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Quantitative Research Jobs (NOW HIRING)

Point72

Quantitative Research Intern

Seattle, WA

This is an opportunity for students and researchers of advanced data modeling and statistical ... MS, or PhD candidates in finance, computer science, mathematics, physics, or other quantitative ...

Point72

Quantitative Research Intern

New York, NY · On-site

This is an opportunity for students and researchers of advanced data modeling and statistical ... MS, or PhD candidates in finance, computer science, mathematics, physics, or other quantitative ...

Lumanity

The Lumanity Patient-Centered Outcomes (PCO) team wishes to hire a Quantitative Research Analyst in this US-based hybrid role, to support Clinical Outcomes Assessment (COA) projects by producing high ...

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How much do quantitative research jobs pay per year?

As of Jun 9, 2026, the average yearly pay for quantitative research in the United States is $100,127.00, according to ZipRecruiter salary data. Most workers in this role earn between $91,500.00 and $103,000.00 per year, depending on experience, location, and employer.

Is 40 too old to become a quant?

Quantitative research is a field that values skills, experience, and strong mathematical and programming abilities over age. Many professionals transition into quant roles later in their careers, and relevant skills in programming languages like Python or C++, along with a solid understanding of finance and statistics, are often more important than age. Age should not be a barrier if you have the necessary qualifications and dedication.

What is a Quantitative Research job?

A Quantitative Research job involves analyzing large datasets using mathematical models, statistical techniques, and programming to identify patterns, trends, and insights. Professionals in this field work in industries like finance, technology, and economics to develop data-driven strategies and predictions. They often use programming languages such as Python, R, or MATLAB and collaborate with traders, engineers, and analysts to optimize decision-making.

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

To thrive in Quantitative Research, a solid background in mathematics, statistics, and data analysis is essential, often complemented by an advanced degree in a quantitative field such as mathematics, finance, or computer science. Proficiency in statistical programming languages like Python or R, familiarity with data visualization tools, and experience with large data sets are commonly required. Strong problem-solving ability, attention to detail, and effective communication skills help analysts distill complex findings into actionable insights. These competencies are crucial for accurately interpreting data, delivering robust research, and driving decision-making in data-driven environments.

What does a typical day look like for someone in a Quantitative Research role?

A typical day in Quantitative Research involves analyzing large datasets, designing statistical models, back-testing strategies, and collaborating closely with other researchers, data scientists, and sometimes software engineers. You may spend time coding, conducting peer review of models, presenting findings to stakeholders, and refining research methodologies based on feedback or new market developments. The work environment is often collaborative, intellectually stimulating, and fast-paced, especially in industries like finance or technology where quick decision-making is key. This variety ensures that each day brings both new challenges and opportunities to learn and make a tangible impact on business outcomes.

More about Quantitative Research jobs
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Quantitative Research jobs near you
Infographic showing various Quantitative Research job openings in the United States as of May 2026, with employment types broken down into 1% Locum Tenens, 42% Full Time, 49% Part Time, 2% Temporary, and 6% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $100,127 per year, or $48.1 per hour.

Sr Quantitative Researcher (options)

Quanta Search

Chicago, IL • On-site

Other

Posted 24 days ago

Job description

Our client helps the world price and manage risk. Their culture is highly collaborative across traders, quants, technologists and development teams who work together to solve the toughest problems markets have to offer. Theystrive to make a positive impact on theindustry, the lives of theiremployees, and the communities to which theybelong.

THE ROLE:

Quantitative research is a key driver of innovation andone of the pillars upon which thefirm is built. Our client isseeking an experienced Senior Quantitative Researcher to strategically partner with Trading and Technology to strengthen, scale, and evolve the firm's trading capabilities within theircore Options Market Making (OMM) business. As a Senior Quantitative Researcher, you will be central to a trading desk, working close to the "tip of the spear" in a dynamic environment. This includes partnership with trading through quantitative problem solving, trading strategy generation, back-testing, statistical analysis, and system design.

WHAT YOU WILL DO:

  • Partner directly with trading to turn market observation and intuition into working hypotheses
  • Collaborate with trading and technology to build world class options pricing models that help us describe the ever-changing world around us
  • Use intuition, data, and first principles to own the reliability of both current models and new candidate models
  • Drive a rapid innovation cycle that produces demonstrable wins through the feedback loop of quantitative research, trading, post-trade analysis, and iterative workflows
  • Autonomously conduct research and experiments to improve existing strategies and deploy new strategies that monetize opportunities in a constantly evolving market environment.
  • Build data-based tools and workflows to further systematize our approach to trading and risk management.
  • Learn from an experienced team with a diverse knowledge base across trading, quant, and technology
  • Lead, mentor, and develop other quants
  • Share in the responsibility of driving strategy level and portfolio level Net Trading Profits

WHAT WE'RE LOOKING FOR

  • Advanced quantitative research capabilities with a demonstrated track record in the derivatives industry
  • History of success working in a team first environment - we hold the success of the team above personal recognition
  • Ability to learn from mistakes and continuously improve
  • Excellent communication skills - ability to effectively deconstruct complex systems and ideas into simpler concepts that are explainable to all levels of experience, both written and verbally
  • Track record of mentoring, developing and leading quants or research teams
  • Demonstrated ability to take your own ideas or those of others and elevate them into tangible actions and results.
  • Expertise in C++ or Python required
  • PhD is not required, but will be thoughtfully considered in the application process

Apply