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Factor Analysis Jobs (NOW HIRING)

Channel Partners Solutions, LLC.

Senior Analyst

Tampa, FL · On-site

$83K - $110K/yr

... analysis, conjoint and factor analysis -- and translate findings into clear, executive-ready recommendations. • Serve as a senior analytical voice in client engagements; lead executive ...

Channel Partners

Senior Analyst

Tampa, FL · On-site

$95K - $115K/yr

Deep statistical technique experience: multivariate regression, cluster analysis, factor analysis, conjoint analysis; R, SAS, SPSS, or STATA required. * Experience with campaign analytics, conversion ...

Channel Partners

Senior Analyst

Tampa, FL · On-site

$95K - $115K/yr

Deep statistical technique experience: multivariate regression, cluster analysis, factor analysis, conjoint analysis; R, SAS, SPSS, or STATA required. * Experience with campaign analytics, conversion ...

Channel Partners

Senior Analyst

Tampa, FL · On-site

$115K/yr

Deep statistical technique experience: multivariate regression, cluster analysis, factor analysis, conjoint analysis; R, SAS, SPSS, or STATA required. * Experience with campaign analytics, conversion ...

Channel Partners, LLC

Senior Analyst

Tampa, FL · On-site

$95 - $115/hr

Deep statistical technique experience: multivariate regression, cluster analysis, factor analysis, conjoint analysis; R, SAS, SPSS, or STATA required. * Experience with campaign analytics, conversion ...

STAG

Cyberspace Intelligence Analyst

San Antonio, TX · On-site

Our ideal candidate will leverage their cyberspace intelligence experience to conduct open / all-source research, network vulnerability analysis, and critical factor analysis in support of cyberspace ...

TRISTAR RISK MANAGEMENT

System Support Analyst

$25 - $30/hr

Advanced mathematical and statistical techniques such as calculus, factor analysis, and probability determination. Highly complex mathematical and statistical techniques, such as calculus, factor ...

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Factor Analysis information

What is factor analysis?

Factor analysis is a statistical technique used to identify underlying patterns or factors within a set of observed variables. It helps researchers reduce data complexity by grouping related variables together, making it easier to interpret large datasets. This method is commonly used in psychology, social sciences, and market research to uncover latent constructs or dimensions that explain correlations among observed measures. Factor analysis can guide the creation of questionnaires, scales, or help in data reduction for further analysis.

What are some common challenges faced by professionals conducting factor analysis, and how can they be addressed?

Professionals performing factor analysis often encounter challenges such as determining the appropriate number of factors to retain and ensuring the quality of data (e.g., sample size and variable selection). Another common issue is interpreting complex factor loadings, which can make it difficult to assign meaningful labels to identified factors. These challenges can be addressed by following best practices such as conducting parallel analysis, using scree plots, ensuring adequate sample sizes, and consulting with subject matter experts to interpret results accurately.

What are the key skills and qualifications needed to thrive as a factor analyst, and why are they important?

To thrive as a Factor Analyst, you need a strong background in statistics, mathematics, and data analysis, typically supported by a degree in statistics, psychology, or a related field. Familiarity with statistical software such as SPSS, R, or SAS and an understanding of psychometric or quantitative research methods are essential. Attention to detail, problem-solving abilities, and effective communication are key soft skills for interpreting complex data and presenting findings clearly. These skills ensure accurate analysis, meaningful insights, and effective collaboration with research or business teams.

What is the difference between Factor Analysis vs Data Analyst?

AspectFactor AnalysisData Analyst
Primary RoleStatistical technique to identify underlying variablesInterpreting data to provide insights and support decision-making
Required SkillsStatistics, mathematics, data modelingData manipulation, visualization, statistical analysis
Work EnvironmentResearch, academia, data science projectsBusiness, finance, marketing, healthcare
Common CertificationsStatistics, data science certificationsData analysis, business intelligence certifications

Factor Analysis is a statistical method used to reduce data dimensions and identify latent variables, often used in research. Data Analysts interpret data to generate actionable insights across various industries. While Factor Analysis is a specialized technique within data analysis, Data Analysts perform broader tasks involving data collection, cleaning, and reporting.

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Factor Analysis jobs near you
Infographic showing various Factor Analysis job openings in the United States as of August 2026, with employment types broken down into 85% Full Time, 13% Part Time, and 2% Contract. Highlights an 82% Physical, 4% Hybrid, and 14% Remote job distribution.

Equity Quant Portfolio Researcher

New York, NY • On-site

Verition Group LLC
51 - 200 employees
Learn more about Verition Group LLCexternal

Full-time

Re-posted 20 days ago

Job description

Firm Overview

Verition Fund Management LLC ("Verition") is a multi-strategy, multi-manager hedge fund founded in 2008. Verition focuses on global investment strategies including Credit, Fixed Income & Macro, Convertible & Volatility Arbitrage, Event-Driven, Equity Long/Short & Capital Markets, and Quantitative Strategies.

Role Overview

Our Risk team is expanding and seeking an experienced Equity Quant Portfolio Researcher. This role is pivotal in developing and implementing custom factors, reviewing factor exposures across various levels, and creating tools to aid Portfolio Managers (PMs) in managing factor risk. Additionally, the position may involve providing equity advisory from a risk perspective.

Responsibilities

  • Develop and implement custom factors for equity portfolios.
  • Review and analyze factor exposures at the portfolio manager (PM), strategy, and firm levels.
  • Create and maintain tools to support PMs in managing factor risk.
  • Provide equity advisory services from a risk perspective.
  • Integrate and customize the Barra model to enhance factor analysis and risk management.
  • Collaborate closely with PMs to understand their needs and deliver actionable insights.

Qualifications

  • Minimum of 7 years of relevant experience in quantitative finance or risk management.
  • Bachelors degree in a STEM field
  • Demonstrated experience with the implementation and customization of the Barra model.
  • Strong programming skills, including the ability to integrate and create custom factors and perform in-depth analysis using the Barra model.
  • Proven track record of proactively taking on hands-on roles and responsibilities.
  • Advanced analytical and problem-solving skills.
  • Strong communication skills and ability to work collaboratively with portfolio managers and other stakeholders.
  • Detail-oriented with a focus on accuracy and precision in factor analysis and risk management.
  • Excellent written and verbal communication skills.
  • High level of intellectual curiosity, strong work ethic, and a keen attention to detail.
  • Ability to work effectively in a team-oriented, fast-paced, and dynamic environment.

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