A leading London-based hedge fund seeks aVP-level Data Analyst/Engineerto design, implement, and optimise data pipelines and analytics solutions. Reporting to the Head of Data Engineering, you will play a critical role in developing scalable data processes and dashboards to drive real-time decision-making.

Key Responsibilities

• ETL Development:Build and optimise robust ETL pipelines for large-scale financial data.
• Dashboards & Reporting:Collaborate with the Head of Risk to create dashboards for portfolio performance and risk metrics.
• Data Analytics:Implement data models, aggregations, and visualisations using Python, Tableau, or similar tools.
• Tech Solutions:Deploy and optimise modern data platforms and engineering tools, ensuring system integrity and performance.

Required Skills

• Programming:Proficiency in Python (Pandas, NumPy, PySpark) and cloud platforms (AWS, Azure, or GCP).
• Data Mastery:Expertise in modelling, warehousing, and BI tools like Tableau or Power BI.
• Financial Data:Familiarity with risk metrics, trading data, and portfolio analytics.
• Problem-Solving:Strong analytical and communication skills for complex data challenges.

Preferred:Financial services experience, knowledge of risk metrics (e.g., VaR), and tools like Kafka or Airflow.

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