Head Of Data

10+ years of experience in data engineering, data architecture, or data platform leadership roles. Proven experience in building and managing trading or financial data platforms. Strong understanding of market data feeds, trade lifecycle, and financial data models. Expertise with modern data technologies (ClickHouse, PostgreSQL, Kafka, or equivalents). Experience implementing ML Ops frameworks (e.g. MLflow, Kubeflow, Prefect, or SageMaker). Deep understanding of ETL/ELT pipelines, streaming architectures, and data lifecycle management. Experience working in Kubernetes and cloud-native environments (AWS preferred). Sound knowledge of data governance, security, and compliance best practices. Demonstrated ability to lead cross-functional teams and influence data-driven decision-making. Background in crypto markets, financial trading, quantitative research environments or other data-intensive industries. Exposure to real-time analytics, monitoring, and observability tools (Grafana, Prometheus, DataDog etc.). Understanding of DataOps, FinOps, and cost-optimised data management practices. Familiarity with distributed systems and high-throughput data processing (e.g. Ray, Dask, Spark). Experience with feature engineering, model lifecycle management, and data-driven research environments (e.g. JupyterHub).

Define and execute a data strategy focused on trading and market data. Collaborate with the Architecture Team to build a robust and compliant data architecture. Drive the organization’s data excellence agenda. Prioritise initiatives that enhance trading visibility, risk transparency, and business performance. Identify opportunities where data and ML capabilities can enhance trading performance. Lead the implementation and evolution of cloud-native data platforms. Standardise data ingestion and modelling patterns. Ensure data systems meet performance, cost, and scalability targets. Drive the adoption of data engineering best practices. Enforce and maintain robust data governance. Partner with Security and Compliance teams to ensure adherence to SOC 2, ISO/IEC 27001, DORA. Ensure consistent metadata, documentation, and versioning. Champion a data-driven culture. Build, lead, and mentor a high-performing Central Data Team. Partner with Engineering, Architecture, Quant Research, Risk, and Finance. Foster a culture of data reliability, accountability, and continuous improvement. Define measurable data KPIs. Promote collaboration between data producers and consumers. Champion a data-driven and experimentation-driven culture.