What are the responsibilities and job description for the Asset Management- Quantitative Equities Research Analyst - Vice President position at JPMorgan Chase?
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 application to research and financial analysis workflows.
- Experience with NLP and working with alternative and unstructured data in a manner suitable for repeatable research and production deployment.
- 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.