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Qualitative Quantitative Research Assistant Jobs

Quantitative Research Analyst

New York, NY ยท On-site

$85K - $93K/yr

... quantitative and research skills Undergraduate level degree or equivalent combination of education ... Conduct market research and assist in business development initiatives on an as needed basis ...

$16.25 - $22.25/hr

At Houston Methodist, the Research Assistant I position is responsible for providing technical ... quantitative and qualitative analyses. * Provides updates on assigned experiments and research ...

Conduct Qualitative & Quantitative Research Gather and analyze research using a mix of methods ... Support Strategic Deliverables Assist in building brand positioning documents, messaging frameworks ...

Conduct Qualitative & Quantitative Research - Gather and analyze research using a mix of methods ... Support Strategic Deliverables - Assist in building brand positioning documents, messaging ...

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How much do qualitative quantitative research assistant jobs pay per hour?

As of Sep 15, 2026, the average hourly pay for qualitative quantitative research assistant in the United States is $19.33, according to ZipRecruiter salary data. Most workers in this role earn between $14.90 and $23.08 per hour, depending on experience, location, and employer.

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Infographic showing various Qualitative Quantitative Research Assistant job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 76% Full Time, 21% Part Time, 1% Temporary, and 1% Contract. Highlights an 98% Physical, 1% Hybrid, and 1% Remote job distribution, with an average salary of $40,200 per year, or $19.3 per hour.

Quantitative Research Analyst - Office of Clearance and Settlement

Manhattan, NY โ€ข On-site

Other

Posted 24 days ago


Job description

The Office of Clearance and Settlement (OCS) within Division of Examinations is seeking a Quantitative Research Analyst (Financial Engineer), SK-1501-14 in various locations. The Quantitative Research Analyst will be responsible for analyzing complex and quantitatively driven risk management areas such as margin systems, liquidity, default management, and model risk management.

Duties

In this role as a Quantitative Research Analyst, you will be responsible for:

  • Communicating highly technical concepts and issues, including model parameters, to non-technical audiences in an examination context;
  • Analyzing large volumes of quantitative and qualitative data from different sources for examining the effectiveness of backtesting and stress testing;
  • Serving as a risk management analyst performing a wide range of independent analysis of mathematical and risk systems and processes;
  • Performing examinations to determine compliance to policy and procedure of the designing and building of key quantitative systems, including margin models and clearance and settlement systems;
  • Developing and presenting authoritative analysis and reports resulting from examinations of the quantitative models used in risk management of clearing agencies and other related entities;
  • Identifying deficiencies and areas that need improvement in quantitative models, including the empirical methodology and statistical inference used in these models; and
  • Providing on-going support for the twice-yearly risk assessment of complicated registrants that are significant clearing agencies for both US and international markets.
BASIC REQUIREMENT

Degree: Mathematics, statistics, or actuarial science. The degree must be in a major field of study (at least at the baccalaureate level) that is appropriate for the position.

ORCombination of education and experience: Courses equivalent to a major field of study as shown in paragraph A above, plus additional education or appropriate experience.

MINIMUM QUALIFICATION REQUIREMENT: In addition to meeting the basic requirement, applicants must also meet the minimum qualification requirement

SK-14: Applicant must have at least one year of specialized experience equivalent to the GS/SK-13 level. Specialized experience includes the following:
  • Applying the theories, principles, and processes of quantitative research;
  • Interpreting financial and securities industry data;
  • Developing, maintaining, and/or validating models used for forecasting, valuation, instrument strategy selection, portfolio construction or risk management using modern software languages such as Python, R, C/C++/C#, kdb+/q in UNIX/Shell environments;
  • Manipulating large data sets to develop handsโ€‘on programmatic applications of probability and statistics.
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