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My client are looking for someone to join the commodities automation strats team, to help them develop automated trading solutions across a number of commodity underlies.
The team uses their quantitative and scientific training, as well as experience in the financial markets, to develop a platform to automate the management of risk and pricing in collaboration with the trading teams. They participate in a broad spectrum of commodity markets from the fast-paced and high-frequency to the slow-moving and sparsely-trading - each with its own set of unique challenges.
Degree in a quantitative field: Mathematics, Computer Science, Physics or Engineering.
Exceptional software engineer with experience in front office environment and passion for programming.
Strong understanding of probability, statistics and optimization.
Experience in Python, Java, and Linux programming environment in addition to high-performance computing and networking.
Ideally some prior experience in commodities at another bank or hedge fund.
Time series analysis, statistics, machine learning.
Commodities markets and the development of quantitative trading strategies in these markets.
Looking for current Quantitative analyst/Quantitative researchers/Quantitative developers/Quantitative Traders only.