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Lead Quantitative Modeler in Energy Commodities

1 month ago

London, Greater London, United Kingdom JPMorganChase Full time

At JPMorganChase, our Energy Quantitative Research team is a powerhouse of expert quantitative modelling. As a seasoned professional with advanced knowledge of quantitative methods and programming languages, you will drive the development and implementation of sophisticated mathematical models to value and hedge financial transactions.

Key Responsibilities
  • Design and implement cutting-edge pricing models and risk management strategies for the Energy business
  • Collaborate with cross-functional teams to integrate models into quant library and trading/risk platforms, ensuring seamless testing and documentation
  • Enhance the risk management platform used by traders to hedge trades and aggregate positions, leveraging your expertise in Python and C++

About You

  • Advanced graduate degree (MS or PhD) in a quantitative field (Mathematics, Physics, Statistics, Engineering, Quantitative Finance, Computer Science)
  • Proven experience with advanced math models and efficient implementation
  • Background in a front-office trading environment, preferably in commodities
  • Strong programming skills (Python, C++) with several years of experience
  • Able to lead projects and ensure attention to detail
  • Familiarity with physical and financial power and gas products

We offer an estimated annual salary range of $180,000 - $250,000, commensurate with experience. Join our dynamic team and contribute to the success of our Energy Quantitative Research group.