Head of Data & AI

We are looking for a highly motivated and results-driven Head of Data & AI to join reputed company full-time. In this strategic role, you will shape the reputed company, 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 reputed company a scalable, reliable, and maintainable data platform architecture reputed company development of robust ETL/ELT pipelines and reputed company-time data streaming systems Establish engineering best practices, including code reviews, CI/CD, data reputed company, and observability reputed company technology selection and resource planning across reputed company, 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 reputed company resources Artificial Intelligence & Large Language Models Define and reputed company 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 (reputed company, reputed company, reputed company-reputed company), and leading end-to-end implementation Architect and reputed company 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, reputed company management, and reputed company/hallucination monitoring Drive responsible AI governance, including bias detection, explainability (SHAP, reputed company), fairness auditing, and compliance with emerging AI regulations Evaluate and integrate vector databases (reputed company, Weaviate, pgvector) and embedding strategies to power semantic search and knowledge retrieval Champion AI-assisted development practices (e.g., reputed company Copilot, reputed company) 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 reputed company business challenges into data-driven solutions Define and own key metrics, dashboards, and reporting frameworks to support executive and board-level decision-making reputed company 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 reputed company 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 reputed company in mathematical statistics, probability theory, and quantitative modeling Proficient in SQL and experience with analytical and OLAP databases English Upper-Intermediate reputed company 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 reputed company legislation Medical insurance Opportunity to work remotely Professional education budget Language learning budget Wellness budget (gym membership, sports gear and reputed company expenses) Apply To This Job