VP Quantitative Equity Research — AI-Driven Alpha Signals

J.P. Morgan; New York (NY); On-site; USD 210,000 - 320,000; Full time

Benefits offered by this job

Comprehensive health coverage

On-site health centers

Retirement savings plan

Tuition reimbursement

Mental health support

Financial coaching

Job summary

JPMorgan Chase & Co. in New York invites a Vice President Quantitative Equity Researcher to lead empirical research, design scalable models, and build robust research tooling. You will advance alpha signals and portfolio construction, collaborating with portfolio managers and technology teams.

The role emphasizes reproducibility, state-of-the-art AI/ML methods, large language models, and production-ready pipelines, with strong communication of assumptions and performance across market regimes.

Qualifications

• 5+ years of experience in quantitative equity research or related field.
• Advanced degree (Masters or PhD) in financial engineering, data science, CS, math, stats, or related quantitative discipline.
• Proficiency in AI/ML fundamentals for financial applications.
• Strong knowledge of large language model technologies and their applications to research workflows.
• Experience with NLP and alternative/unstructured data for repeatable research.

Responsibilities

• Develop novel alpha signals from traditional and alternative data sources; enhance return-forecasting models.
• Apply advanced statistical, econometric, and machine learning techniques to large datasets.
• Leverage LLMs and generative AI to develop quantitative signals and insights.
• Design robust research pipelines with validation, feature selection, and model evaluation.
• Build research frameworks for factor analysis, signal diagnostics, and regression studies.
• Drive portfolio construction and risk management research, including optimization.
• Build and evaluate backtesting frameworks and performance attribution.
• Collaborate with PMs and stakeholders to translate research into actionable decisions.
• Oversee integration of research outputs into production systems with reliable change management.
• Keep up with advances in quantitative finance, AI/ML, and alternative data.

Skills

Quant research

AI/ML basics

Python

Communication

Team leadership

Education

Masters or PhD in quantitative field

Tools

Python

SQL

Job description

JPMorgan Chase & Co. in New York invites a Vice President Quantitative Equity Researcher to lead empirical research, design scalable models, and build robust research tooling. You will advance alpha signals and portfolio construction, collaborating with portfolio managers and technology teams.

The role emphasizes reproducibility, state-of-the-art AI/ML methods, large language models, and production-ready pipelines, with strong communication of assumptions and performance across market regimes.