Meeting Demand for Distributed Computing in Finance

Cloud computing

Analytics of securitized and derivative products is a challenge in that it is data-intensive, computationally expensive and must be done by the deadline. Concurrently, the industry demands faster computations, while IT budgets remain the same or have been reduced, presenting the proverbial business conundrum: how to do more with less.

Albeit, the topology of these computations falls into the "embarrassingly parallel" category, a prime candidate to leverage Amdahl's Law, which states that larger

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Systematic tools gain favor in fixed income

Automation is enabling systematic strategies in fixed income that were previously reserved for equities trading. The tech gap between the two may be closing, but differences remain.

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