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Equity Research Analyst, AI Platform

Job in Englewood Cliffs, Bergen County, New Jersey, 07632, USA
Listing for: Versant Media, LLC
Full Time position
Listed on 2026-08-22
Job specializations:
  • Finance & Banking
    Capital Markets, Financial Analyst
Salary/Wage Range or Industry Benchmark: 130000 - 170000 USD Yearly USD 130000.00 170000.00 YEAR
Job Description & How to Apply Below
Location: Englewood Cliffs

  • Compensation: USD 130000 - USD 170000 - yearly
Company Description

VERSANT is an independent, publicly traded company that brings together brands including CNBC, MS NOW (formerly MSNBC), USA Network, Oxygen, E!, SYFY, Golf Channel, Fandango, Rotten Tomatoes, Golf Now, Golf Pass, and Sports Engine.

Stock Story, part of CNBC, is building the next generation of AI-powered equity research for individual investors. We operate like a startup—small team, high ownership, fast decisions, and direct access to leadership—with the resources and long‑term backing of a well‑capitalized public company.

Our mission is to help individual investors make better investment decisions by combining institutional‑quality equity research, quantitative methods, proprietary data, and AI.

Job Description

We'relooking for a highly driven and intellectually curious equity analyst to join 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 their fundamental research judgment, but who are more excited by building scalable systems than by repeating the same research process company by company, quarter after quarter. It is especially well suited to people who want to future‑proof their investing career by learning how great equity analysis gets translated into software, models, and AI‑enabled products.

You willbe instrumentaltothe team thatbuildsandoperatescore 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 outputs for individual investors.

You will be working on a small, high-caliber team that brings together top‑tier engineering, product, and buy‑side talent, including senior analysts with prior experience at firms such as Millennium, Point
72, and KKR. Team members are expected tooperatewith 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.

Qualifications

What We're Looking For:
  • Minimum of 2 years of buy‑side public markets investing experience (hedge fund, long‑only fund, family office, or endowment), with a focus on long‑term, fundamental analysis.
  • Experience working with data. You will closely collaborate with the Engineering team to design and build automated equity analysis features blending LLM‑based agentic and quanta mental 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
What You'll Do:
  • 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, analyzeitand 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 tostock‑ picking modelsthatsurface the best opportunities to a large retail investor audience and produce structured reports supporting them
  • Partner with Engineering to implement pipelines (APIs, DAGs, databases),establishreproduciblebacktests/evaluations, and ship analysis features/capabilities
Location & Perks:

At CNBC Headquarters in Englewood Cliffs, NJ,you’llhave access to greatperksand amenities:

  • Sweat it out -- Free onsite fitness center…
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