Equity Research Analyst, AI Platform

Versant • Englewood Cliffs, NJ

1d • Onsite

About The Position

VERSANT, an independent, publicly traded company, encompasses powerhouse brands like CNBC, MS NOW, USA Network, Oxygen, E!, SYFY, and Golf Channel, alongside digital brands such as Fandango, Rotten Tomatoes, GolfNow, GolfPass, and SportsEngine. StockStory, a newly acquired part of CNBC, is dedicated to building the next generation of AI-powered equity research for individual investors. The team operates with a startup mentality: small, high ownership, fast decisions, direct access to leadership, and a culture focused on building. This environment is 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 offers an opportunity to work at the intersection of investing, AI, and product, collaborating with exceptional engineers and investors to define modern equity research. The company is seeking a highly driven and intellectually curious equity analyst to join the team and build new AI-powered equity research. This position is ideal for investors who want to apply and sharpen their fundamental research judgment while building scalable systems, rather than repeating research processes. It's particularly suited 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 Fund, 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, and working closely with engineering and senior leadership in a collaborative, 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, and experience programming, coding or working with data.
• 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

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed
• Number of Employees: 1-10 employees