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Quantitative Researcher

2 months ago

London, Greater London, United Kingdom Millennium Management Full time
Volatility Trader and Quantitative Analyst

Millennium Management, a leading global investment management firm, is seeking a skilled Volatility Trader and Quantitative Analyst to join its Volatility Alpha Development (VAD) team. The VAD team works closely with portfolio managers, traders, and operations to design, build, deploy, and operate the firm's next-generation research and trading capabilities.

Key Responsibilities:

  • Collaborate with team members to develop data generation, alpha research, tools, and analytics focusing on volatility trading.
  • Interact with portfolio managers to gather requirements, discuss modeling approaches, and methodologies for research, valuation, and risk.
  • Design and implement equity derivatives models, volatility surface fitting, and backtesting systems.
  • Develop and maintain Python, q/kdb+, SQL, parallel/cloud computing, Unix, and Airflow skills.
  • Familiarize yourself with equity derivatives markets, including listed options, futures, variance swaps, VIX, and other derivatives.
  • Understand common volatility trading strategies, including dispersion, relative value, VIX complex, and other techniques.
  • Work with large datasets, including options order-book and tick data.
  • Apply strong analytical and mathematical skills, problem-solving capabilities, and communication skills.
  • Work independently in a fast-paced environment, demonstrating thoroughness and strong ownership of work.

Requirements:

  • Substantial experience with equity derivatives modeling, volatility surface fitting, and backtesting systems.
  • Experience with Python, q/kdb+, SQL, parallel/cloud computing, Unix, and Airflow.
  • Solid familiarity with equity derivatives markets, including listed options, futures, variance swaps, VIX, and other derivatives.
  • Some knowledge of common volatility trading strategies, including dispersion, relative value, VIX complex.
  • Some experience working with large datasets, including options order-book and tick data.
  • Strong analytical and mathematical skills, problem-solving capabilities, and communication skills.
  • Able to work independently in a fast-paced environment.
  • Detail-oriented, organized, and demonstrating thoroughness and strong ownership of work.