Equity Research Analyst AI Platform

We're looking 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‑prove their investing career by learning how great equity analysis gets translated into software, models, and AI‑enabled products. Qualifications 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, along with some experience programming, coding or working with data. Experience programming, coding or working with data; collaborate closely with Engineering to design and build automated equity analysis features blending LLM‑based agentic and quantamental approaches. 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, and experience building three‑statement 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, 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. Location & Perks At CNBC Headquarters in Englewood Cliffs, NJ, you’ll have access to great perks and amenities. Sweat it out – Free onsite fitness center with state‑of‑the‑art equipment and 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! Free shuttle transportation to and from multiple locations in Manhattan, Brooklyn, Hoboken and Jersey City. Compensation $130,000‑$170,000 per year. Bonus eligible. EEO Statement VERSANT Media’s policy is to provide equal employment opportunities to all applicants and employees without regard to race, color, religion, creed, gender, gender identity or expression, age, national origin or ancestry, citizenship, disability, sexual orientation, marital status, pregnancy, veteran status, membership in the uniformed services, genetic information, or any other basis protected by applicable law. If you are a qualified individual with a disability or a disabled veteran and require support throughout the application and/or recruitment process as a result of your disability, you have the right to request a reasonable accommodation. #J-18808-Ljbffr Versant Media