Head of Data & AI (Fintech)

TL;DR

Head of Data & AI (Fintech): Leading the design and evolution of a scalable data platform and the company's AI roadmap with an accent on ETL/ELT pipelines, LLM strategy, and quantitative analytics. Focus on architecting RAG pipelines, implementing MLOps/LLMOps best practices, and driving data-driven executive decision-making.

Location: Must be based in Europe (Remote opportunity available)

Company

hirify.global is a fintech company providing trading and investment services.

What you will do

• Design and evolve scalable data platform architecture, overseeing ETL/ELT pipelines and real-time streaming systems.
• Define the company's AI roadmap and LLM strategy, including RAG pipelines, AI agents, and automation workflows.
• Establish MLOps/LLMOps best practices for model versioning, evaluation, prompt management, and monitoring.
• Drive advanced analytics and Quant development to solve complex business challenges.
• Own key metrics and reporting frameworks to support executive and board-level decision-making.
• Mentor data teams, setting technical standards and career development paths.

Requirements

• 7+ years of hands-on experience across Data Engineering, Data Science, Quant, and Data Analytics.
• 3+ years of managerial experience leading data teams.
• Degree in Computer Science, Mathematics, Physics, Engineering, or a related field.
• Proficiency in Python and SQL, with experience in production-grade code and OLAP databases (e.g., ClickHouse).
• Deep knowledge of ML algorithms (regression, gradient boosting, time series) and libraries (PyTorch, TensorFlow, scikit-learn).
• English: Upper-Intermediate (B2) required.
• Location: Must be based in Europe.

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 integrating LLMs with corporate systems.

Culture & Benefits

• Opportunity to work remotely.
• 20 paid vacation days and 10 paid sick leave days per year.
• Medical insurance.
• Budgets for professional education, language learning, and wellness (gym membership, sports gear).