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4 дня назад

Head Of Data (Fintech)

Формат работы
remote (Global)
Тип работы
fulltime
Грейд
lead
Английский
b2
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR

Head Of Data (Fintech): Lead the strategic direction and operational excellence of the trading data ecosystem, ensuring data quality, reliability, and scalability for trading, risk management, and decision support. Focus on defining data strategy, building cloud-native data platforms, enforcing governance, and driving data-driven culture across teams.

Location: Remote with hubs in multiple European and global cities including London, Brussels, Paris, and more

Company

hirify.global is a leading digital asset market maker and fintech innovator specializing in trading, DeFi, and digital asset management with a global, diverse team.

What you will do

  • Define and execute data strategy focused on trading and market data accuracy and integrity.
  • Lead cloud-native data platform development and standardize data ingestion and modeling.
  • Ensure data governance, compliance with SOC 2, ISO/IEC 27001, DORA, and data quality.
  • Build and mentor a central data team collaborating with engineering, research, risk, and finance.
  • Drive data KPIs and promote a data-driven and experimentation culture.

Requirements

  • 10+ years experience in data engineering, architecture, or platform leadership.
  • Proven experience with trading or financial data platforms and market data models.
  • Expertise in modern data technologies (ClickHouse, PostgreSQL, Kafka) and ML Ops frameworks.
  • Experience with Kubernetes and cloud-native environments (AWS preferred).
  • Strong knowledge of data governance, security, and compliance best practices.
  • English: B2+ proficiency required.

Nice to have

  • Background in crypto markets, financial trading, or quantitative research.
  • Experience with real-time analytics, monitoring tools, and distributed systems.
  • Familiarity with DataOps, FinOps, and cost-optimized data management.
  • Experience in feature engineering and model lifecycle management.

Culture & Benefits

  • Flexible working hours and remote work opportunities.
  • Leadership role with autonomy in time management.
  • Collaborative engineering culture with strong cross-team partnerships.
  • Competitive compensation and entrepreneurial environment.
  • Commitment to diversity, merit-based hiring, and positive work environment.

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