Senior Equity Data Analyst, StockStory

Versant
London, GB
On-site

Job Description

Company Description

VERSANT is a leading force in news, sports and entertainment - home to iconic and trusted brands that inspire, inform, and delight audiences. Our unique combination of content, technology and services enriches the cultural fabric, igniting passions, sparking conversations, and connecting people to what they love most.

As an independent, publicly traded company, VERSANT brings together powerhouse cable networks - including USA Network, CNBC, MS NOW (formerly MSNBC), Oxygen, E!, SYFY, and Golf Channel - with dynamic digital and direct-to-consumer brands such as Fandango, Rotten Tomatoes, GolfNow, GolfPass, and SportsEngine. Together, these businesses reflect our commitment to delivering exceptional experiences across every screen and service.

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. At the same time, we have the backing of a large, well-capitalized public company with iconic brands, meaningful free cash flow, and a long-term commitment to investing in data, technology, and our team. That means the upside of a fast-paced builder environment without the fragility and resource constraints of a typical early-stage startup.

VERSANT is an industry-changing media company fueled by innovation and an entrepreneurial spirit. With a strong foundation and a forward-looking vision, VERSANT empowers creativity, embraces change, and drives connection in an ever-evolving world.

Job Description

This role sits within a small and growing, high-caliber team where individuals are expected to operate with 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, 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 backtests/evaluations, and ship analysis features/capabilities

Qualifications

  • What We're Looking For:
  • Minimum of 4 years of buy-side public markets investing experience, at a hedge fund.
  • Experience with a fund that emphasizes long-term investment horizons and independent, 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

Additional Information

As part of our selection process, external candidates may be required to attend an in-person interview with a VERSANT Media employee at one of our locations prior to a hiring decision. 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, yo

Skills & Requirements

Technical Skills

Equity researchLlmStock discoveryResearchSelectionPrompt/context engineeringStructured extractionError analysisFundamental analysisStatistical techniquesQuantitative factor designStock-picking modelsPipelinesApisDagsDatabasesBacktestsEvaluationsAnalysis featuresCapabilitiesLeadershipCommunicationEquity researchLlmStock discoveryResearchSelectionFundamental analysisStatistical techniquesQuantitative factor designStock-picking models

Employment Type

FULL TIME

Level

senior

Posted

4/30/2026

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