Quantitative Research - Energy - Vice President or Executive Director

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Quantitative Research - Energy - Vice President or Executive Director

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JPMorganChaseQuantitative Research - Energy - Vice President or Executive DirectorJoin to apply for the

Quantitative Research - Energy - Vice President or Executive Director

role at

JPMorganChaseQuantitative Research (QR) is an expert quantitative modelling group in J.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.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.Developing advanced pricing models and risk management strategies for the Energy businessImplementing these models in our quant library and trading/risk platforms, carrying out testing and writing documentationProviding support to internal clients with the existing library of models and structures through troubleshooting and fixing model-related issuesDeveloping and enhancing the risk management platform used by traders to hedge trades and aggregate positionsWorking closely with the trading and sales teams to solve problems and identify opportunitiesYou 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 implementationYou have experience in a front-office trading environmentYou demonstrate strong programming skills (Python, C++) with several years of programming experienceYou demonstrate strong attention to detail and able to take the lead on projectsYou have experience in a front-office trading environment, preferably in commoditiesYou have experience with physical and financial power and gas productsMorgan is a global leader in financial services, providing strategic advice and products to the worlds most prominent corporations, governments, wealthy individuals and institutional investors. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives.We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants and employees religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.The Corporate and Investment Bank is a global leader across investment banking, wholesale payments, markets and securities services. We provide strategic advice, raise capital, manage risk and extend liquidity in markets around the world.

Employment type

Full-time

Job function

Research, Analyst, and Information Technology

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