Senior Equity Research Analyst, AI Platform
About the role
VERSANT (Nasdaq: VSNT) is an industry-changing media and entertainment business and home to trusted brands that shape culture, inform audiences, and build lasting connections. We bring together powerhouse brands such as CNBC, MS NOW (formerly MSNBC), USA Network, Oxygen, E!, SYFY, and Golf Channel along with dynamic digital and direct-to-consumer brands such as Fandango, Rotten Tomatoes, GolfNow, GolfPass, and SportsEngine. StockStory, a newly acquired part of CNBC, is building the next generation of AI-powered equity research for individual investors. We continue operating like a startup: small team, high ownership, fast decisions, direct access to leadership, and a culture focused on building rather than managing. Our mission is to help millions of investors achieve better results in the markets. This is your chance to work at the intersection of investing, AI, and product, alongside other exceptional engineers and investors, and help define what modern equity research looks like.
Responsibilities
- 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
- Develop and evaluate performance of sector-based factor models using a combination of traditional fundamental research, statistical techniques, and quantitative factor design
- Oversee stock-picking models alignment to 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 back tests/evaluations, and ship analysis features/capabilities
Requirements
- Minimum of 4 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 contributing to a rigorous, process-driven strategy at a successful 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 closely collaborate with the Engineering team to design and build automated equity analysis features blending LLM-based agentic and quantamental approaches, leveraging a modern and evolving technology stack that is being actively expanded
- Systemic, data driven thinker with the ability to translate fundamental research into a repeatable, systematic strategy, with a strong bias toward building scalable solutions rather than one-off outputs
- Multi-sector experience and proven ability to independently perform fundamental research across sectors that has driven long-term investment decisions
- Strong forensic accounting knowledge, experience building three-statements and sector-wide models
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
- Extras: dry cleaning, shoe shining and 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, offering meaningful exposure to senior leadership and the ability to influence how the platform evolves
Pay
Salary Range: $200,000-$235,000, bonus eligible, plus RSU’s
Schedule
Hybrid 3 days in office