Quantitative Developer
Tasks
- Build data pipelines
- Build feature generation and training workflow
- Build reliable historical and real time data infrastructure
- Create research APIs
- Define architecture and engineering practices
- Deploy models and run live monitoring
- Design and build research and trading platform
- Develop backtesting and simulation frameworks
- Implement portfolio and execution tooling
- Implement studies and test hypotheses
- Improve performance and scalability
- Productionize statistical and machine learning models
- Take systems from prototype to production
Perks/Benefits
- N/A
Skills/Tech-stack
APIs | Backtesting | C++ | Concurrency | Data pipeline | Deep learning | Distributed Training | Execution systems | Feature Engineering | GPU Computing | High Performance | High-Performance Computing | Kernel development | Linux | Live monitoring | Machine Learning | Model Deployment | Networking | Optimization | Performance Computing | Portfolio Management | PyTorch | Python | Reproducibility | Simulation | Statistical modeling | Unix
Education
Roles
Developer | Engineer | Quantitative Developer | Research Engineer
Regions
Countries
States
Cities
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