Quantitative Freight Analyst - Dry Bulk

Kpler are looking for an experienced Quantitative Analyst to develop and maintain data-driven models of the dry bulk freight market. You will originate and own research ideas, and build analytical tools that leverage Kpler and external data, to deliver market insights to in-house analysts and clients. A key focus is expanding Kpler's dry freight market forecasts and ton-mile demand projection.

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