Data Scientist Commodity Trading

For our client, a company from Banking and Finance based in Zürich, we are looking for an experienced specialist as a Data Scientist.

Tasks

• Identify and collect relevant datasets together with analysts and traders
• Manage new and existing datasets
• Design and maintain explanatory data models
• Create forecasting models and maintain forecasts
• Design and evaluate trading strategies in commodity markets
• Conceptualize financial drivers of the commodity markets and translate them into quantitative trading systems using advanced analytics, including Machine Learning
• Analyze cross-commodity correlations as well as portfolio dependency and performance in different macroeconomic environments
• Coordination with IT and infrastructure teams to ensure best practices are followed

Profile

• Master's degree in a STEM subject (Mathematics, Computer Science, Natural Sciences, Technology)
• Confident handling of data (scraping, SQL/NoSQL databases, data wrangling, etc.)
• Excellent knowledge in data visualization with Power BI, Python/R, etc.
• Sound statistical knowledge and understanding of analytical and Machine Learning methods
• Proven ability to translate real business questions into statistical or Machine Learning models
• Excellent quantitative programming skills in Python and/or R
• Proven project management skills
• Experience in commodity trading
• Sound understanding of financial time series
• Experience with sentiment, satellite, image, and social media data
• Experience with cloud platforms (AWS, Azure, Google Cloud)
• Experience with version control

Company

Banking & Finance

Application: online via Try&Hire, with your profile — https://tryandhire.io/ch-de/einsaetze/e/data-scientist-rohstoffhandel-tah-fxawe/