Senior Equity Research Analyst, AI Platform

Senior Equity Research Analyst, AI Platform

• Full-time
• Business Segment: CNBC
• Compensation: USD 200,000 - USD 235,000 - yearly

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,Golf Now,Golf Pass, andSports

Engine.

Stock Story, a newlyacquiredpart of CNBC, is building the next generation of AI-powered equity research for individual investors. We continueoperatinglike a startup: small team, high ownership, fast decisions, direct access to leadership, and a culture focused on building rather than managing.

Our mission isto helpmillionsof investors achieve better results in themarkets. This isyourchance to work at the intersection of investing, AI, and product,alongsideotherexceptionalengineersand investors,and help define what modern equity research looks like.

Stock Story, a newlyacquiredpart of CNBC, is building the next generation of AI-powered equity research for individual investors. We continueoperatinglike a startup: small team, high ownership, fast decisions, direct access to leadership, and a culture focused on building rather than managing.

Our mission isto helpmillionsof investors achieve better results in themarkets. This isyourchance to work at the intersection of investing, AI, and product,alongsideotherexceptionalengineersand investors,and help define what modern equity research looks like.

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.

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.

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.

This role sits within a small and growing, high-caliberunitwhereteam leaders boast

Hedge Fund, Private Equity, and Investment Banking experience.

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.

What You'll Do:

• 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
• Develop and evaluate performance of sector-based factor models using a combination of traditional fundamental research, statistical techniques, and quantitative factor design
• Oversee stock-pickingmodelsalignment 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

What We're Looking For:

• 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…