Equity Finance Quantitative Strategist — VP/SVP
Tasks
- Architect production-grade Python systems
- Automate research workflows
- Build AI automation pipelines
- Build anomaly detection and monitoring
- Build client analytics tools
- Build collateral optimization algorithms
- Build custom basket construction tools
- Build factor analytics engines
- Build interactive dashboards
- Create PnL attribution risk analysis and scenario modelling
- Design pre-trade optimization models
- Develop AWS data pipelines
- Develop bespoke quantitative tools
- Develop funding rate projection models
- Develop liquidity models
- Extract insights from unstructured data
- Implement data ingestion and reconciliation pipelines
- Support research prototype production and monitoring
Perks/Benefits
- 401k
- Health, dental, vision coverage
- Life, accident, and disability insurance
- Paid parental leave
- Paid time off
- Wellness programs
Skills/Tech-stack
AWS | Airflow | Clustering | Collateral Management | Derivatives pricing | Equity swaps | Event Driven | Event-driven architecture | Financial Mathematics | Gradient boosting | Lambda | Language Models | Language Processing | Large Language Models | MWAA | NLP | Natural Language | Natural Language Processing | Optimization | Prime brokerage | Prompt engineering | PyTorch | Python | Redshift | S3 | Scikit-learn | Securities lending | Statistics | Streaming Analytics | XGBoost
Education
Regions
Countries
States
Cities
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