The U.S. Disciplined Core Equity group within JPMorgan Asset Management is seeking an accomplished and innovative Quantitative Equity Researcher to join our New York office at the Executive Director level. Our group manages approximately $100 billion in U.S. equity markets, leveraging advanced quantitative models and fundamental research.
Job Summary
As the Vice President within the quant research team, you will play a pivotal role in shaping and executing the research agenda of the U.S. Disciplined Core Equity group. You will be responsible for independently initiating and managing innovative research projects that drive our investment process. The ideal candidate will possess deep expertise in quantitative modeling and portfolio management and will play a key role in developing and enhancing the group’s systematic investment strategies.
Job Responsibilities:
- Developing novel alpha signals from traditional and alternative data sets and enhancing the return forecasting models for equity market.
- Applying advanced statistical, econometric, and machine learning techniques to large and complex datasets.
- Driving research and innovation in portfolio construction and risk management.
- Collaborating closely with portfolio managers and other stakeholders to translate research insights into actionable investment strategies.
- Overseeing the integration of research models into production systems in partnership with technology teams.
- Staying abreast of academic and industry developments in quantitative finance, machine learning, and alternative data.
Required, qualifications and capabilities:
- 5+ years of experience in quantitative equity research or a related field, with a demonstrated track record of independent research and project leadership.
- Advanced degree (Master’s or PhD) in financial engineering, data science, computer science, mathematics, statistics, or other quantitative/technical disciplines.
- Deep expertise in quantitative modeling, portfolio construction, and equity markets.
- Strong programming skills in Python.
- Proficiency in Machine Learning, Natural Language Processing (NLP), and analyzing alternative/unstructured data.
- Excellent communication skills, both verbal and written, with the ability to present complex ideas to both technical and non-technical audiences.
- Proven ability to manage multiple projects and deliver results in a fast-paced environment.
- Demonstrated ability to collaborate effectively across teams and with senior stakeholders.