Equity Research Analyst, AI Platform
About The Position
VERSANT is an independent, publicly traded company that owns powerhouse brands like CNBC, MS NOW, USA Network, Oxygen, E!, SYFY, and Golf Channel, along with digital brands such as Fandango, Rotten Tomatoes, GolfNow, GolfPass, and SportsEngine. StockStory, a newly acquired part of CNBC, is building the next generation of AI-powered equity research for individual investors. It operates like a startup with a small team, high ownership, fast decisions, direct access to leadership, and a culture focused on building. Simultaneously, it benefits from the backing of a large, well-capitalized public company with iconic brands and a long-term commitment to investing in data, technology, and its team. The mission is to help millions of investors achieve better results in the markets. This role offers a chance to work at the intersection of investing, AI, and product alongside exceptional engineers and investors to define modern equity research. The position is for a highly driven and intellectually curious equity analyst to join the team and build new AI-powered equity research. It is designed for investors who want to apply and sharpen their fundamental research judgment but are more excited by building scalable systems than by repeating the same research process. It is especially well suited for individuals looking to future-proof their investing career by learning how equity analysis translates into software, models, and AI-enabled products. The analyst will be instrumental in building and operating core components of the AI equity research engine, including 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 is within a small, growing, high-caliber unit where team leaders have Hedge Fund, Private Equity, and Investment Banking experience. Team members 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.
Requirements
- 2+ 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 and interest in prompt design and context engineering for LLM-based equity research workflows, some experience programming, coding or working with data.
- 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 productize fundamental research into a repeatable, systematic strategy and a desire to “build the machine that does the job”
- Experience contributing to long-term investment theses for a sector or single equity supported by qualitative and quantitative factors
- Ability to read financial statements, solid accounting knowledge, experience building three-statements models
Responsibilities
- Collaborate to 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
- Support the development and evaluation of performance of sector-based factor models using a combination of traditional fundamental research, statistical techniques, and quantitative factor design
- Conduct deep research and initiate coverage on public equities across industries
- Contribute to stock-picking models that 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
- 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
- Bonus eligible
- Health insurance
- Retirement plans
- Paid time off
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
Number of Employees
1-10 employees
