Senior Quantitative Developer - Python
Tasks
- Build interactive applications and dashboards for market analysis risk management profit and loss and portfolio performance
- Build quantitative tools including backtesting frameworks optimization engines pricing libraries risk analytics and research platforms
- Collaborate with researchers traders data engineers cloud engineers and production support to deliver production solutions
- Contribute to AI enabled applications and workflows for research and trading
- Design develop deploy and support cloud based Python applications for research and trading
- Develop scalable data pipelines for market fundamental and alternative datasets
- Improve scalability reproducibility and operational reliability of research workflows
- Own projects from requirements gathering and technical design through deployment monitoring and support
- Use AI assisted development tools for productivity testing documentation and debugging
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | AWS CDK | AWS Lambda | Automated testing | Continuous integration | Dash | Distributed Computing | Docker | DynamoDB | ECS | ELT | ETL | ETL Pipelines | FastAPI | Git | Infrastructure as Code | Kubernetes | Monitoring | NumPy | Packaging | Pandas | Plotly | Python | RDS | Relational databases | S3 | SQL | Streamlit | Workflow Orchestration | “as-code”
Education
N/A
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