- Develop internal applications and libraries using a variety of technologies and programming languages (primarily MATLAB, as well as Python, C/C++, SQL Server, Oracle, etc.) following a defined development process.
- Responsible for requirement gathering, implementation, documentation, and testing for both new systems and enhancements to existing code.
- Apply domain and technical knowledge to improve efficiency and productivity.
- Become familiar with technical aspects of production models and the process of deploying changes into production.
- Develop and improve monitoring, data visualization, and analytics capabilities using modern technologies.
- Interface and work with users to analyze current procedures and suggest process improvements.
- Monitor, support, and troubleshoot our live system of models and risk management system.
- Keep up to date with industry trends and current technology and share knowledge with colleagues.
- Bachelor's degree in Computer Science or related field or similar industry experience
- Expertise in at least one common programming language (e.g., Python, Java, C/C++, .NET, MATLAB)
- Knowledge of relational database design and implementation (SQL Server and/or Oracle, stored procedures, optimization)
- Innate curiosity with a passion for applying technology to solve problems
- Strong mathematical and analytical skills
- Interest in financial markets and/or quantitative investing
- Excellent interpersonal skills and ability to succeed in a team-based collaborative environment
- Effective verbal and written communication skills
- Self-motivated and possessing a solid work ethic
- Ability to work in a dynamic, fast-paced environment
- Strong attention to detail
Software Engineer - Baltimore, United States - Campbell & Company
Description
The Software Engineer (SE) 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 SE may also work in a cross-department capacity with colleagues from Market Data, Operations, Trading, and others.
The SE joins the Risk Team in Research and will report to the Chief Risk Officer.
Principal Responsibilities:
Development
Portfolio Oversight
Maintenance and Support
Continued Learning
Required Qualifications