Sr. Equity Research Analyst, AI Platform
About The Position
StockStory, a part of CNBC, is developing the next generation of AI-powered equity research for individual investors. This role is for driven and intellectually curious equity analysts who want to build scalable systems and future-proof their investing careers by learning how equity analysis translates into software, models, and AI-enabled products. The analyst will build and operate core components of the AI equity research engine, including LLM workflows for converting unstructured information into structured signals and factor models for consistent, scalable outputs. This position is within a small, high-caliber team that operates with high ownership and autonomy, collaborating closely with engineering and senior leadership in a low-bureaucracy environment with direct access to decision-makers.
Requirements
- 4+ years of buy-side public markets investing experience, at a hedge fund, long-only fund, family office, or endowment fund that emphasizes long-term investment horizons and independent, fundamental analysis.
- 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.
- 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.
Nice To Haves
- 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.
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.
Benefits
- Free onsite fitness center with state-of-the-art equipment, plus daily group classes
- Gourmet cafeteria with daily specials plus soup and salad bars
- Dry cleaning, shoe shining and sneak peeks
- Free shuttle transportation to and from multiple locations in Manhattan, Brooklyn, Hoboken and Jersey City
- Meaningful and continued investment in data, technology, and product development
- Opportunity to contribute to a growing team within CNBC that is expected to scale significantly over time
- Meaningful exposure to senior leadership
- Ability to influence how the platform evolves
- Health insurance
- Retirement plans
- Paid time off
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
Number of Employees
1-10 employees
