AI-Powered Equity Research Analyst

Versant

New Jersey

On-site

USD 130,000 - 170,000

Full time

14 days+
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Benefits offered by this job

Free onsite fitness center
Gourmet cafeteria
Dry cleaning
Free shuttle to Manhattan, Brooklyn, &

Job summary

VERSANT Media, part of CNBC, is seeking an equity analyst to build a scalable AI-powered equity research platform. You will work with senior analysts, engineers, and product teams to convert fundamental research into automated features and signals.

You will contribute to long-term investment theses, develop factor models, and translate research into structured outputs for individual investors, with a focus on durable, data-driven insights in a fast-paced environment.

Qualifications

  • Minimum of 2 years buy-side public markets investing experience.
  • Experience working with data and collaborating with Engineering to design automated equity analysis features.
  • Ability to read financial statements and build three-statement models.

Responsibilities

  • Collaborate to convert equity research insights into scalable AI equity research platform features.
  • Design and evaluate LLM-based workflows to process unstructured data into structured metrics.
  • Support development and evaluation of sector-based factor models using fundamental research and quantitative techniques.
  • Conduct deep research and initiations across public equities.
  • Contribute to stock-picking models and structured reports for retail investors.
  • Partner with Engineering to implement pipelines and backtests, and ship analysis features.

Skills

Buy-side investing experience
Data-driven mindset
Quantamental methods
Equity research
Collaboration with engineering

Tools

LLM workflows
APIs
Backtesting
Data pipelines

Job description

VERSANT Media, part of CNBC, is seeking an equity analyst to build a scalable AI-powered equity research platform. You will work with senior analysts, engineers, and product teams to convert fundamental research into automated features and signals.

You will contribute to long-term investment theses, develop factor models, and translate research into structured outputs for individual investors, with a focus on durable, data-driven insights in a fast-paced environment.

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