-site

... quantitative techniques and market intuition to large datasets. You will be advancing existing initiatives and pursuing new, previously unexplored research topics. You get to develop systematic ...

GTS

Quant Researcher, ETF Pricing & Analytics

Manhattan, NY · On-site

$150K - $225K/yr

Overview The ETF trading group at GTS is seeking applications for the role of Quant Researcher. The successful candidate will be part of the team evaluating, optimising and producing analytics on the ...

GTS

Quant Researcher, ETF Pricing & Analytics

Manhattan, NY · Hybrid

$150K - $225K/yr

Overview The ETF trading group at GTS is seeking applications for the role of Quant Researcher. The successful candidate will be part of the team evaluating, optimising and producing analytics on the ...

GTS

Quant Researcher, ETF Pricing & Analytics

Manhattan, NY · Hybrid

$150K - $225K/yr

Overview The ETF trading group at GTS is seeking applications for the role of Quant Researcher. The successful candidate will be part of the team evaluating, optimising and producing analytics on the ...

next page

Showing results 1-20

People also search for

All JobsQuant Researcher Jobs

Quant Researcher information

See salary details

$52.5K

$119.2K

$196.5K

How much do quant researcher jobs pay per year?

As of May 29, 2026, the average yearly pay for quant researcher in the United States is $119,165.00, according to ZipRecruiter salary data. Most workers in this role earn between $78,500.00 and $152,500.00 per year, depending on experience, location, and employer.

What does a Quant Researcher do?

A Quant Researcher develops mathematical models and algorithms to analyze financial markets, identify trading opportunities, and optimize investment strategies. They use statistical techniques, programming skills, and financial knowledge to extract insights from large datasets. Common responsibilities include backtesting strategies, implementing machine learning models, and collaborating with traders and developers. Most Quant Researchers have strong backgrounds in mathematics, statistics, computer science, or physics.

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

To thrive as a Quant Researcher, you need a strong background in advanced mathematics, statistics, and programming, often supported by a graduate degree in a quantitative field such as mathematics, physics, computer science, or engineering. Expertise in technical tools such as Python, R, MATLAB, and familiarity with data analysis platforms and financial modeling libraries is typically required. Critical thinking, problem-solving abilities, and effective communication are important soft skills that help you convey complex quantitative findings to both technical and non-technical stakeholders. These skills enable Quant Researchers to develop robust financial models, optimize strategies, and contribute to data-driven decision-making in competitive finance environments.

What does a typical day look like for a Quant Researcher, and how do they interact with other teams?

A typical day for a Quant Researcher often involves designing, coding, and testing quantitative models to analyze financial markets or strategies, as well as interpreting large datasets to extract actionable insights. You might spend time collaborating with traders, portfolio managers, or software engineers to refine trading algorithms or improve risk models. Frequent meetings and brainstorming sessions are common, as sharing ideas is key to innovation and solving complex problems. This close teamwork fosters a dynamic, intellectually stimulating environment and helps ensure that quantitative insights are effectively integrated into business decisions.
More about Quant Researcher jobs
What cities are hiring for Quant Researcher jobs? Cities with the most Quant Researcher job openings:
What are the most commonly searched types of Quant Researcher jobs? The most popular types of Quant Researcher jobs are:
What states have the most Quant Researcher jobs? States with the most job openings for Quant Researcher jobs include:
What job categories do people searching Quant Researcher jobs look for? The top searched job categories for Quant Researcher jobs are:
Quant Researcher jobs near you
Infographic showing various Quant Researcher job openings in the United States as of May 2026, with employment types broken down into 92% Full Time, 7% Part Time, and 1% Contract. Highlights an 82% Physical, 11% Hybrid, and 7% Remote job distribution, with an average salary of $119,165 per year, or $57.3 per hour.

Delta One Quant Researcher

Quanta Search

Manhattan, NY

Other

Posted 2 days ago

Job description

Our client, a robust US HedgeFund, is currently seeking a Quantitative Researcher for the firm's Delta One group. The group is focused onquantitativemarket making and arbitrage strategies in numerous derivative products around the world.Jumping between machine-driven data analysis and our thoughts, we establish meaningful relationships among financial products. Whether we're generating, testing, or challenging our own hypotheses to create or improve complex trading strategies, we're constantly learning and exploring new and unknown solutions.
The ideal candidate should be well-rounded, highly driven, andexcited to develop creative solutions to challenging real-world trading and data science problems. Candidates should exhibit genuine interest in cutting edge developments in computer science, trading, and data science.
Responsibilities
Responsibilities for this role include developing the group's simulation capabilities, testing and deploying quantitative strategies and strategy improvements, and building research tools and applications. Candidates should have an utmost interest in research, as there are very limited clear or definite answers to the problems we work on. Candidates must also be passionate about solving real world problems with data involving uncertainty, generally by looking at relationships acrossfinancial assets.
Requirements
  • Bachelor's degree or higher, preferably in Computer Science, Engineering or Mathematics
  • Minimum of 1-2 years of relevant experience.
  • Excellent quantitative, problem solving and analytical skills
  • Expert level Python and strong C++ skills
  • Motivated, competitive, and eager to learn
  • Familiarity with machine learning libraries and techniques
  • Ability to manage multiple competing priorities and thrive in a fast-paced and challenging environment
  • Strong communication and organizational skills
  • Excellent attention to detail, accuracy and a thorough understanding of full life-cycle development and performance optimization/latency reduction methodologies.
Additional Helpful Skills
  • Team-based quantitative/automated trading experience
  • Knowledge of complex financial products and derivatives
  • Experience working with large-scale, low-latency C++ trading systems
  • Previous experience working with large scale data-platforms

Apply