Senior Quantitative Equity Research Analyst (AI Platform)

Location: Hybrid, 3 days in office at CNBC Headquarters in Englewood Cliffs, New Jersey, United States

Salary: USD 200,000–260,000 yearly

Company

hirify.global is a publicly traded media and technology company whose CNBC division is building AI-powered equity research products for individual investors.

What you will do

• Lead the quantitative research agenda for the High Quality Stocks long-only, factor-based stock-selection strategy.
• Develop and refine quality and valuation frameworks for identifying attractive long-term equity investments.
• Translate fundamental investment concepts into measurable hypotheses, systematic signals, ranking models, and decision rules.
• Design rigorous point-in-time backtests and evaluate factors across sectors, company sizes, market environments, time periods, and portfolio-construction approaches.
• Develop machine-learning models, research prototypes, and statistical methods to improve strategy performance and discover new factors.
• Partner with equity analysts, data analysts, and AI/ML engineers to validate financial data and move successful research into scalable production systems.

Requirements

• At least 5 years of quantitative equity research experience in an institutional investment environment.
• Experience researching long-only or long-biased equity strategies with medium- to long-term investment horizons.
• End-to-end ownership of quantitative research, from hypothesis and data construction through backtesting, implementation, and performance evaluation.
• Strong knowledge of fundamental equity analysis, factor research, statistics, backtesting, portfolio construction, and machine learning.
• Strong Python skills and experience with point-in-time fundamentals, estimates, market data, and other financial datasets.
• Ability to communicate research findings clearly to investors, engineers, and senior leadership.

Nice to have

• Experience researching quality, value, profitability, or other fundamental equity factors.
• Experience building stock-ranking models, screens, or model portfolios.
• Experience applying machine learning to cross-sectional equity research.
• Experience with LLM-powered research, financial-document analysis, or AI-assisted investment workflows.
• Experience building models used by portfolio managers, equity analysts, or individual investors.

Culture & Benefits

• Small, high-ownership team operating with startup-style speed and direct access to leadership.
• Backing and resources of a well-capitalized public company, with continued investment in data, technology, and product development.
• Free onsite fitness center with equipment and daily group classes.
• Gourmet cafeteria, dry cleaning, shoeshine, and other onsite amenities.
• Free shuttle transportation from multiple locations in Manhattan, Brooklyn, Hoboken, and Jersey City.

Hiring process

• External candidates may be required to attend an in-person interview at a hirify.global location before a hiring decision.
• Reasonable accommodation is available throughout the application and recruitment process.