Create and continuously improve analytical commodity market models in Python: Co-develop with our analysts & engineers strong quantitative market models, such as demand modelling, supply modelling for capacity & cost, storage, trade & transport modelling, market balance & market price forecasting. Apply mathematical optimization techniques to logistics and trading-related problems (e.g., routing)
Connect, clean, and impute freight, pricing, and supply/demand datasets from diverse internal and external sources. Turn raw, imperfect and incomplete data into actionable market insight
Create interactive analytics, planning and decision support tools that utilize & visualize data & models (eg Dash by Plotly). Innovate fast prototypes with Spec-Driven-Development. Deliver data and models into ICIS Data Lakehouse and shared platforms.
Discuss models with customers. Share our view on the market structure, key drivers & decision support. Translate gained domain knowledge back into models and build a deep understanding of operation and decision making in our markets
Work goal-driven and self-organized with own project management responsibility on developments from day 1.
Work with data engineers to productionize models and integrate new data sources into the platform
Guide and support others in the development of models as well as create hands-on own implementations of framework enhancements. Actively share components, knowledge & innovation with peers
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