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Quantitative Research Jobs (NOW HIRING)

MFS

Quantitative Research Analyst

Boston, MA · Hybrid

$175K/yr

THE ROLE Be part of a team of quantitative analysts and portfolio managers developing and managing a set of quant/fundamental blend equity strategies. Research enhancements to stock selection models ...

PIMCO

Quantitative Research Analyst

Newport Beach, CA · On-site

We are seeking a Quantitative Research Analyst to join us in our Newport Beach, CA office to continue to build upon our expansive quantitative capabilities and help drive new initiatives in our ...

IMC

Quantitative Researcher - Options

Chicago, IL

Collaborate with the trading and quantitative research team to evaluate existing algorithms * Combine knowledge of systems, mathematical techniques and trading to identify the best places to improve ...

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Quantitative Research information

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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.
Quantitative Research Developer

Quantitative Research Developer

Stevens Capital Management LP

Radnor, PA • On-site

$150K - $300K/yr

Full-time

Medical, Dental, Retirement

Posted yesterday

Job description

SCM is committed to a workplace that values and promotes diversity, inclusion and equal employment opportunity by ensuring that all employees are valued, heard, engaged and involved at work and have full opportunities to collaborate, contribute and grow professionally.
We're seeking a highly driven, production-oriented quantitative research developer who has strong technical skills, first-hand experience with tick data, and interest in the intersection of market microstructure and alpha generation. SCM offers the opportunity to work in person, remotely or in a hybrid work environment.
Primary Responsibilities:
  • Design, develop and support simulation frameworks for backtesting execution approaches.
  • Work with other quantitative researchers to develop new trading ideas.

Requirements:
  • Proficiency and experience in C++ and Python.
  • Experience researching, building and maintaining trading systems utilizing market data.
  • Strong understanding of data path from tick to trade.
  • Experience analyzing time series data.
  • Experience with large data sets.
  • Excellent verbal and written communication skills.
  • Strong work ethic and desire for excellence.
  • Desire to think critically and creatively.

The base pay for this position is anticipated to be between $150,000 and $300,000 per year. The anticipated annual base pay range is current as of the time this job post was generated. This position is eligible for other forms of compensation and benefits, such as a bonus, health and dental plans and 401(k) contributions, which includes a discretionary profit sharing program. An employee's bonus and related compensation benefits can be a significant portion of total compensation. Actual compensation for successful candidates will be carefully determined based on a number of factors, including their skills, qualifications and experience.

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