Industry – Financial Services

Product – SFA NVMe

Encouraging Quantitative Analysts to Operate Independently With Parallel Processing​

Jump Trading is a leading data and research-driven trading firm that focuses on algorithmic and high frequency trading.​

Jump Trading prides itself on its unique practices that allow its quantitative analysts to function at maximum productivity. At Jump, quants are encouraged to operate independently and innovate using whatever methods they see fit. ​

The firm’s lack of central control removes the rigid bureaucracy of traditional firms and allows them to experiment and move at a much faster pace. However, this strategy comes at the price of some serious infrastructure challenges. To pull it off, Jump turned to DDN’s, equally unique, QLC technology to accelerate efficiency of compute resources.​

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Challenges

While decentralizing the management of approaches their quantitative analysts take provides a strategic advantage in the firm’s ability to outpace competition, it makes enforcing efficient IO near impossible. As a result, to make this strategy work, Jump required a robust and highly efficient compute infrastructure capable of handling diverse workloads concurrently and with little to no processing latency.​

Solution

  • DDN 400NVX2 QLC systems
  • Simple NVME-oF backend

Benefits

  • Decreased processing latency by 10x​
  • Parallel protocol enabled concurrent diverse workloads across a high number of nodes​
  • Instant results upon deployment​​
DDN QLC systems are a really important part of that environment to get IO to our researchers as quickly as possible.​
~ Alex Davies​
Chief Technology Officer​
Jump Trading​
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