At a Glance
- Tasks: Lead AI agents to transform messy financial data into structured datasets for top institutions.
- Company: Dynamic start-up revolutionising data processing with AI technology.
- Benefits: Competitive salary, profit share, equity options, and a senior role in a growing team.
- Other info: Join a small, innovative team with significant growth potential and client visibility.
- Why this job: Make a real impact by owning the data quality that clients trust.
- Qualifications: 2-5 years of data experience, Python and SQL fluency, and a passion for data quality.
The predicted salary is between 90000 - 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 in London employer: Wave Group
Join a dynamic early-stage start-up in Old Street, where your role as an AI Delivery Lead/Data Analyst places you at the forefront of transforming unstructured financial data into reliable datasets for top-tier financial institutions. With a strong focus on employee ownership through profit sharing and equity, you'll thrive in a collaborative environment that values innovation and quality, while enjoying significant growth opportunities as the company scales towards its ambitious revenue goals.
StudySmarter Expert Advice🤫
We think this is how you could land AI Delivery Lead/Data Analyst in London
✨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 lead to insider info and even referrals that could land you an interview.
✨Tip Number 2
Show off your skills! Create a portfolio or a GitHub repository showcasing your data projects. This is your chance to demonstrate your obsession with data quality and your ability to build datasets from scratch.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills. Be ready to discuss your experience with Python, SQL, and AI tools. We want to see how you’ve tackled messy data environments and what solutions you've implemented.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search. Don’t miss out on this opportunity!
We think you need these skills to ace AI Delivery Lead/Data Analyst in London
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 Clear and Concise:Keep your application straightforward and to the point. We appreciate clarity, so avoid jargon unless it’s necessary. Make sure your experience with AI tools and data handling is easy to understand – we want to know what you can bring to the table!
Tailor Your Application:Make sure to customise your application for this role. Highlight your experience with Python, SQL, and any relevant AI tools you've used. Show us how your background aligns with our mission at StudySmarter and why you’re the perfect fit for the AI Delivery Lead position.
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 you don’t miss out on any important updates. 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 those conversations successful.
✨Demonstrate Your Technical Proficiency
Brush up on your Python and SQL skills before the interview. Be ready to discuss how you've built and debugged data pipelines, and if possible, prepare to solve a coding challenge on the spot to showcase your fluency in these languages.
