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Part Time Quantitative Data Analyst Jobs (NOW HIRING)

Established in 1983, Remex, Inc. is a dynamic accounts receivable management company seeking a part-time Data Analyst to manage the transfer of client data files into our enterprise application ...

Data Analyst

Bridgeton, NJ · On-site

$150K/yr

Data Analyst (Grant-Funded Position) Our Mission: "To improve lives by providing comprehensive ... EEO CompleteCare offers full-time and part-time employees a variety of generous benefits, including ...

Data Analyst

Bridgeton, NJ · On-site

$50K - $70K/yr

Data Analyst (Grant-Funded Position) Our Mission: "To improve lives by providing comprehensive ... EEO CompleteCare offers full-time and part-time employees a variety of generous benefits, including ...

Research Assistant Location: 1 Washington Square North, NY, NY 10003 Part-Time: 10 hours/week ... Demonstrated experience with quantitative data analysis, including multilevel modeling. * Proven ...

Data Analyst

San Diego, CA · On-site

$61K - $141K/yr

As data analyst, you love diving into data and turning it into meaningful insights. With the ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Data Analyst

Golden, CO · Hybrid

$30 - $33/hr

This is a part-time, hourly, hybrid position with a minimum of one day onsite per week at our ... Bachelor's degree in data analytics, statistics, business, computer science, or related field. OR

Everforth ECS is seeking a Senior Data Analyst (Part-Time) to work in our Arlington, VA office. Please Note: This position is contingent upon additional funding. Responsibilities include: * Work as ...

Data Analyst IV

Atlanta, GA · On-site

$50 - $60/hr

NACI Data Engineer & Analyst, Part-time with Full Time Potential AMDEX.ai The Art of Data Science We are a seasoned full-spectrum data solutions firm. We deliver insights, strategies, data analytics ...

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Part Time Quantitative Data Analyst information

See salary details

$56.5K

$133.9K

$240K

How much do part time quantitative data analyst jobs pay per year?

As of Jul 5, 2026, the average yearly pay for part time quantitative data analyst in the United States is $133,877.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,500.00 and $145,500.00 per year, depending on experience, location, and employer.
What are the most commonly searched types of Quantitative Data Analyst jobs? The most popular types of Quantitative Data Analyst jobs are:
Quantitative Research Analyst Internship

Quantitative Research Analyst Internship

Stevens Capital Management LP

Radnor, PA • On-site

Full-time, Part-time, Internship

Posted 28 days ago


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 exceptionally motivated students with a strong interest in the financial markets to contribute to our empirical research process. The range of research ideas to investigate is open-ended and will depend on a candidate's background and strengths.
Opportunities, including full-time summer internships and part-time work throughout the school year, are available for qualified students at each of the undergraduate, masters and PhD levels.
Primary Responsibilities:
  • Read and analyze academic research or other source material pertaining to anomalies in the global financial markets.
  • Build data sets and conduct statistical analysis on the data.

Requirements:
  • Substantial progress toward a degree (graduate level preferred) in a quantitative discipline (e.g. statistics, econometrics, mathematics, engineering, physics or computer science) or finance (with extensive coursework in quantitative disciplines).
  • Programming experience, ideally including R, C++ and/or Python.
  • Experience with regression analysis.
  • Strong interest in learning how to build, organize and analyze large data sets.
  • Strong organizational and communication skills.