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Remote Entry Level Quantitative Researcher Jobs (NOW HIRING)

Engineers Gate

Quantitative Researcher

$150K - $200K/yr

Quantitative Researcher Location: U ... S. Remote *Telecommuting permitted: work may be performed in any location in the U.S. DUTIES:

WestEd

Quantitative Research Associate

San Francisco, CA · On-site +1

The decision to allow remote work at the employee's convenience is based on the requirements of the ... At least three years' direct work experience in educational research, quantitative social science ...

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Remote Entry Level Quantitative Researcher information

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$52.5K

$119.2K

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How much do remote entry level quantitative researcher jobs pay per year?

As of Jun 24, 2026, the average yearly pay for remote entry level 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.

What are the key skills and qualifications needed to thrive as a Remote Entry Level Quantitative Researcher, and why are they important?

To thrive as a Remote Entry Level Quantitative Researcher, you need strong analytical skills, a solid foundation in statistics or mathematics, and at least a bachelor's degree in a quantitative field such as mathematics, statistics, computer science, or economics. Familiarity with programming languages like Python or R, data analysis tools, and statistical software (e.g., MATLAB, SAS, or Stata) is typically required. Critical thinking, attention to detail, and effective remote communication are important soft skills for collaborating with teams and presenting research findings. These skills ensure accurate data analysis and effective problem-solving, which are vital for generating actionable insights in a remote research environment.

How to make $2000 a week working from home?

A remote entry-level quantitative researcher can potentially earn $2000 weekly by working full-time hours, leveraging skills in data analysis, programming, and statistical tools like Python or R. Achieving this income may require advanced skills, experience, and possibly freelance or consulting work in addition to a stable remote position.

What is a Remote Entry Level Quantitative Researcher?

A Remote Entry Level Quantitative Researcher is a professional who analyzes numerical data, develops statistical models, and helps solve complex problems for a company or organization while working from a remote location. This role typically involves tasks such as data collection, statistical analysis, and supporting research projects under the supervision of senior researchers. Entry level positions are designed for recent graduates or those new to the field, providing training and mentorship to build foundational quantitative skills. Working remotely allows for flexible location and often involves collaborating with teams through digital communication tools.

Is 30 too late to become a quant?

Becoming a remote entry-level quantitative researcher at age 30 is feasible, as many professionals transition into quant roles later in their careers. Success often depends on acquiring relevant skills such as programming, statistics, and financial knowledge, which can be gained through online courses, certifications, or self-study regardless of age.

What is the difference between Remote Entry Level Quantitative Researcher vs Remote Data Analyst?

AspectRemote Entry Level Quantitative ResearcherRemote Data Analyst
Required CredentialsBachelor's in Math, Statistics, or related field; some roles may prefer internshipsBachelor's in Data Science, Statistics, or related field; certifications like SQL or Excel often preferred
Work EnvironmentResearch-focused, often in finance, tech, or consulting firms; collaborative teamsData-focused, in various industries including finance, healthcare, and marketing; often cross-functional teams
Employer & Industry UsageCommon in finance, tech, and consulting sectors; entry-level roles for research projectsWidespread across industries; entry-level roles for data analysis and reporting

Remote Entry Level Quantitative Researchers focus on developing models and analyzing data for research purposes, often in finance or tech. Remote Data Analysts interpret data sets to inform business decisions. While both roles require similar educational backgrounds, the researcher emphasizes modeling and theoretical analysis, whereas the analyst concentrates on data interpretation and reporting.

What are some common challenges faced by remote entry level quantitative researchers, and how can they be overcome?

Remote entry level quantitative researchers often encounter challenges such as limited access to immediate mentorship, difficulties in collaborating on complex data-driven tasks, and the need for effective self-management. To overcome these, it's helpful to proactively schedule regular check-ins with more experienced team members, utilize collaborative tools for data analysis, and maintain clear documentation of your work. Embracing open communication and seeking feedback can also help bridge the gap created by physical distance, ensuring both professional growth and successful project outcomes.

Is 40 too old to become a quant?

Remote entry level quantitative researcher roles typically require strong analytical skills, programming knowledge, and a background in mathematics or finance. Age is generally not a barrier if you have relevant skills, experience, and the ability to learn new tools like Python or R; many professionals successfully transition into quant roles later in their careers.

Can quant researchers work from home?

Remote entry-level quantitative researchers can often work from home, especially if their role involves data analysis, programming, and statistical modeling that can be performed on a computer. Many companies offer flexible or fully remote positions for these roles, provided the candidate has the necessary skills and tools such as programming languages and data analysis software.
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Remote Entry Level Quantitative Researcher jobs near you

Quantitative Researcher

Engineers Gate

Remote

$150K - $200K/yr

Full-time

Posted 10 days ago

Job description

Job Title: Quantitative Researcher
Location: U.S. Remote
*Telecommuting permitted: work may be performed in any location in the U.S.
DUTIES: Driving and leading research initiatives under the guidance of a Portfolio Manager to enhance statistical arbitrage-based quantitative models. Developing advanced statistical and computational methods to work with massive data sets. Collaborating with the Project Manager and other team members to improve the existing research environment. Taking a proactive approach to problem-solving, demonstrating a high level of motivation and initiative in the pursuit of innovative trading strategies. Exploring new methodologies and approaches to stay at the forefront of quantitative finance. Staying informed about market trends, emerging technologies, and advancements in quantitative finance.
SALARY: $150,000 - $200,000/year
WORK SCHEDULE: 9am to 5pm, 40 hours a week.
JOB REQUIREMENTS: Master's degree (US or Foreign Equivalent) in Financial Engineering or a related field and two (2) years of experience in the job offered or in a related financial engineering role. Must have two (2) years of experience with: statistical arbitrage in cash equities; feature engineering techniques applicable to price predictions; quantitative finance concepts, statistics, and financial markets; mid-frequency alpha research; customizing back testing algorithms; and Machine Learning predictive models.

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