At a Glance
- Tasks: Lead the data function to enhance our AI-native market intelligence platform.
- Company: Join a cutting-edge company revolutionising financial market analysis with AI.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Dynamic environment with a focus on innovation and collaboration.
- Why this job: Shape the future of market intelligence and make impactful decisions with data.
- Qualifications: 7+ years in data roles, strong SQL and Python skills, leadership experience.
The predicted salary is between 80000 - 100000 € per year.
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 employer: TechChain Talent
As a leading innovator in AI-native market intelligence, we pride ourselves on fostering a dynamic work culture that values collaboration, creativity, and continuous learning. Our employees enjoy competitive benefits, including opportunities for professional development and the chance to work with cutting-edge technology in a fast-paced environment. Located in a vibrant city, we offer a unique blend of challenging projects and a supportive atmosphere that empowers our team to excel and make a meaningful impact in the financial markets.
StudySmarter Expert Advice🤫
We think this is how you could land Head of Data
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect on LinkedIn. We can’t stress enough how personal connections can open doors that applications alone can’t.
✨Tip Number 2
Show off your skills! Create a portfolio or a project that highlights your data expertise. Whether it’s a GitHub repo or a case study, we want to see how you tackle real-world problems.
✨Tip Number 3
Prepare for interviews by diving deep into our company’s mission and products. Understand how your experience aligns with our goals, especially around data strategy and AI integration. We love candidates who are genuinely interested!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows us you’re serious about joining our team and contributing to our market intelligence platform.
We think you need these skills to ace Head of Data
Some tips for your application 🫡
Show Your Data Passion:When you're writing your application, let your enthusiasm for data shine through! We want to see how you connect with the world of data and how it fuels your decision-making. Share specific examples that highlight your experience in data engineering or analytics.
Tailor Your Application:Make sure to customise your application for the Head of Data role. Highlight your relevant experience with financial markets and data strategies. We love seeing candidates who take the time to align their skills with what we’re looking for!
Be Clear and Concise:Keep your application straightforward and to the point. We appreciate clarity, so avoid jargon unless it's necessary. Make it easy for us to see your qualifications and how they fit into our mission at StudySmarter.
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 keen on joining our team!
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 evaluate the trustworthiness of different data streams.
✨Showcase Your Leadership Skills
This role requires strong leadership capabilities. Prepare examples of how you've successfully led data teams in the past. Think about challenges you faced and how you motivated your team to overcome them. Be ready to discuss your vision for building and leading a data function.
✨Demonstrate Product Thinking
You should be able to articulate how data drives decisions within a product context. Prepare to discuss specific instances where your data insights influenced product development or strategy. This will show that you can bridge the gap between data engineering and product thinking.
✨Prepare for Technical Questions
Expect to be quizzed on your technical skills, especially in SQL and Python. Brush up on your coding skills and be ready to solve problems on the spot. Familiarise yourself with modern data stacks and be prepared to discuss how you’ve implemented them in previous roles.
