Java Lead

Description

CategoryNameRequiredImportanceLevelLast UsedExperience Development Tools TCP/IP Yes 9 Intermediate 56 Within 1 Year 6 + Years Programming Languages C/C++ Yes 9 Expert 910 Within 6 Months 6 + Years Protocols Java Yes 9 Expert 910 Within 6 Months 4 6 Years Specialties OO Analysis Yes 9 Expert 910 Currently Using 6 + Years Specialties OO Design Yes 9 Expert 910 Currently Using 6 + Years Specialties OO Programming Yes 9 Expert 910 Currently Using 6 + Years Mortgage Analytics Group at JPMorgan develops and supports an analytics platform that prices and evaluates risks of structured fixed income securities, including RMBS, CMBS, ABS, CDO and credit derivatives. The system is consumed by trading desks, risk management, other business functions and external clients.We are looking for Midlevel to Seniorlevel Consultants to join the development and strategic improvement of the distributed mortgage analytics platform, with emphasis on performance, reliability and scalability. The candidate is required to have indepth experience with similar systems, and fully understand the challenges that are associated with large scale and realtime analytics infrastructure.Requirements include 5+ years of fixed income industry experience, mortgage analytics experience is a plus Expert level experience with C++ and Object Oriented design. Experience in developing HighPerformance, Business Critical Servers with Multithreading Experience in developing Software Frameworks. Strong knowledge in TCP/IP, message oriented middleware and distributed computing architecture. Experience in Platform Symphony Grid computing middleware is a plus. Strong OO concepts & programming skills Handson experience with Linux environment Comfortable with fast pace high pressure front office environment, self motivated We are looking for Midlevel to Seniorlevel Consultants to join the development and strategic improvement of the distributed mortgage analytics platform, with emphasis on performance, reliability and scalability. The candidate is required to have indepth experience with similar systems, and fully understand the challenges that are associated with large scale and realtime analytics infrastructure.