Summary

Quantitative analyst role focused on modelling dry bulk freight rates and ton-mile demand using time series forecasting, Python, R, and PostgreSQL. The role develops research and analytical tools for Kpler analysts and clients, with no working arrangement specified.

Responsibilities

• Develop time series freight rate models
• Build reproducible freight forecasting systems
• Originate and own dry bulk research ideas
• Enhance freight market data and analytical tools
• Monitor, validate, and iterate model performance
• Translate quantitative outputs into client insights
• Retrieve data from APIs and PostgreSQL