Quantitative Freight Analyst - Dry Bulk

Added
7 days ago
Type
Full time
Salary
Salary not provided

Related skills

java r postgresql python apis

๐Ÿ“‹ Description

  • Develop, deploy, and maintain time series forecasting models for freight rate movements and ton-mile demand
  • Build automated, reproducible analysis systems for freight market forecasting
  • Originate and own research ideas that advance Kpler's dry bulk freight offering
  • Collaborate with engineers and product owners to enhance freight market data and analytical tools
  • Identify and evaluate opportunities for future development of freight research capabilities
  • Translate complex quantitative outputs into actionable insights for analysts and clients

๐ŸŽฏ Requirements

  • Demonstrated ability to think in systems: you understand how components interact, feedback loops, and emergent behaviours in complex markets
  • Experience developing and maintaining time series forecasting models for freight rate movements
  • Some experience programming in Python, R, or a JVM-based language
  • Ability to translate complex quantitative outputs into actionable insights
  • Good sense of ownership: pragmatic problem-solving skills, constructive critique, and the ability to iterate towards end-to-end solutions
  • Fluent in English: excellent communication skills and the ability to work and collaborate in an international, cross-cultural environment
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