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:

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

Requirements Include:

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

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.

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