Asset Management- Quantitative Equities Research Analyst - Vice President

Quantitative Equity Researcher - Vice President New York

Job Summary

As a Vice President within the quant research team, you will play a role in shaping and executing the research agenda.

You will independently initiate, scope, and deliver research that enhances the investment process, with a clear focus on empirical rigor and reproducibility.

The ideal candidate brings expertise in quantitative analysis to develop scalable tools and differentiated systematic insights.

Job Responsibilities:


* Develop and test research hypotheses using internal research data and external market datasets, translating investment questions into studies with statistically sound results and decision-ready conclusions.


* Research, prototype, and evaluate equity signals and factors across data sources (fundamental, price/volume, sentiment, and alternative), assessing robustness, persistence, and practical application in portfolio construction.


* Produce regular research performance commentary and market "color", summarizing signal/factor behavior and return drivers, and clearly communicating actionable takeaways, risks, and recommended follow-ups to stakeholders.


* Collaborate with engineering/technology teams to implement validated research, emphasizing reproducible pipelines, version control, documentation and monitoring.


* Stay current on academic and industry advances in quantitative equities (factors, market microstructure, portfolio construction, risk modeling, and data quality) and translate relevant ideas into a prioritized, hypothesis-driven research agenda.

Required Qualifications and Capabilities:


* 5+ years of experience in quantitative equity research or a related field, with demonstrated independent research delivery and project leadership.


* Deep expertise in quantitative modeling, portfolio construction, and equity markets.


* Strong programming skills in Python, including the ability to build robust research infrastructure and reusable analytics; SQL proficiency for data extraction and manipulation is required.


* Excellent verbal and written communication skills, with the ability to convey complex technical ideas to both technical and non-technical audiences, including senior stakeholders.


* Proven ability to manage multiple research workstreams and deliver results in a fast-paced environment, with strong prioritization and disciplined documentation.


* Demonstrated ability to collaborate effectively across investment, research, and technology teams.

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