Logistics Analyst Apprentice supporting Navy Shipbuilding Program Offices at NAVSEA in Washington, DC. Responsibilities include learning logistics management and interfacing with government customers.
About the role
- Quantitative Analyst developing data-driven models for the dry bulk freight market. Collaborating with engineers to enhance analytical tools and provide market insights.
Responsibilities
- 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
- 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
- Health insurance
- Flexible working hours
- Professional development opportunities
- Inclusive and diverse work-environment
- Unparalleled support
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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