Junior Quant – Equity Derivatives

About the role

The Equity Derivatives Junior Quant will support the design and innovation of our equity derivative library, build resilient risk and pricing infrastructure, and develop advanced tools for volatility fitting and dividend marking. You will work closely with IT, global quantitative teams, and sales desks to deliver robust trading applications.

Key responsibilities

• Support Equity Derivatives D1 business for overseas offices.
• Build market and reference data pipelines, including ETL and storage solutions.
• Develop pricing tools and maintain daily risk and P&L analysis.
• Create trading tools and provide technical support to sales teams abroad.
• Collaborate with global quant teams on library enhancements and cross‑border projects.
• Design and innovate components of the Equity Derivative library.
• Work with IT to ensure a resilient risk and pricing infrastructure.
• Resolve production issues arising from trading, risk, or operations.

Required profile

• Master’s degree or higher in Computer Science, Mathematics, Engineering or a related field.
• Experience handling large datasets, storage systems, ETL pipelines and data‑analysis workflows.
• Strong Python (3.12+) skills with solid object‑oriented programming and design‑pattern knowledge.
• Ability to thrive in a fast‑paced environment and solve trading‑related problems.
• Fluent spoken and written English.

Required skills

• Python (3.12+)
• Python dashboard frameworks (Dash, Plotly, Streamlit, Panel, Bokeh)
• Workflow orchestration tools (Airflow or equivalent)
• ETL pipeline development
• Data analysis and time‑series database handling
• Version control (Git) and testing best practices
• Documentation standards