Senior Freight Forecasting & Data Analytics Lead

Kpler

Greater London

Vor Ort

GBP 90.000 - 120.000

Vollzeit

14 Tage+

Eine vollständige Bewerbung in einer Minute

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Zusammenfassung

Kpler is seeking 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 using Kpler and external data to deliver market insights to in-house analysts and clients.

A focus will be expanding forecasts and ton-mile demand projections. Your role will involve developing and deploying time series forecasting models, building reproducible analysis systems, and translating

Qualifikationen

  • Develop and maintain time series forecasting models for freight rates and ton-mile demand.
  • Translate complex quantitative outputs into actionable insights for analysts and clients.
  • Collaborate with engineers and product owners to enhance freight market data and tools.

Aufgaben

  • 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

Kenntnisse

Systems thinking
Time series forecasting
Python/R/JVM
Insights from data
Ownership
Fluent English

Tools

PostgreSQL
APIs

Jobbeschreibung

Kpler is seeking 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 using Kpler and external data to deliver market insights to in-house analysts and clients.

A focus will be expanding forecasts and ton-mile demand projections. Your role will involve developing and deploying time series forecasting models, building reproducible analysis systems, and translating

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