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Part Time Graduate Quantitative Analyst Jobs (NOW HIRING)

Opportunities, including full-time summer internships and part-time work throughout the school year ... Substantial progress toward a degree (graduate level preferred) in a quantitative discipline (e.g ...

Quantitative Analyst, V&S Gas and Power

Spring, TX · On-site

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Build valuation templates and analytics tools capable of modelling storage injection/withdrawal ... part-time work * Comprehensive medical, dental, and vision plans * Culture of Health: Programs and ...

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Part Time Graduate Quantitative Analyst information

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$56.5K

$133.9K

$240K

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

As of Aug 14, 2026, the average yearly pay for part time graduate quantitative 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 Graduate Quantitative Analyst jobs?

The most popular types of Graduate Quantitative Analyst jobs are:

Full-time, Part-time, Internship

Re-posted yesterday


Job description

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.