Quantitative Research

If you are passionate, curious and ready to make an impact, we are looking for you. 

Quantitative Research (QR) is an expert quantitative modelling group in J.P. Morgan, as well as a leader in financial engineering, data analytics, statistical modelling and portfolio management. As a global team, QR partners with traders, marketers and risk managers across all products and regions, contributes to sales and client interaction, product innovation, valuation and risk management, inventory and portfolio optimization, electronic trading and market making, and appropriate financial risk controls. The Energy Quantitative Research team's mission is to develop and maintain sophisticated mathematical models, cutting-edge methodologies and infrastructure to value and hedge financial transactions ranging from vanilla flow products to complex derivative deals, and to provide analytical support to the trading desks and other stakeholders.

Job summary: 

As a Vice President or Executive Director in Quantitative Research, Energy team, you will be providing  modelling solutions to the Commodities business. Yo will get a chance to utilize your  extensive knowledge of quantitative methods, including valuation of derivatives and risk modelling, as well as expertise in a variety of programming languages  (Python, C++) as well as your communication skills.

Job responsibilities:

• Developing advanced pricing models and risk management strategies for the Energy business
• Implementing these models in our quant library and trading/risk platforms, carrying out testing and writing documentation
• Providing support to internal clients with the existing library of models and structures through troubleshooting and fixing model-related issues
• Developing and enhancing the risk management platform used by traders to hedge trades and aggregate positions
• Working closely with the trading and sales teams to solve problems and identify opportunities

Required qualifications, capabilities, and skills:

• You have advanced graduate degree (MS or PhD) or equivalent,  in a quantitative field (Mathematics, Physics, Statistics, Engineering, Quantitative Finance, Computer Science )  
• You demonstrate experience with advanced math models and their efficient implementation
• You have experience in a front-office trading environment
• You have experience in derivatives pricing models and hedging techniques
• You demonstrate strong programming skills (Python, C++) with several years of programming experience
• You are business driven with excellent communication
• You demonstrate strong attention to detail and able to take the lead on projects

Preferred qualifications, capabilities, and skills:

• You have experience in a front-office trading environment, preferably in commodities
• You have experience with physical and financial power and gas products