Equity Research Analyst, AI Platform
About The Position
VERSANT is an independent, publicly traded company that owns brands like CNBC, MS NOW, USA Network, Oxygen, E!, SYFY, Golf Channel, Fandango, Rotten Tomatoes, GolfNow, GolfPass, and SportsEngine. StockStory, a newly acquired part of CNBC, is developing the next generation of AI-powered equity research for individual investors. The team operates like a startup with a small team, high ownership, fast decisions, direct access to leadership, and a culture focused on building. They are backed by a large, well-capitalized public company, offering the benefits of a fast-paced builder environment without the typical constraints of an early-stage startup. The mission is to help millions of investors achieve better market results. This role is at the intersection of investing, AI, and product, working with engineers and investors to define modern equity research. The company is seeking a highly driven and intellectually curious equity analyst to build new AI-powered equity research. This position is for investors who want to apply fundamental research judgment and are excited by building scalable systems rather than repetitive research processes. It is ideal for those 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 for converting unstructured information into structured signals and factor models for scalable outputs. The role is within a small, growing, high-caliber unit with leaders experienced in Hedge Funds, Private Equity, and Investment Banking. Team members are expected to operate with high ownership and autonomy, contributing directly to core research, product, and modeling decisions, collaborating closely with engineering and senior leadership in a low-bureaucracy environment.
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
- 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
