Sr. Equity Research Analyst, AI Platform

Responsibilities

• Convert equity research insights and conclusions into scalable AI equity research platform features that help individual investors with stock discovery, research, and selection
• Design and evaluate LLM-based workflows to process unstructured data, analyze it and translate it into structured metrics and factors
• Develop and evaluate performance of sector-based factor models using a combination of traditional fundamental research, statistical techniques, and quantitative factor design
• Oversee stock-picking models alignment to surface the best opportunities to a large retail investor audience and produce structured reports supporting them
• Partner with Engineering to implement pipelines (APIs, DAGs, databases), establish reproducible backtests/evaluations, and ship analysis features/capabilities
• Location & Perks:
• At CNBC Headquarters in Englewood Cliffs, NJ, you'll have access to great perks and amenities:
• Sweat it out -- Free onsite fitness center with state-of-the-art equipment, plus daily group classes
• Eat up -- Gourmet cafeteria with daily specials plus soup and salad bars
• Extras -- Dry cleaning, shoe shining and sneak peeks
• Don't have a car? No problem! We offer free shuttle transportation to and from multiple locations in Manhattan, Brooklyn, Hoboken and Jersey City
• Salary Range: $200,000-$235,000, bonus eligible.
• If you are a qualified individual with a disability or a disabled vete

Requirements

• -
• 4+ years of buy-side public markets investing experience (hedge fund, long-only fund, family office, or endowment), with a focus on long-term, fundamental analysis. Must be currently employed at a hedge fund or have done so within the past six months.
• Experience contributing to a rigorous, process-driven strategy at a successful buy-side firm, including involvement in idea generation, research, and portfolio analysis
• Practical LLM workflow experience in equity research workflows (prompt/context engineering; structured extraction; error analysis)
• Experience programming, coding or working with data. You will closely collaborate with the Engineering team to design and build automated equity analysis features blending LLM-based agentic and quantamental approaches, leveraging a modern and evolving technology stack that is being actively expanded
• Systemic, data driven thinker with the ability to translate fundamental research into a repeatable, systematic strategy, with a strong bias toward building scalable solutions rather than one-off outputs
• Multi-sector experience and proven ability to independently perform fundamental research across sectors that has driven long-term investment decisions
• Strong forensic accounting knowledge, experience building three-statements and sector-wide models

Benefits

Additional Information

We're looking for a highly driven and intellectually curious equity analyst to join our team to build a new generation of AI-powered equity research. This role is designed for investors who still want to apply and sharpen their fundamental research judgment, but who are more excited by building scalable systems than by repeating the same research process company by company, quarter after quarter. It is especially well suited to people who want to future-proof their investing career by learning how great equity analysis gets translated into software, models, and AI-enabled products. You will build and operate core components of our AI equity research engine: LLM workflows that convert unstructured information into structured signals, and factor models that turn those signals into consistent, scalable outputs for individual investors. This role sits within a small and growing, high-caliber team where individuals are expected to operate with a high degree of ownership and autonomy, contributing directly to core research, product, and modeling decisions while working closely with engineering and senior leadership in a highly collaborative, low-bureaucracy environment with direct access to decision-makers.

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Company Intel

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