We are looking for a highly motivated and results-driven Head of Data to join our team full-time. In this strategic role, you will shape the vision, architecture, and delivery frameworks for Data Engineering, Data Science, Quant, and Data Analytics, unifying these teams into a single, high-impact function. This is a key leadership position, guiding both technical and managerial directions for our data organization.
We drive fintech innovation through deep analytical expertise and a data-first, engineering-driven approach.
Key Responsibilities
Data Quant Leadership
- Define and lead the strategy across Data Engineering, Data Science, Quant, and Data Analytics, focusing on high business impact
- Build and manage cross-functional teams, including quants, data scientists, engineers, and analysts
- Drive advanced analytics, ML strategy, feature engineering, and model development with a focus on responsible AI
- Collaborate with stakeholders to turn complex business challenges into data-driven solutions
Data Engineering Leadership
- Design and evolve a scalable, reliable, and maintainable data platform architecture
- Oversee development of robust ETL/ELT pipelines and real-time data streams
- Establish engineering best practices: code reviews, CI/CD, data contracts, observability
- Drive technology selection and resource planning for ClickHouse, Spark, and supporting infrastructure
- Ensure data quality through monitoring, alerting, SLA ownership, and remediation processes
People Cross-Functional Leadership
- Communicate effectively across technical and non-technical teams to influence decisions
- Lead cross-team processes (e.g., grooming, design reviews, retrospectives)
- Mentor team members, create growth plans, and foster a culture of psychological safety, accountability, and innovation
Requirements
- 7+ years of hands-on experience across Data Science, Quant, Data Engineering, delivering end-to-end solutions
- 3+ years of managerial experience, leading data teams including quants and data scientists
- Bachelor’s or Master’s degree in Computer Science, Mathematics, Physics, Engineering, or a related field
- Strong programming skills in Python, with experience writing clean, production-grade code
- Solid understanding of software engineering best practices (CI/CD, testing, code reviews, clean architecture)
- Practical experience with ML libraries and platforms (e.g., scikit-learn, XGBoost, PySpark)
- Deep understanding of core ML algorithms: regression, gradient boosting, time series, etc.
- Strong foundation in mathematical statistics, probability theory, and quantitative modeling
- Proficient in SQL and experience with analytical and OLAP databases
- English Upper-Intermediate
Nice to Have
- Experience with ClickHouse or other OLAP databases
- Background in trading or fintech
- Experience analyzing and modeling time series or high-frequency data
- Familiarity with anti-fraud systems, risk modeling, or portfolio analytics
We offer
- 20 paid vacation days per year
- 10 paid sick leave days per year
- Public holidays according to current legislation
- Medical insurance
- Opportunity to work remotely
- Professional education budget
- Language learning budget
- Wellness budget (gym membership, sports gear and related expenses)
Cyprus
