At a Glance
- Tasks: Lead AI agents to transform messy data into trusted datasets for top financial institutions.
- Company: Exciting pre-seed start-up revolutionising financial data processing with AI.
- Benefits: Competitive salary, profit share, equity options, and a dynamic work environment.
- Other info: Join a small, innovative team with significant growth potential and career advancement.
- Why this job: Own your work, make a real impact, and be recognised for your contributions.
- Qualifications: 2-5 years of data experience, Python and SQL skills, and a passion for data quality.
The predicted salary is between 85000 - 100000 € per year.
Salary: up to ~£100k + profit share
Equity: 0.75 - 1%
Location: Old Street (4-5 office days/week)
Company: Data processing AI Agents
Team: ~5
Funding: Pre-seed
About the company:
This early stage start-up is processing hundreds of thousands of unstructured financial documents into clean, structured datasets for some of the world's largest financial institutions - producing the output of 50, with a team of 5. Forecasting £1.5m revenue within their first 12 months, they have immense potential - not based on hype or inflated valuations, but rather achieving mega productivity through intelligent application of AI agents. Their mid-term goal is ~£50m revenue with a sub-30 person team.
What's in it for you?
Profit share. Cash in your account on a regular basis - not a promise of a huge payout IF the company succeeds and sells.
About the role:
At most data companies, a dataset is the output of a large analyst team. Here, it's the output of a fleet of AI agents - directed by one person who stakes their reputation on it being right. You're not downstream. You're not cleaning data someone else built. You start from the source - raw documents, filings, internet data - and you build the dataset. You're the reason institutional clients - banks, hedge funds, investment firms - trust the data. AI agents do the extraction. You direct them, interrogate the output, catch what they miss and encode your judgement into validation systems that make the whole pipeline better over time. You'll also work directly with clients, explaining methodology to sophisticated buyers who need to understand what they're relying on. This isn't QA. It's the highest-ownership, most client-visible position in the company. Your name will be on the data. And for that, you'll have a very senior seat at the table.
Must have requirements:
- Roughly 2-5 years working directly with data at a company where data is the core product - not as an analyst consuming clean datasets, but building them from messy, unstructured sources
- Demonstrable obsession with data quality - you know what great data looks like because you've spent time making it from scratch
- You go to the row level. A missing data point or unexplained anomaly bothers you until it's resolved - not flagged and forgotten
- Genuinely AI-native: you've been using agentic tooling long enough to have opinions on it - Claude Code, Cursor, OpenAI Agents SDK or equivalent, used on a daily basis
- Python and SQL fluent - you've built and debugged pipelines, not just queried tables
- Comfortable in the terminal, in codebases and in real-world messy data environments
Bonus points for:
- Experience at a financial data provider (Bloomberg, Refinitiv, Preqin, FactSet etc.) or in quant/ESG research
- You've built agents yourself - not just used them
- Experience with LLMs in production / agentic workflow design
- Web scraping and document parsing at scale
- Experience in a small team (2-30 people) where you owned the whole function
VISA sponsorship is available if needed (but you need to be already living in the UK).
AI Delivery Lead/Data Analyst employer: Wave Group
As an early-stage start-up located in the vibrant Old Street area, we offer a unique opportunity for the AI Delivery Lead/Data Analyst to take ownership of data quality and directly influence our innovative AI-driven processes. With a profit-sharing model and a focus on employee growth, you will be part of a small, dynamic team where your contributions are highly visible and valued, ensuring a rewarding and meaningful work experience.
StudySmarter Expert Advice🤫
We think this is how you could land AI Delivery Lead/Data Analyst
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those who work at companies you're interested in. A friendly chat can open doors and give you insights that a job description just can't.
✨Tip Number 2
Show off your skills! If you've got a portfolio or examples of your work, make sure to share them during interviews. It’s a great way to demonstrate your expertise in building datasets from scratch.
✨Tip Number 3
Prepare for the unexpected! Be ready to discuss how you handle messy data and what steps you take to ensure quality. This role is all about ownership, so showcasing your problem-solving skills is key.
✨Tip Number 4
Apply through our website! We love seeing candidates who are genuinely interested in joining us. Plus, it gives you a better chance to stand out in the application process.
We think you need these skills to ace AI Delivery Lead/Data Analyst
Some tips for your application 🫡
Show Your Data Passion:When you're writing your application, let your love for data shine through! Share specific examples of how you've transformed messy datasets into clean, structured ones. We want to see that you’re not just about numbers but about the story they tell.
Be AI-Savvy:Make sure to highlight your experience with AI tools and technologies. Mention any specific projects where you've used agentic tooling like OpenAI or similar. We’re looking for someone who’s genuinely AI-native and can bring fresh insights to our team.
Tailor Your Application:Don’t just send a generic CV and cover letter. Tailor your application to reflect the role of AI Delivery Lead/Data Analyst. Use the job description as a guide to showcase how your skills and experiences align with what we’re looking for.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures it gets into the right hands. Plus, it shows you’re keen on joining our team!
How to prepare for a job interview at Wave Group
✨Know Your Data Inside Out
Make sure you can talk confidently about your experience with data. Be ready to discuss specific projects where you've built datasets from unstructured sources. Highlight your obsession with data quality and how you've tackled anomalies in the past.
✨Show Off Your AI Tooling Skills
Since this role is all about directing AI agents, be prepared to share your hands-on experience with tools like Claude Code or OpenAI Agents SDK. Discuss how you've used these tools to improve data extraction processes and what insights you've gained from them.
✨Prepare for Client Interactions
This position involves working directly with clients, so practice explaining complex methodologies in simple terms. Think of examples where you've had to communicate technical details to non-technical stakeholders and how you made it relatable.
✨Demonstrate Your Problem-Solving Mindset
Be ready to showcase your critical thinking skills. Prepare to discuss scenarios where you've encountered messy data and how you approached cleaning and validating it. This will show that you're not just a data user but a proactive problem solver.
