Principal Associate, Quantitative Analysis - Investment Portfolio Team
Tasks
- Apply large language models and agentic workflows
- Build and scale cloud solutions
- Communicate technical insights to executive stakeholders
- Deploy models to production and monitor performance
- Design neural network and deep learning solutions
- Develop finance models
- Enhance and deploy machine learning models
- Implement transformer architectures
- Maintain model documentation
- Model fixed income valuation
- Own end-to-end model development and deployment
- Perform data engineering and model validation
- Use Kubeflow for ML workflows
- Use Kubernetes for model deployment
- Use quantitative methods to optimize financial processes
Perks/Benefits
- N/A
Skills/Tech-stack
Agentic Workflows | Cloud Computing | Cross-sectional data | Cross-sectional data analysis | Data Analysis | Data Engineering | Deep learning | Econometric Modeling | Kubeflow | Kubernetes | Language Models | Large Language Models | Linear Regression | Logistic Regression | Machine Learning | Neural Networks | Panel data | Panel data analysis | Python | R | SQL | Series analysis | Statistical modeling | Survival analysis | Time Series | Time Series Analysis | Transformers
Education
Roles
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