At a Glance
- Tasks: Join a dynamic team to build AI-powered equity research and transform financial data.
- Company: VERSANT, a leading media company with iconic brands and a startup-like culture.
- Benefits: Competitive salary, growth opportunities, and a collaborative work environment.
- Other info: Enjoy a fast-paced, low-bureaucracy environment with direct access to leadership.
- Why this job: Make an impact in the stock market while learning cutting-edge technology and AI applications.
- Qualifications: 2+ years in equity analysis, strong financial knowledge, and some coding experience preferred.
The predicted salary is between 50000 - 60000 £ per year.
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.
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.
We're looking for a highly driven and intellectually curious equity and financial data analyst to join our team to build a new generation of AI-powered equity research. This role is designed for those with a passion for the stock market who are more excited by building scalable systems than by repeating the same analytical process company by company, quarter after quarter.
You will oversee the data ingestion and transformation behind 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-caliber team where individuals are expected to operate with a high degree of ownership and autonomy, supporting core research, product, and modeling decisions while working closely with both the equity research and engineering teams in a highly collaborative, low-bureaucracy environment with direct access to decision-makers.
What You'll Do:- Extract, organize and ensure accuracy of financial data, KPIs and qualitative information used in analysis of public equities across various industries. Contribute expertise and feedback for building automated systems for data extraction and validation.
- Troubleshoot and rectify data issues that arise in the internal system including interfacing with Engineering and 3rd party data providers when necessary.
- Oversee publication of StockStory content to ensure accuracy of research and news content produced, to meet the journalistic standards of CNBC, and to contribute to development of a fact-checking AI agent.
- Contribute to earnings season coverage and stock moves coverage, contribute to development of related AI agents.
- Support new feature development and contribute to improving StockStory quantitative factor-based stock picking models.
- 2+ years of experience analyzing equity market filings and financial data to support investment teams or sell side research teams.
- Strong understanding of accounting principles (US GAAP), proficiency in reading financial statements across various sectors, including interpretation of earnings results, financial guidance, and changes in reporting conventions.
- Ability to identify the reason(s) why individual stocks or the market as a whole are moving on a given trading day.
- Some experience using LLMs for equity research or data extraction workflows.
- Basic coding or programming experience is a plus but not required.
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, you have the right to request a reasonable accommodation.
Senior Equity Data Analyst, StockStory in London employer: VERSANT
Contact Detail:
VERSANT Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Equity Data Analyst, StockStory in London
✨Tip Number 1
Network like a pro! Reach out to current employees at StockStory or VERSANT on LinkedIn. A friendly chat can give you insider info and might just get your foot in the door.
✨Tip Number 2
Prepare for the interview by brushing up on your equity analysis skills. Be ready to discuss how you can contribute to building scalable systems and AI-powered research. Show them you're not just about the numbers!
✨Tip Number 3
Don’t underestimate the power of a follow-up! After your interview, drop a quick thank-you note. It shows your enthusiasm and keeps you fresh in their minds.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in being part of the StockStory team.
We think you need these skills to ace Senior Equity Data Analyst, StockStory in London
Some tips for your application 🫡
Show Your Passion for Equity Analysis: When writing your application, let your enthusiasm for the stock market shine through! We want to see how your passion aligns with our mission at StockStory to build innovative AI-powered equity research.
Highlight Relevant Experience: Make sure to detail your experience analysing equity market filings and financial data. We’re looking for candidates who can demonstrate their understanding of accounting principles and how they’ve applied this knowledge in real-world scenarios.
Be Clear and Concise: Keep your application straightforward and to the point. We appreciate clarity, so avoid jargon and focus on what makes you a great fit for the role. Remember, we’re all about building efficient systems!
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the position. We can’t wait to hear from you!
How to prepare for a job interview at VERSANT
✨Know Your Numbers
Brush up on your financial data analysis skills. Be prepared to discuss specific equity market filings and how you've interpreted financial statements in the past. This will show your understanding of accounting principles and your ability to analyse stock movements.
✨Showcase Your Curiosity
Demonstrate your passion for the stock market and AI-powered research. Share examples of how you've engaged with new technologies or methodologies in your previous roles. This will highlight your intellectual curiosity and fit within a fast-paced, innovative environment.
✨Prepare for Technical Questions
Expect questions about LLMs and data extraction workflows. Even if you have basic coding experience, be ready to discuss how you would approach building scalable systems for data ingestion and transformation. This shows you're not just a numbers person but also tech-savvy.
✨Emphasise Collaboration
Since this role involves working closely with both equity research and engineering teams, be ready to talk about your experiences in collaborative environments. Highlight instances where you've contributed to team projects or supported decision-making processes, showcasing your ability to thrive in a low-bureaucracy setting.