Summary

Quantitative analyst supporting clients with portfolio construction, backtesting, signal generation, and tradeable forecasts. The role combines python, pandas, and Jupyter-based research with client-facing technical support for financial datasets.

Responsibilities

• Translate datasets into portfolio strategies
• Develop portfolio construction and backtesting approaches
• Generate signals and tradeable forecasts
• Answer client questions on data quality
• Write publishable research articles and data notes
• Investigate client data issues with engineers
• Build reproducible python analyses in Jupyter