Quantitative Software Developer
$85k - $130kCampbell & Company, LP
Overview The Quantitative Software Developer (internally referred to as a Software or Research Engineer) contributes to the creation and implementation of research ideas and solutions through the design, development and maintenance of the firm’s proprietary research models and libraries. This includes the ability to understand and properly implement, test, refine and expand upon mathematical models using time series objects, basic statistics code, graphing functions, simulations, basic database queries, unit testing and reporting functions. The Quantitative Software Developer may also work in a cross-department capacity with colleagues from Market Data, Operations, Trading, and others. There are multiple open Quantitative Software Developer roles within Campbell’s Research department. Applicants are considered for all opportunities, and the assignment for the successful candidates will be based on the fit and needs as assessed by the hiring managers. Principal Responsibilities Development
- Develop internal applications and libraries using a variety of technologies and programming languages (primarily MATLAB, as well as Python, C/C++, SQL, etc.) following a defined development process.
- Gather requirements, implement, document, and test both new systems and enhancements to existing code.
- Apply domain and technical knowledge to improve efficiency and productivity.
- Take leadership in key technical initiatives.
- Mentor and coach colleagues in best practices of software development and project management.
- Develop expertise with technical aspects of production models and take responsibility for the successful and correct deployment of changes into production.
- Identify, propose, and lead development of improvements to monitoring, data visualization, and analytics capabilities.
- Interface and work with users to analyze current procedures and proactively suggest process improvements.
- Monitor, support, and troubleshoot our live system of models and risk management system.
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