We are looking for a highly motivated and results-driven Head of Data & AI 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 Engineering
- Design and evolve a scalable, reliable, and maintainable data platform architecture
- Oversee development of robust ETL/ELT pipelines and real-time data streaming systems
- Establish engineering best practices, including code reviews, CI/CD, data contracts, and observability
- Lead technology selection and resource planning across ClickHouse, Spark, and supporting infrastructure
- Ensure data quality through monitoring, alerting, SLA ownership, and remediation processes
- Manage infrastructure costs and drive optimization across storage, compute, and cloud resources
Artificial Intelligence & Large Language Models
- Define and develop the company's overall AI direction and roadmap, aligning initiatives with long-term business strategy
- Ensure operational stability and observability of ML services
- Define and drive LLM strategy, including identifying high-value use cases, evaluating model providers (OpenAI, Anthropic, open-source), and leading end-to-end implementation
- Architect and oversee LLM-powered products, including RAG pipelines, AI agents, and intelligent automation workflows integrated into core business processes
- Establish MLOps/LLMOps best practices, including model versioning, evaluation frameworks, prompt management, and drift/hallucination monitoring
- Drive responsible AI governance, including bias detection, explainability (SHAP, LIME), fairness auditing, and compliance with emerging AI regulations
- Evaluate and integrate vector databases (Pinecone, Weaviate, pgvector) and embedding strategies to power semantic search and knowledge retrieval
- Champion AI-assisted development practices (e.g., GitHub Copilot, Cursor) and foster an AI-augmented engineering culture across data teams
Data Analytics & Quant
- Drive advanced analytics, strategy, and Quant development
- Partner with stakeholders to translate complex business challenges into data-driven solutions
- Define and own key metrics, dashboards, and reporting frameworks to support executive and board-level decision-making
- Lead experimentation practices to validate business impact of models and initiatives
- Mentor teams, setting technical standards and career development paths
Requirements
- 7+ years of hands-on experience across Data Engineering, Data Science, Quant, Data Analytics, delivering end-to-end solutions
- 3+ years of managerial experience, leading data teams
- 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)
- Deep understanding of core ML algorithms: regression, gradient boosting, time series, etc.
- Practical experience with ML libraries and platforms (e.g., scikit-learn, XGBoost, TenserFlow, PyTorch)
- 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
- 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
- Practical experience with integration of LLM with corporate systems for internal users
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)