StreetID · 2 days ago
Quantitative Developer
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Responsibilities
Building components for both live trading and simulation
Refining and increasing automation and robustness of the research infrastructure including alpha estimation, risk modeling, and backtesting components
Building tools for signal blending, simulation, portfolio construction, the research framework, and dashboards
Maintaining and updating the platform, ensuring its stability, robustness, and security
Developing robust data checking and storage procedures
Troubleshooting and resolving any systems related issues and handle the release of code fixes and enhancements
Qualification
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Required
Bachelor’s degree or higher in computer science or other STEM discipline
Advanced proficiency in Python and its ecosystem (numpy, pandas, polars, scikit-learn), with an understanding of Python and library internals
Proficiency with Linux
Hands-on experience with software architecture and engineering best practices (testing, CI/CD, monitoring, profiling, version control)
Knowledge of one or more of: distributed systems, databases, ML engineering, AWS
Strong quantitative and analytical skills; command of linear algebra, statistics, and machine learning would be helpful
Commitment to the highest ethical standards
Preferred
Experience contributing to core Python numerical libraries is a huge plus (numpy, tensorflow, torch, jax)
Proficiency with C/C++ is a plus
Knowledge of financial markets is a plus