We have opening for Lead Financial Software Developer/C++

 

Location – Washington, DC

 

Job Information

  • Develop, modify, or update applications used by business units or infrastructure units.
  • Lead, or play lead technical role in development teams’ efforts to determine unit needs and business processes that are automated by the application.
  • Participate in or review all of the steps in the software development life cycle to create and modify the software.

 

KEY JOB FUNCTIONS

  • Participate with team of technical staff and business managers or practitioners in the business unit to determine systems requirements and functionalities needed in large/complex development project.
  • Assess and develop high level design requirements for project and communicate in writing or in meetings with development team.
  • Assess detailed specifications against design requirements.
  • Review coding done to advance application upgrade, extension, or other development.
  • Analyze application for data integrity issues.
  • Develop test protocols or plan for testing revised application and review test results.
  • Serve as project lead or lead technical staff in course of application development project.
  • May mentor less experienced technical staff; may use high end development tools to assist or facilitate development process.

 

Required Skills

  • At least 5 years’ experience in software engineering with C++.
  • Good experience with applications design and software architecture.
  • Experience with compute-intensive analytics and technical computing workload solutions.
  • Good exposure/understanding of end to end software development. For Ex: Test Driven Development, Continuous Integration/Delivery, Code Coverage, and DevOps.
  • Understanding of design patterns, best coding practices, defensive programming.

 

Preferred Skills

  • Understanding of fixed income products and analytics (MBS, Loans, Bonds, IR Derivatives, CMO, OAS, Duration, Convexity, KRD)
  • Experience with sophisticated models (financial or scientific) and data analysis.
  • Cloud experience, preferably with Amazon Web Services.
  • Experience with caching and virtualization technologies.
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