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Kpler

Quantitative Freight Analyst – Dry Bulk

Kpler

. Develop, deploy, and maintain time series forecasting models for freight rate movements and ton-mile demand .

Posted 2/24/2026full-timeLondon • 🇬🇧 United KingdomJuniorWebsite

Tech Stack

Tools & technologies
PostgresPython

About the role

Key responsibilities & impact
  • 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

Requirements

What you’ll need
  • 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 (Desirable)
  • Comfortable retrieving data from APIs and relational databases (PostgreSQL preferred) (Desirable)
  • 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 (Desirable)
  • Knowledge of voyage economics or seasonal commodity patterns (Desirable)
  • Comfortable using AI coding assistants to accelerate development and problem-solving (Desirable)

Benefits

Comp & perks
  • Health insurance
  • Flexible working hours
  • Professional development opportunities
  • Inclusive and diverse work-environment
  • Unparalleled support

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools
time series forecastingPythonRJVM-based languagedata analysismodel performance monitoringvalidationiterationAPI data retrievalrelational databases
Soft Skills
system thinkingpragmatic problem-solvingconstructive critiqueiteration towards solutionscommunication skillscollaborationownershipactionable insights