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.