Quantitative Freight Analyst - Dry Bulk
Team: Ags & Dry
Location: London
Commitment: Full-time
Workplace Type: hybrid
Your mission is to:
- 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
- Ensure model performance through ongoing monitoring, validation, and iteration
You could be a match if you are or have:
- 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
- Knowledge of and experience analysing complex supply chains
- Comfortable retrieving data from APIs and relational databases (PostgreSQL preferred)
- Understanding of the fundamental supply and demand drivers of the dry bulk freight market, how routes are priced, and the roles of commercial players in transactions
- Knowledge of voyage economics or seasonal commodity patterns
- Comfortable using AI coding assistants to accelerate development and problem-solving
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