July 2017: The Human Factor

In the world of traditional data management versus advanced analytics, some see data managers as sherpas and data science professionals as rocket scientists.

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As Kirsten Hyde outlines, traditional market data management roles are currently in flux, seemingly depending on their firm’s overall strategy, and on their ability to demonstrate their value to management: Some functions deemed value-add will not only remain safe from staff cuts, but may even see greater investment in headcount, while commoditized functions are oftentimes merged into company-wide procurement departments or offshored to low-cost centers abroad.

In contrast, an area where demand

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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.

Why recent failures are a catalyst for DLT’s success

Deutsche Bank’s Mathew Kathayanat and Jie Yi Lee argue that DLT's high-profile failures don't mean the technology is dead. Now that the hype has died down, the path is cleared for more measured decisions about DLT’s applications.

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