Quantitative researcher and trader resume keywords

We counted the skills in 159 open quantitative researcher and trader job postings from 18 employers, including IMC, DRW and Jump Trading. The ones employers ask for most are trading (76% of postings), statistics (50%) and Python (48%). 13% of the postings mention AI, though often in the company's description rather than as a skill the job needs.

Top skills and tools in quantitative researcher and trader postings

#KeywordShare of postings
1trading 76%
2statistics 50%
3Python 48%
4machine learning 42%
5C++ 21%
6algorithms 19%
7derivatives 18%
8risk management 18%
9equities 17%
10fixed income 16%
11automation 16%
12data analysis 16%
13forecasting 13%
14venture capital 13%
15deep learning 11%
16time series 10%
17data mining 9%
18MATLAB 8%
19analytics 7%
20quantitative analysis 6%
21prototyping 6%
22SQL 6%
23STEM 6%
24scalability 6%
25valuation 6%
26onboarding 5%
27pandas 5%
28compliance 4%
29partnerships 4%
30NumPy 4%

Share of the 159 postings whose description names the skill (plurals and common spellings, such as “JS” and “JavaScript”, count as one).

Soft skills employers mention

collaboration · 33%analytical skills · 21%creativity · 19%ownership · 13%problem solving · 13%communication · 11%attention to detail · 9%self-starter · 6%decision making · 5%leadership · 4%

Show these through results in your bullets (“led a team of six”) rather than listing them as adjectives.

How to use these keywords on your quantitative researcher and trader resume

  1. Start with the posting, not this list. These are averages across 159 jobs; the one you're applying for has its own priorities. Use this page to spot common gaps, then match the specific posting.
  2. Name skills the way employers do. If you use “trading”, “statistics” and “Python”, write those exact words. Applicant tracking systems and recruiters search for them, and a close synonym can be missed.
  3. Put each skill in a bullet that shows a result. Naming machine learning inside a bullet about what you achieved with it, with a number where you can, is stronger than listing it alone in a skills section.
  4. Add only what's true. If you've worked with “machine learning”, “C++” and “algorithms” but your resume doesn't say so, add it. If you haven't, leave it out: interviews expose padded resumes quickly.

How these numbers are calculated

Every figure comes from open quantitative researcher and trader job postings on MANY Hired, imported from employers' own career pages. For each posting we pick out the skills, tools, certifications and qualifications its description names, then count how many postings ask for each one. A job counts as quantitative researcher and trader by its title. Updated October 28, 2026.