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, TensorFlow, 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)