This position should have a solid foundation in core CS competencies such as data structures, algorithms and software architectures, love working with Agile and devOps software development methodologies, a proven Java background and want to work in REST API development, we have an exciting career for you.
In this role, the selected candidate will be responsible for understanding of modeling , experience working on scientific data and reporting data, working in Biovia pipeline pilot ( development experience ).
The role is for a skilled Python developer to work on the development of core Risk and PNL application in highly agile test-driven development environment.Following established written procedures, guidelines and techniques, develops, enhances, modifies and/or maintains applications that support business units or support functions in the Global Markets environment
In this role, the selected candidate will assist in analyzing data needs and requirements of end users to design and create web applications using .NET which meet those requirements and support our business segments.
.Net Application developer responsible for the designing, developing, maintaining and supporting both custom and third-party application solutions that support the companys sales, marketing and systems.
The successful candidate will sell products which include GRC and Security Risk Intelligence and emerging solutions which include Audit Management, Vendor and Risk Management and Business Continuity to F-500 accounts.
In this role, the selected candidate will develop, maintain, and report intranet metrics; Interface with different departments within the organization regarding new deployments; Manage, administer, and maintain all internet and intranet sites.
Seeking 10-20+ years sales experience with some of following: investments, hedge funds, fund raising, trust funds, financial software, etc. Should be currently making $200K to $400K and have strong relationships in their states.
In this role, the selected candidate will be responsible for building and maintaining diverse software systems that will host data science models built upon large data sets, distribute the results of these data science models to a range of global business partners, and monitor these Data Warehouse systems to ensure high standards of quality and security.