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 ResponsibilitiesData EngineeringDesign and evolve a scalable, reliable, and maintainable data platform architectureOversee development of robust ETL/ELT pipelines and real-time data streaming systemsEstablish engineering best practices, including code reviews, CI/CD, data contracts, and observabilityLead technology selection and resource planning across ClickHouse, Spark, and supporting infrastructureEnsure data quality through monitoring, alerting, SLA ownership, and remediation processesManage infrastructure costs and drive optimization across storage, compute, and cloud resourcesArtificial Intelligence & Large Language ModelsDefine and develop the company's overall AI direction and roadmap, aligning initiatives with long-term business strategyEnsure operational stability and observability of ML servicesDefine and drive LLM strategy, including identifying high-value use cases, evaluating model providers (OpenAI, Anthropic, open-source), and leading end-to-end implementationArchitect and oversee LLM-powered products, including RAG pipelines, AI agents, and intelligent automation workflows integrated into core business processesEstablish MLOps/LLMOps best practices, including model versioning, evaluation frameworks, prompt management, and drift/hallucination monitoringDrive responsible AI governance, including bias detection, explainability (SHAP, LIME), fairness auditing, and compliance with emerging AI regulationsEvaluate and integrate vector databases (Pinecone, Weaviate, pgvector) and embedding strategies to power semantic search and knowledge retrievalChampion AI-assisted development practices (e.g., GitHub Copilot, Cursor) and foster an AI-augmented engineering culture across data teamsData Analytics & QuantDrive advanced analytics, strategy, and Quant developmentPartner with stakeholders to translate complex business challenges into data-driven solutionsDefine and own key metrics, dashboards, and reporting frameworks to support executive and board-level decision-makingLead experimentation practices to validate business impact of models and initiativesMentor teams, setting technical standards and career development pathsRequirements7+ years of hands-on experience across Data Engineering, Data Science, Quant, Data Analytics, delivering end-to-end solutions3+ years of managerial experience, leading data teamsBachelor’s or Master’s degree in Computer Science, Mathematics, Physics, Engineering, or a related fieldStrong programming skills in Python, with experience writing clean, production-grade codeSolid 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 modelingProficient in SQL and experience with analytical and OLAP databasesEnglish Upper-IntermediateNice to HaveBackground in trading or fintechExperience analyzing and modeling time series or high-frequency dataFamiliarity with anti-fraud systems, risk modeling, or portfolio analyticsPractical experience with integration of LLM with corporate systems for internal usersWe offer20 paid vacation days per year10 paid sick leave days per yearPublic holidays according to current legislationMedical insuranceOpportunity to work remotelyProfessional education budgetLanguage learning budgetWellness budget (gym membership, sports gear and related expenses)
8 days ago