Quantitative Software Engineer
We are seeking Quantitative Software Engineers to play a key role in contributing to the quantitative investment processes. Our engineers are responsible for the design, implementation, optimization, and testing of our proprietary quantitative investment systems. You will have a great opportunity to build a next generation system for global portfolio management, work with large datasets, and solve challenging business problems.
As part of a team, Primary Responsibilities include:
- Implement and enhance quantitative models, proprietary portfolio construction, and optimization techniques with Research and Portfolio Management teams
- Architect and manage global data repository incorporating millions of financial and market data points
- Create high performance simulation and optimization engines
- Develop and manage investment workflow management systems
- Build and extend analytics and reporting platforms
- MS/PhD in Computer Science, Engineering, Statistics, or related discipline
- Must have strong programming skill in Python/Julia, experience with NumPy/Pandas or similar quantitative software a plus
- Must have hands-on programming Experience in C/C++
- 2+ years’ experience with database technologies like SQL server, Oracle, etc.
- Outstanding coding, debugging, and analytical skills
- An aptitude for math and statistics
- Knowledge in .NET and C# is a plus
- Passionate about solving complex business, data, and technical challenges
- Contributions to open source software a big plus
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