- 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 or 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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Quantitative Software Engineer - Florham Park, United States - Jacobs Levy Equity Management
Description
Jacobs Levy Equity Management, an institutional asset manager located in Florham Park, NJ, is seeking Quantitative Software Engineers to play a key role in contributing to the quantitative investment processes.
Be part of a team that leads our future. 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 data sets, and solve challenging business problems.
As part of a team, Primary Responsibilities include:
Requirements Include:
Jacobs Levy Equity Management focuses exclusively on managing equity portfolios for institutional clients. We encourage intellectual curiosity and offer a good work/life balance, competitive compensation, and a collegial environment.
