Asset Management- Quantitative Equities Research Analyst - Vice President

Quantitative Equity Researcher - Vice President New York

Job Description

We are a dynamic and innovative Quantitative Equity Research Team seeking a highly motivated Quantitative Equity Researcher to join us in our New York office.

As a key player in the financial industry, we leverage data-driven insights to make informed investment decisions and drive our research strategies.

Job Summary

As a Vice President within the quant research team, you will play a pivotal 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 combines deep expertise in quantitative modeling and portfolio construction with modern AI/ML capabilities - including large language models (LLMs) - to develop scalable research tooling and differentiated systematic insights.

Job Responsibilities:


* Develop novel alpha signals from traditional and alternative datasets and enhance return-forecasting models for equity markets.


* Apply advanced statistical, econometric, and machine learning techniques to large and complex datasets.


* Leverage large language models and generative AI to develop quantitative signals and generate investment insights.


* Design and implement robust research pipelines with proper validation methodology, disciplined feature selection, and rigorous model evaluation.


* Build and maintain research frameworks for factor analysis, signal diagnostics, and regression-based studies.


* Drive research and innovation in portfolio construction and risk management, including optimization.


* Build and evaluate backtesting frameworks and performance attribution to ensure strategies meet investment objectives.


* Collaborate closely with portfolio managers and stakeholders to translate research outcomes into actionable investment decisions, with clear communication of assumptions, limitations, and expected behavior across regimes.


* Oversee the integration of research outputs into production systems in partnership with technology teams, emphasizing reliability, monitoring, and controlled change management.


* Stay abreast of academic and industry developments in quantitative finance, AI/ML, and alternative data, and translate relevant advances into practical research priorities.

Required Qualifications and Capabilities:


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


* Advanced degree (Masters or PhD) in financial engineering, data science, computer science, mathematics, statistics, or related quantitative discipline.


* Proficiency in AI/ML fundamentals for financial applications, with practical experience across classical and modern modeling approaches.


* Strong knowledge of large language model technologies and their practical ...