Quantitative Freight Analyst - Dry Bulk
Core
Develop and maintain data-driven models for dry bulk freight market forecasts and ton-mile demand projections.
Role type
Quantitative Analyst (Dry Bulk Freight)
Builds
Time series forecasting models, automated analysis systems, and market insights for clients and internal analysts.
Domain
Maritime logistics, dry bulk commodities, global trade
Deliverable
production ML models
Required skills
Time series forecasting, Python/R/JVM programming, quantitative modeling, data analysis, system thinking, stakeholder collaboration
Preferred skills
Supply chain analysis, API/database retrieval (PostgreSQL), voyage economics, AI coding assistants
Technologies
Python, R, JVM-based languages, PostgreSQL
Responsibilities
Develop and deploy time series forecasting models for freight rates and ton-mile demand; Build automated, reproducible analysis systems; Originate and own research ideas for dry bulk freight offerings; Collaborate with engineers to enhance data and tools; Translate complex quantitative outputs into actionable insights; Monitor and validate model performance.