Senior Quantitative Analyst

Key Responsibilities

• The successful candidate will
• Partner effectively with investment and technology teams to deliver scalable analytics, reporting solutions, and data-driven insights that support investment decision-making
• Develop and enhance analytical dashboards and reporting capabilities, including data visualization, performance monitoring, benchmark analytics, and investment reporting

Requirements

• Develop investment analytics, portfolio monitoring, performance measurement and risk reporting solutions
• Build and maintain Power BI, Tableau, or Qlik Sense dashboards
• Build and manage scalable data and reporting solutions for multi-asset research team
• Exp erience in handling large multi-asset financial datasets using Py Spark and SQL
• Proficiency with Python libraries such as Pandas, NumPy, Matplotlib, Seaborn, and Plotly
• Automate reporting processes and integrate data from APIs and financial data providers

Required Technical Skills

• Power BI, Tableau or Qlik Sense
• Advanced SQL
• Python and PySpark
• Data Modelling
• API Integration
• Git / Version Control
• Exposure to cloud-based services, AWS (preferred)
• Exposure to AI-powered productivity & development tools such as Microsoft Copilot, and GitHub Copilot preferred

Financial & Domain Knowledge