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A leading financial institution in London seeks a Quantitative Researcher to develop and maintain advanced analytics software for pricing and risk management in financial transactions. The role requires a quantitative degree and strong problem-solving skills. Candidates should have experience with Python and a solid understanding of financial processes. The position offers an effective platform for innovative contributions within the quantitative research team.
Quantitative Researchers (QR) are key part of JP Morgan’s markets business, developing and maintaining sophisticated mathematical models, cutting-edge methodologies and infrastructure to value and risk manage financial transactions. We develop these inAthena, which is a next generation risk, pricing, and trade management platform built in-house at JP Morgan.
Job summary:
As an Associate or Vice Presidentwithin Quantitative Research Athena and Analytics team, you will be focusing on cross asset topics ranging from pricing library and market model design, risk frameworks, UI design to high performance computing.
Athena is designed to enable rapid innovation on the desk by offering Quantitative Analysts, Risk Managers and Technologists a consistent, cross-asset portfolio of models, frameworks and tools to use in building financial applications. The power of the Athena platform derives from several key technical innovations: a powerful Dependency Graph implementation, a ubiquitous data store called Hydra, a Real-Time Risk Reporting framework, a robust Deal Model, and a forward propagating, event-driven graph called Reactive.