Quantitative Researcher

GQR; Summit (NJ); On-site; USD 150,000 - 260,000; Full time

Job summary

GQR is expanding its U.S. equities team and seeks a Senior Quantitative Equity Researcher to develop alpha-generating ideas. You will research inefficiencies across U.S.

equities, develop signals, and test investment ideas while analyzing large data sets. The role requires a PhD in a related quantitative field and 3+ years of empirical equity research experience, with strong Python skills and asset-pricing knowledge.

Qualifications

• PhD in Finance, Economics, Statistics, Econometrics, or related quantitative field.
• 3+ years of empirical equity research experience.
• Strong understanding of asset pricing and equity markets.
• Demonstrated ability to generate original research and investment ideas.

Responsibilities

• Research inefficiencies across U.S. equities.
• Develop and test new alpha signals and investment ideas.
• Analyze fundamental, market, and alternative data.
• Build and enhance quantitative models.
• Translate research into actionable ideas for the trading team.
• Work closely with researchers, traders, and technology.

Skills

Python programming

Statistical analysis

Equity research

Data analysis

Education

PhD in Finance, Economics, Statistics, Econometrics, or related field

Tools

Python

Pandas

NumPy

Job description

A highly research-driven investment firm is expanding its U.S. equities team and looking for a Senior Quantitative Equity Researcher to develop new alpha-generating ideas.

What you’ll do:

• Research inefficiencies across U.S. equities
• Develop and test new alpha signals and investment ideas
• Analyze fundamental, market, and alternative data
• Build and enhance quantitative models
• Translate research into actionable ideas for the trading team
• Work closely with researchers, traders, and technology

What they’re looking for:

• PhD in Finance, Economics, Statistics, Econometrics, or a related quantitative field
• 3+ years of empirical equity research experience
• Strong understanding of asset pricing and equity markets
• Strong Python skills and experience working with large datasets
• Demonstrated ability to generate original research and investment ideas
• Strong statistical and quantitative skills

This is a highly collaborative, alpha-driven environment where research has a direct path from idea generation to implementation and ultimately the trading desk.