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CLSA

Junior Quant, Equity Derivatives

Posted 4 Days Ago
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In-Office
London, Greater London, England, GBR
Junior
In-Office
London, Greater London, England, GBR
Junior
The Junior Quant supports the design of the Equity Derivative library, develops trading tools, and collaborates on risk/pricing infrastructure.
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Position Description

The Equity Derivatives Junior Quant plays a key role in supporting the designing and innovating our Equity Derivative library, building resilient risk/pricing infrastructure in collaboration with IT and developing advanced tools for volatility fitting and dividend marking. The position supports daily trading applications, develops trading tools and collaborates with global teams.

Key Areas of 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.
  • Build trading tools and provide technical support to Equity Derivative sales teams overseas.
  • Collaborate with global quantitative teams on the quant library and crossborder quant projects.
  • Design and innovate the Equity Derivative library and related components.
  • Work with IT to build a resilient risk and pricing infrastructure.
  • Support daily trading applications and resolve production issues arising from trading, risk, or operations.

Requirements

  • Master’s degree or above in Computer Science, Mathematics, Engineering, or a related discipline.
  • Proven experience with large datasets, storage systems, ETL pipelines, and data analysis workflows.
  • Strong Python (3.12+) skills with solid grounding in objectoriented programming, design patterns, and modern Python tooling.
  • Experience building Pythonbased dashboards (for example Dash, Plotly, Streamlit, Panel, Bokeh).
  • Handson experience with Airflow or equivalent workflow orchestration tools.
  • Strong understanding of software engineering fundamentals, including testing, version control, and documentation best practices.
  • Familiarity with quantitative finance, trading systems, or research workflows.
  • Experience with time series databases or working with financial data vendors.
  • Ability to work in a fastpaced environment and solve problems arising from trading, risk, and operations.
  • Selfmotivated, detail oriented, and proactive.
  • Fluent in spoken and written English.

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CLSA London, England Office

12/F Moor House, 120 London Wall, , London, United Kingdom, EC2Y 5ET

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