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        "event_title":"Student Nurse Virtual Information Sessions-Day 3",
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        "event_title":"USA - Campus - EY Careers in Financial Services: Service Delivery Center (SDC)",
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        "description":"The opportunity - Your next adventure awaits. As an associate analyst, you\u2019ll be based in one of our Service Delivery Center locations. The centralized workforce is made up of high- performing US-based employees who work closely with client-serving professionals to deliver project-based support work to our clients. Our Service Delivery Centers provide abroad range of integrated services to three main industries: commercial,financial institutions and government clients.",
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        "event_title":"A Generalized Kyle-Back Insider Trading Model with Dynamic Information",
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        "combined_title":"A Generalized Kyle-Back Insider Trading Model with Dynamic Information: Ying Tan, USC",
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        "description":"In this project, we consider a class of generalized Kyle-Back strategic insider trading models in which the insider is able to use the dynamic information obtained by observing the instantaneous movement of an underlying asset that is allowed to be influenced by its market price. Since such a model will be largely outside the Gaussian paradigm, we shall try to Markovize it by introducing an auxiliary (factor) diffusion process, in the spirit of the weighted total order process, as a part of the \"pricing rule\". As the main technical tool in solving the Kyle-Back equilibrium in such a setting, we study a class of Stochastic Two-Point Boundary Value Problem (STPBVP), which resembles the dynamic Markov bridge in the literature, but without insisting on its local martingale requirement. In the case when the solution of the STPBVP has an affine structure, we show that the pricing rule functions, whence the Kyle-Back equilibrium, can be determined by the decoupling field of a forward-backward SDE obtained via a non-linear filtering approach, along with a set of compatibility conditions. This is a joint work with Jin Ma.",
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