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The role will involve building a small team of 2-3 analytics engineers. Your team will be tasked with designing, implementing and maintaining the MIS and execution analytics tools used for pre trade and post trade analytics within the execution business.   You will  work with large datasets (tick data) and will build out standard data views, optimize complex and highly distributed data pipelines for advanced quantitative modeling and real-time analytics feeding into the execution stack. The technology used includes R, Python and KDB.  

Requires

• Strong developer in all three of the following: R, Python and KDB. 
• Experience working with data and analytics using KDB+ for applications in financial markets, in particular Equities.
• Proven track record of building code following solid development standards.
• Excellent communication skills (needs to be able to work with QR and Trading).
• Ability to work in a fast-moving environment (able to make trade-offs and do work that is “good enough”, then move on to next task).
• High degree of motivation and strong work ethic.

If you would like to be considered for the position of Head of Analytics Engineering or wish to discuss it further please leave your details below.  Your resume will be held in confidence until you connect with a member of our search team