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Your immediate role will be to help uplift desk modelling in the area, to help drive long-dated pricing along with providing clients and the desk insights into these rapidly changing markets. The output of this will be via a variety of formats including internal analytics.
The group look at real-time problems via rigorous technology, quantitative modeling, and data science. The role is commercial and innovative - taking solutions to drive returns, risk-taking, and risk management. The business facilitates risk transfer and physical logistics for their clients: corporations that produce and consume commodities, investors, and governments throughout the world. They work with tangible assets: crude oil and products, precious and base metals, natural gas and power, agricultural products. The team is highly integrated with both the trading and origination functions which drives successful outcomes for clients and the business.
BS/MS in a computational field - Applied Mathematics, Physics, Engineering, Computer Science.
Strong programming background in compiled or scripting languages (C/C++, Python, Java, etc.).
Prior experience in Power and Gas, ideally in renewables, building price and output models.
Excellent written and verbal communication skills.
Ideally knowledge in Time series analysis, statistics and derivative pricing.
Ideally some experience with building and maintaining web interfaces.
Experience in idea generation and comfort across other asset classes within Commodities also beneficial.