Data Scientist – Banking and Finance

Location:

Zurich, Switzerland

Job Description:

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

Main Responsibilities:

  • 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

Qualifications:

  • 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

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