J.P. Morgan is a global leader in asset and wealth management services. The Asset Management line of business serves institutional, ultra-high net worth, high net worth and retail clients through its Global Investment Management and Global Wealth Management businesses. With client assets of $2.4 trillion and AUM of $1.7 trillion, we are one of the largest asset and wealth managers in the world.
J.P. Morgan Asset Management (Investment Management) is a leading investment manager of choice for institutions, financial intermediaries and individual investors, worldwide. With a heritage of more than two centuries, a broad range of core and alternative strategies, and investment professionals operating in every major world market, we offer investment experience and insight that few other firms can match.
JPMorgan Asset Management Technology is seeking a well-rounded hands-on data scientist that is experienced in building systems that support full Investment Management investment cycle with the main focus on Digital Platform. Deliver a next-generation platform for the Insights program, driven by Hibiscus analytics. Scope includes advanced quantitative analytics for Portfolio Insights, including risk factors and fund analysis, as well as launch and evolution of digital version of Portfolio Insights by leveraging Machine Learning/Artificial Intelligence techniques. Will be part of the high-caliber development team that works closely with the Front Office users on end-to-end solutions
Required Experience and Skills:
CFA, FRM, and/or Financial Engineering degree and/or risk management knowledge is a major plus
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