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Junior Quantitative Researcher Jobs (NOW HIRING)

Cubist's data services group is looking for a junior Quantitative Software Developer to join our ... Researching new technologies for improved data management and efficient retrieval. Requirements:

Lead high-stakes quantitative research projects, identify and win new business opportunities, build key accounts into long-term partnerships and mentor junior quanties on the team. When: Hiring ...

Lead high-stakes quantitative research projects, identify and win new business opportunities, build key accounts into long-term partnerships and mentor junior quanties' on the team. When: Hiring ...

Lead high-stakes quantitative research projects, identify and win new business opportunities, build key accounts into long-term partnerships and mentor junior quanties' on the team. When: Hiring ...

Lead high-stakes quantitative research projects, identify and win new business opportunities, build key accounts into long-term partnerships and mentor junior quanties' on the team. When: Hiring ...

We are seeking a Quantitative Research Analyst / Desk Quant to join our front-office Commodities ... junior candidates with directly relevant doctoral research will also be considered * Strong ...

We are seeking a Quantitative Research Analyst / Desk Quant to join our front-office Commodities ... junior candidates with directly relevant doctoral research will also be considered * Strong ...

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Junior Quantitative Researcher information

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$52.5K

$119.2K

$196.5K

How much do junior quantitative researcher jobs pay per year?

As of Aug 7, 2026, the average yearly pay for junior quantitative 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.

Are junior quantitative researchers in demand?

Junior quantitative researchers are in demand in finance, technology, and data-driven industries due to their skills in statistical analysis, programming, and modeling. Employers seek candidates with proficiency in tools like Python, R, and SQL, and the role often offers opportunities for career growth as data analysis becomes increasingly central to decision-making.

What is a typical day like for a junior quantitative researcher?

As a Junior Quantitative Researcher, your day typically involves gathering and analyzing large data sets, developing statistical models, and interpreting results to support the team’s projects. You may participate in team meetings to discuss research goals, help design experiments, and collaborate with more senior researchers or analysts. Expect to spend a significant amount of time coding, troubleshooting data issues, and preparing reports or presentations based on your findings. This role offers opportunities to learn from experienced team members, expand your technical skills, and contribute to important decision-making processes.

What is a junior quantitative researcher?

A Junior Quantitative Researcher is an entry-level role in finance, typically within hedge funds, investment banks, or asset management firms. They analyze financial data, develop statistical models, and create algorithms to identify market opportunities. The job involves programming, data analysis, and implementing quantitative strategies under the supervision of senior researchers. Strong mathematical, programming, and problem-solving skills are essential.

What are the key skills and qualifications needed to thrive as a junior quantitative researcher?

To thrive as a Junior Quantitative Researcher, you need strong analytical skills, a background in mathematics, statistics, or a related field, and proficiency with data analysis. Familiarity with programming languages such as Python, R, or MATLAB, as well as experience using statistical software and basic knowledge of database systems, is often required. Attention to detail, critical thinking, and effective communication are valuable soft skills for explaining findings and working within diverse teams. These capabilities are essential for accurately interpreting complex data and delivering actionable insights in research-driven environments.

More about Junior Quantitative Researcher jobs
What cities are hiring for Junior Quantitative Researcher jobs? Cities with the most Junior Quantitative Researcher job openings:
What are the most commonly searched types of Quantitative Researcher jobs? The most popular types of Quantitative Researcher jobs are:
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What job categories do people searching Junior Quantitative Researcher jobs look for? The top searched job categories for Junior Quantitative Researcher jobs are:
Infographic showing various Junior Quantitative Researcher job openings in the United States as of August 2026, with employment types broken down into 82% Full Time, 16% Part Time, and 2% Contract. Highlights an 75% Physical, 4% Hybrid, and 21% Remote job distribution, with an average salary of $119,165 per year, or $57.3 per hour.

Quantitative Software Developer

Point72

New York, NY • On-site

Full-time

Re-posted 20 hours ago


Job description

Role/Responsibilities:
We are passionate about data. We collaborate to build elegant, effective, scalable and highly reliable solutions to empower predictive modelling in finance.
Cubist's data services group is looking for a junior Quantitative Software Developer to join our dedicated team. Our group is responsible for the timely delivery of comprehensive and error-free data to some of the most demanding and successful systematic Portfolio Managers in the world.
This exceptional individual will be a member of a small team of data and software developers who play a vital role in ensuring the smooth day-to-day implementation of a large research infrastructure, and the live production trading of billions of dollars of capital across global capital markets, including equities, futures, options and other financial instruments.
Responsibilities include:
  • Building processes and technology tools to ingest, tag and clean datasets.
  • Assisting Data Scientists with data processing, enrichment, and product development.
  • Contributing to existing infrastructure and applications primarily written in Python, but also Go and C++.
  • Monitoring and enhancing the automated data collection and cleansing infrastructure.
  • Researching new technologies for improved data management and efficient retrieval.

Requirements:
  • B.S. or higher in computer science, engineering or a relevant quantitative field such as Mathematics, Statistics, Physics.
  • Proficiency in Python and its ecosystem (numpy, pandas, polars, scikit-learn), with an understanding of Python and library internals
  • Proficiency with Go and/or C++ is not required but is a big plus
  • Hands-on experience with software architecture and engineering best practices (testing, CI/CD, monitoring, profiling, version control)
  • Strong problem-solving skills, ability to analyze and solve intricate problems, optimize code, and develop efficient solutions in a fast-paced environment.
  • Intellectual curiosity and a love of learning.
  • Strong oral and written communication skills.
  • Commitment to the highest ethical standards.