Senior Quantitative Equity Researcher: Alpha Signals & Data

GQR; Summit (NJ); On-site; USD 190,000 - 270,000; Full time

Job summary

GQR is expanding its U.S. equities team by hiring a Senior Quantitative Equity Researcher to develop alpha-generating ideas. The role focuses on researching inefficiencies in U.S.

equities, building quantitative models, and translating research into executable signals for the trading desk. The ideal candidate holds a PhD in a quantitative field and has 3+ years of empirical equity research experience, with strong Python skills and proven ability to work with large datasets.

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.
• Strong Python skills and experience working with large datasets.
• Demonstrated ability to generate original research and investment ideas.
• Strong statistical and quantitative skills.

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

Quantitative analysis

Empirical equity research

Original research generation

Communication with traders

Education

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

Tools

Python

Pandas/NumPy

Job description

GQR is expanding its U.S. equities team by hiring a Senior Quantitative Equity Researcher to develop alpha-generating ideas. The role focuses on researching inefficiencies in U.S.

equities, building quantitative models, and translating research into executable signals for the trading desk. The ideal candidate holds a PhD in a quantitative field and has 3+ years of empirical equity research experience, with strong Python skills and proven ability to work with large datasets.