At a Glance
- Tasks: Lead the data function for an AI-native market intelligence platform, ensuring data accuracy and quality.
- Company: Join a cutting-edge company revolutionising financial market analysis with AI technology.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Dynamic, fast-paced environment with a focus on collaboration and innovation.
- Why this job: Make a significant impact by shaping data strategies that drive innovative financial insights.
- Qualifications: 7+ years in data roles, strong SQL and Python skills, and leadership experience.
The predicted salary is between 80000 - 120000 € per year.
About the company: We are building an AI-native market intelligence and trading analysis platform. Our product helps users understand financial markets through live data, research workflows, portfolio context, macro indicators, news, and social intelligence. The core challenge is not simply collecting more data. It is turning fragmented market information into trusted, timely, explainable decision support.
We are hiring a Head of Data to own the data layer that powers analytics, insights, research workflows, and future institutional-grade products.
Role mission: Build and lead the data function that makes our market intelligence product accurate, defensible, fast, and differentiated. You will own the strategy and execution for sourcing, validating, structuring, monitoring, and productizing financial and alternative market data across multiple domains (market, macro, on-chain equivalents, derivatives, flows, news, and social signals).
The ideal candidate can move between data engineering, analytics, product thinking, and domain understanding. You should be comfortable asking:
- Is this source reliable?
- Is this metric fresh?
- What does this data actually prove?
- What does it fail to prove?
- How should an AI system reason with this data?
- How do we prevent hallucinated or weak conclusions?
Responsibilities:
- Data strategy and architecture
- Market intelligence data coverage
- Data quality and trust
- AI system integration
- Analytics and proprietary signals
- Leadership
Required experience:
- 7+ years in data engineering, analytics engineering, data science, or data platforms
- 2+ years leading data teams or owning a data function
- Strong experience building production data pipelines
- Strong SQL and Python skills
- Experience with modern data stacks (warehouses, lakehouses, orchestration, APIs, observability)
- Ability to design clean schemas and data contracts
- Strong product intuition: understanding how data drives decisions
- Comfortable in ambiguous, fast-paced environments
Strongly preferred:
- Experience with financial or market data
- Experience with alternative or blockchain-style data sources
- Familiarity with derivatives, order books, or volatility data
- Experience with data providers and aggregators in financial markets
- Experience integrating data into AI/LLM or agent systems
- Exposure to macroeconomic datasets
- Experience with data licensing and commercial constraints
- Experience building confidence scoring or data quality systems
Head of Data in Slough employer: TechChain Talent
As a forward-thinking company at the forefront of AI-driven market intelligence, we offer an exceptional work environment that fosters innovation and collaboration. Our culture prioritises employee growth, providing ample opportunities for professional development and leadership within a dynamic team. Located in a vibrant area, we not only focus on building cutting-edge products but also ensure our employees enjoy a supportive atmosphere that values their contributions and encourages meaningful engagement with the financial markets.
StudySmarter Expert Advice🤫
We think this is how you could land Head of Data in Slough
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend events, and connect on LinkedIn. We all know that sometimes it’s not just what you know, but who you know that can land you that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio or a personal project that highlights your data expertise. We love seeing how you tackle real-world problems, so don’t be shy about sharing your work with potential employers.
✨Tip Number 3
Prepare for interviews by practising common questions and scenarios related to data strategy and analytics. We recommend doing mock interviews with friends or using online platforms to get comfortable with the process.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we’re always on the lookout for passionate candidates who are ready to make an impact in the data world.
We think you need these skills to ace Head of Data in Slough
Some tips for your application 🫡
Show Your Passion for Data:When writing your application, let your enthusiasm for data shine through! We want to see how much you love diving into data challenges and turning them into actionable insights. Share specific examples of projects or experiences that highlight your passion.
Tailor Your Application:Make sure to customise your application to fit the Head of Data role. Highlight your experience with data engineering, analytics, and leadership. We’re looking for someone who can connect the dots between data and decision-making, so don’t hold back on showcasing your relevant skills!
Be Clear and Concise:We appreciate clarity in applications. Use straightforward language and avoid jargon where possible. Make it easy for us to understand your experience and how it relates to the role. A well-structured application will definitely catch our eye!
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 role. Plus, it shows you’re serious about joining our team at StudySmarter!
How to prepare for a job interview at TechChain Talent
✨Know Your Data Inside Out
As a Head of Data, you’ll need to demonstrate a deep understanding of data sources and their reliability. Brush up on your knowledge of financial and alternative market data, and be ready to discuss how you would validate and structure this information. Show them you can think critically about data quality and trust.
✨Showcase Your Leadership Skills
You’ll be leading a data function, so it’s crucial to highlight your experience in managing teams. Prepare examples of how you've successfully built and led data teams in the past. Discuss your approach to fostering collaboration and innovation within your team, as well as how you handle challenges in fast-paced environments.
✨Demonstrate Product Thinking
The role requires strong product intuition, so be prepared to discuss how data drives decisions in product development. Think about specific instances where your data insights have influenced product strategy or outcomes. This will show that you understand the bigger picture and can align data initiatives with business goals.
✨Prepare for Technical Questions
Expect to dive into technical discussions around SQL, Python, and modern data stacks. Brush up on your skills and be ready to solve problems on the spot. You might also want to prepare for questions about integrating data into AI systems, so think through how you would approach preventing hallucinated conclusions in AI outputs.
