Quantitative Researcher — Fundamental Equities & Alpha Models

Point Three Group; New York (NY); On-site; USD 150,000 - 300,000; Full time

Job summary

Point Three Group is seeking an experienced Quantitative Researcher to lead a new initiative combining quantitative research with fundamental analysis and forecasting. You will build a systematic process to research, test, and deploy alpha-generating models rooted in company fundamentals and data-driven insights.

You'll work with engineering and data sourcing teams to vet data vendors, ensure data quality, and expand the research agenda.

Qualifications

• Advanced degree in finance-related field (PhD/Masters/Bachelors)
• 3+ years in a quant research role
• Experience with fundamentals forecasting and accounting factor modeling
• Proficiency with major fundamental datasets (S&P Compustat, Worldscope)
• Strong math and statistical modeling background
• Proficiency in Python, C++/C, or Java
• Curiosity for data-driven investment research and automation

Responsibilities

• Use quantitative research techniques to develop alpha models for single-stock equities rooted in fundamental data
• Leverage alternative data to augment fundamentals and expand alpha models
• Create a systematic process to evaluate earnings quality and disclosures influencing events
• Collaborate with engineering and data sourcing teams to vet data vendors and ensure data integrity

Skills

Quantitative research

Fundamental analysis

Statistical modeling

Python

C++/C

Java

Data quality

Team collaboration

Education

Finance/Accounting degree

Tools

S&P Compustat

Refinitiv Worldscope

Job description

Point Three Group is seeking an experienced Quantitative Researcher to lead a new initiative combining quantitative research with fundamental analysis and forecasting. You will build a systematic process to research, test, and deploy alpha-generating models rooted in company fundamentals and data-driven insights.

You'll work with engineering and data sourcing teams to vet data vendors, ensure data quality, and expand the research agenda.