Senior Equity Research Analyst, AI Platform Equity Analysis · New York

VERSANT is an independent, publicly traded company that brings togetherpowerhouse brands such as CNBC, MS NOW (formerly MSNBC), USA Network, Oxygen,E!, SYFY, and Golf Channel along with dynamic digital and direct-to-consumerbrands such as Fandango, Rotten Tomatoes, GolfNow, GolfPass, and SportsEngine.

StockStory, a newly acquired part of CNBC, is building the next generation ofAI-powered equity research for individual investors. We continue operatinglike a startup: small team, high ownership, fast decisions, direct access toleadership, and a culture focused on building rather than managing.

At the same time, we have the backing of a large, well-capitalized publiccompany with iconic brands, meaningful free cash flow, and a long-termcommitment to investing in data, technology, and our team. That means theupside of a fast-paced builder environment without the fragility and resourceconstraints of a typical early-stage startup.

Our mission is to help millions of investors achieve better results in themarkets. This is your chance to work at the intersection of investing, AI, andproduct, alongside other exceptional engineers and investors, and help definewhat modern equity research looks like.

2. Senior Applied AI Equity Research Analyst

We're looking for a highly driven and intellectually curious equity analyst tojoin 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 theirfundamental research judgment, but who are more excited by building scalablesystems than by repeating the same research process company by company,quarter after quarter. It is especially well suited to people who want tofuture-proof their investing career by learning how great equity analysis getstranslated 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 outputsfor individual investors.

This role sits within a small and growing, high-caliber team where individualsare expected to operate with a high degree of ownership and autonomy,contributing directly to core research, product, and modeling decisions whileworking closely with engineering and senior leadership in a highlycollaborative, low-bureaucracy environment with direct access todecision-makers.

3. What We're Looking For:

• 4+ years of buy-side public markets investing experience, at a hedge fund,long-only fund, family office, or endowment fund that emphasizes long-terminvestment horizons and independent, fundamental analysis
• Experience contributing to a rigorous, process-driven strategy at asuccessful 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 closelycollaborate with the Engineering team to design and build automated equityanalysis features blending LLM-based agentic and quantamental approaches,leveraging a modern and evolving technology stack that is being activelyexpanded
• Systemic, data driven thinker with the ability to translate fundamentalresearch into a repeatable, systematic strategy, with a strong bias towardbuilding scalable solutions rather than one-off outputs
• Multi-sector experience and proven ability to independently performfundamental research across sectors that has driven long-term investmentdecisions
• Strong forensic accounting knowledge, experience building three-statementsand sector-wide models

4. What You'll Do:

• Convert equity research insights and conclusions into scalable AI equityresearch platform features that help individual investors with stockdiscovery, 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 acombination of traditional fundamental research, statistical techniques, andquantitative factor design
• Oversee stock-picking models alignment to surface the best opportunities toa large retail investor audience and produce structured reports supportingthem
• Partner with Engineering to implement pipelines (APIs, DAGs, databases),establish reproducible backtests/evaluations, and ship analysisfeatures/capabilities

At CNBC Headquarters in Englewood Cliffs, NJ, you’ll have access to greatperks 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 andfrom multiple locations in Manhattan, Brooklyn, Hoboken and Jersey City

In addition to these benefits, employees in this group will be joining at atime of meaningful and continued investment in data, technology, and productdevelopment, with the opportunity to contribute to a growing team within CNBCthat is expected to scale significantly over time, offering meaningfulexposure to senior leadership and the ability to influence how the platformevolves.

Salary Range: $200,000-$235,000, bonus eligible.