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Lead Data Scientist - Front Office Commodities Trading. FTSE 100, Lond

Our partner is looking for

Lead Data Scientist - Front Office Commodities Trading. FTSE 100, Lond

Cvonline.hu partner
Régió: Anglia
 
Hozzáadva: 2020.01.07.
Jelentkezési határidő: 2020.01.13.

Lead Data Scientist - Commodities Trading. FTSE 100, London. Python, Analytics, Machine Learning.

Our client are one of the UK's most prestigious brands, with a global footprint and one of the largest, most advanced and profitable commodities trading business on the planet. As they further develop and deliver their digitalisation agenda (including Systematic and Algo trading), they have an urgent requirement for a Lead Data Scientist to join their Market Intelligence team within the Front Office aligned Data Analytics group.

The successful candidate will work with the business users - Traders, Analysts, Data Strats, Market Intelligence and Core Strats to interpret and define actionable insights, enabling the business to increase revenue and profitability. You will work with large, unstructured, disparate data sets in order to produce forecasting and machine learning algorithms and models, enabling the business to trade more effectively.

The successful candidate will be a proven Data Scientist and possess strong experience working within a Data Science capacity in a Front Office environment of a commodities trader or investment bank. You will have strong Python programming experience including Pandas, Numpy, Jupyter and Sci-kit learn and the ability to apply your Quantitative, Statistical and Optimisation skill set in a complex, commercial eco-system.

This is an excellent opportunity to work alongside true industry leaders and have a direct impact on the revenue of the Front Office PnL. It offers flexible working, long term career growth and the opportunity to work on large scale, complex problems/opportunities.

Please do not hesitate to apply or call Oliver for a confidential pre-application conversation.

Helyek Anglia
Kategória IT / Informatika
Aktiválás időpontja 2020.01.07.
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