Senior Quantitative Equity Research Analyst, AI Platform

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

Salary: USD 200,000–260,000 per year

Company

hirify.global is a publicly traded media company whose CNBC business segment is developing 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.
• Improve quality and valuation frameworks for identifying high-quality businesses with attractive long-term return potential.
• Translate fundamental investment hypotheses into systematic signals, ranking models, and decision rules with senior equity analysts.
• Design rigorous point-in-time backtests and control for look-ahead bias, survivorship bias, overfitting, multiple testing, and regime dependence.
• Develop machine-learning models, discover new factors, and evaluate performance across sectors, company sizes, market environments, time periods, and portfolio-construction approaches.
• Partner with data analysts and AI/ML engineers to validate financial data and turn successful research into scalable production systems.

Requirements

• At least 5 years of quantitative equity research experience in an institutional investment environment.
• Direct 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 research, financial statements, profitability, capital allocation, valuation, factor research, statistics, and portfolio construction.
• Strong Python skills and experience with point-in-time fundamentals, estimates, market data, and other financial datasets.
• Ability to independently own research and communicate findings 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 with fast decisions and direct access to leadership.
• Resources and long-term backing from a well-capitalized public company.
• Onsite fitness center with equipment and daily group classes.
• Gourmet cafeteria with daily specials, soup, and salad bars.
• Dry cleaning, shoeshine services, and 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.