
Job Overview
Location
London
Job Type
Full-time
Category
Data Analyst
Date Posted
February 26, 2026
Full Job Description
📋 Description
- • Join Kpler, a leading global provider of commodity intelligence, and play a pivotal role in shaping the future of the dry bulk freight market. As a Quantitative Freight Analyst, you will be instrumental in developing and maintaining sophisticated data-driven models that underpin our market-leading insights. This is a unique opportunity to dive deep into complex datasets, originate innovative research, and build analytical tools that directly impact our in-house analysts and external clients.
- • Your primary responsibility will be to enhance and expand Kpler's existing dry freight market forecasts. This involves a deep dive into historical data, current market dynamics, and forward-looking indicators to create robust and reliable projections. You will be expected to identify trends, anomalies, and potential disruptions within the dry bulk sector, translating these observations into actionable intelligence.
- • A significant aspect of this role will involve developing and refining ton-mile demand projections. This requires a nuanced understanding of global trade flows, vessel movements, cargo origins and destinations, and the economic factors influencing shipping demand. You will build models that accurately capture the intricate relationships between these variables, providing clients with a clear view of future demand patterns.
- • You will be responsible for originating and owning research ideas from conception to execution. This means proactively identifying gaps in market understanding, formulating hypotheses, and designing analytical approaches to test them. Your intellectual curiosity and ability to think critically will be key to uncovering novel insights that differentiate Kpler in the market.
- • Building and maintaining analytical tools is a core component of this position. You will leverage Kpler's proprietary data, alongside a wide array of external datasets (including but not limited to AIS data, trade statistics, economic indicators, and weather patterns), to construct sophisticated models. Proficiency in programming languages and statistical software will be essential for developing, testing, and deploying these tools.
- • Collaborate closely with Kpler's in-house team of commodity and maritime analysts. You will act as a subject matter expert, providing quantitative support and insights to enhance their research and analysis. This collaborative environment fosters a continuous learning experience, where your quantitative expertise will be valued and applied to real-world market challenges.
- • Communicate complex quantitative findings in a clear, concise, and accessible manner to both technical and non-technical audiences. This includes preparing reports, presentations, and visualizations that effectively convey the implications of your analysis to clients and internal stakeholders.
- • Stay abreast of the latest developments in quantitative finance, econometrics, machine learning, and data science, particularly as they apply to commodity markets and maritime logistics. Continuously explore and implement new methodologies and technologies to improve the accuracy and efficiency of Kpler's analytical capabilities.
- • Contribute to the development of Kpler's data infrastructure and analytical frameworks. You will help ensure that our data is clean, well-structured, and readily available for advanced quantitative analysis, thereby enhancing the overall analytical power of the organization.
- • This role offers the opportunity to make a tangible impact on how businesses understand and navigate the complexities of the global dry bulk trade. By providing accurate forecasts and insightful analysis, you will empower our clients to make strategic decisions, optimize their operations, and achieve their business objectives in a highly competitive landscape.
- • You will be part of a dynamic and international team, contributing to Kpler's mission of simplifying global trade information and delivering top-tier intelligence. Embrace the challenge of transforming intricate data into actionable strategies and experience unparalleled support in your professional growth.
🎯 Requirements
- • Proven experience in quantitative analysis, financial modeling, or econometrics, with a strong focus on commodity markets, energy, or maritime sectors.
- • Proficiency in statistical programming languages such as Python (with libraries like Pandas, NumPy, SciPy, Scikit-learn) or R, and experience with SQL for data querying and manipulation.
- • Strong understanding of time-series analysis, forecasting techniques, and statistical modeling principles.
- • Excellent analytical and problem-solving skills, with the ability to translate complex data into actionable insights.
- • Bachelor's or Master's degree in a quantitative field such as Economics, Statistics, Mathematics, Finance, or a related discipline.
🏖️ Benefits
- • Competitive salary and performance-based bonus structure.
- • Comprehensive health, dental, and vision insurance.
- • Generous paid time off and public holiday allowance.
- • Opportunities for professional development and continuous learning.
- • A dynamic and international work environment with a collaborative team culture.
Skills & Technologies
About Kpler S.A.S.
Kpler S.A.S. provides real-time and historical data on commodity flows, tracking global shipments of crude oil, refined products, liquefied natural gas, metals, and agricultural goods. The company aggregates satellite, customs, and port data into a web-based analytics platform used by traders, producers, shippers, and financial institutions to monitor supply chains, assess inventories, and forecast market balances. Founded in 2014 and headquartered in Paris, Kpler employs proprietary algorithms and a global network of sources to deliver granular cargo-level information, enabling clients to make informed trading, logistics, and risk-management decisions across energy and bulk commodity markets.
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