Location:

Zurich, Switzerland

Job Description:

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

Identify and collect relevant datasets along with Analysts and Traders
Manage new and existing datasets
Design and upkeep explanatory data models
Produce predictive models and maintain forecasts
Design and evaluate trading strategies in commodity markets
Conceptualize financial drivers of commodity markets and translate them into quantitative trading systems using advanced analytics including machine learning techniques
Analyze cross commodity correlations and portfolio dependency/performance in different macro environments
Manage the coordination with IT and infrastructure teams to ensure best practices are utilized

Master’s degree in a STEM field (Statistics, Technology, Engineering and Math)
Fluency in data (scraping, SQL/NoSQL databases, data wrangling, etc.)
Expert data visualization skills with Power BI, Python/R, etc.
Deep statistical knowledge and understanding of analytical and machine-learning techniques
Proven ability to translate real business problems into statistical/machine learning models
Expert quantitative programming skills in Python and/or R
Proven project management skills
Exposure to commodities trading environment
Deep understanding of financial time series
Exposure to sentiment data, satellite data, image processing, social media data
Experience with cloud platforms (AWS, Azure, Google Cloud)
Experience with source control