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The role requires a thought leader, who is comfortable working with high levels of ambiguity and uncertainty and communicating complex ideas easily to stakeholders. You will also be applying data mining techniques, doing statistical analysis, and building high-quality prediction systems. You'll be working closely with front office traders to scope out and deliver data science projects in the refined commodity derivatives space.
As a Data Scientist, your key responsibilities will cover the following:
Investigating and conceptualising market knowledge from traders i.e. patterns, indicators
Realising commonly observed trends into trading strategies
Data cleansing and presenting large data sets from exchanges into an analysable/presentable model
Analysing large sets of previous exchange provided data, working alongside traders to identify trading strategies
Maintaining and improving systematic trading tools
Monitoring trading strategies and data sets intraday to identify trading opportunities
Experience in developing/creating quantitative trading strategies
Experience working with Time Series Forecasting/Modelling
Solid coding/programming skills in Python or C++ – efficient, well-documented and maintainable modules
Experience working with large sets of data
Experience working with exchange data feeds
Experience in analysing structured data to develop trading strategies
Ability to communicate concisely and clearly under a high-pressure environment
3+ years of hands-on experience in a similar field
Understanding/experience of the commodities refined product markets
Experience in OTC trading environments
VCMT is a leading commodities trading firm specialising in global energy markets. At VCMT, exceptional people are empowered to become the best version of themselves. It's a place where outstanding ideas triumph and results are rewarded regardless of rank or tenure.