In this role, the selected candidate will work within and across Agile teams to design, develop, test, implement, and support technical solutions across a full-stack of development tools and technologies.
In this role, the selected candidate will utilize mature (3rd or 4th Generation) programming methodologies and languages and platforms (Java, SQL) and adhere to coding standards, procedures and techniques while contributing to the technical code documentation.
In this role, you will work with other professional, full stack software engineers and contribute to the worlds largest investment management platform. This is an exciting career opportunity with advancement potential for candidates interested in the FinTech industry.
In this role, the selected candidate will be responsible for collaborating with the appropriate individuals (modelers, Subject Matter Experts, Architects, DBAs, etc.) to design and implement the appropriate solution.
In this role, you will be partnering with the Trust and Estates business analysts and existing Application Development teams to understand functional and data requirements for multiple business processes.
In this role, you will participate in the design, development and implementation of complex applications, often using new technologies. May provide technical direction and system architecture for individual initiatives. Serves as a fully seasoned/proficient technical resource.
In this role, you will be responsible for
analyzing, designing, coding, testing and implementing application enhancements, as well as providing general production support, meeting defined scope, target dates and budgets with minimal or no defects.
In this role, you will build cluster computing (Spark) and Java based applications that will work in both regular Linux and big data hadoop environments as part of CIB regulatory data warehouse strategy.
In this role, the selected candidate should have worked on all the phases of Software development life cycle; extensive experience building highly scalable, concurrent, large volume, event-driven systems.