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Squarepoint Capital
London, United Kingdom
Other
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Yes
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838f153dc925
67
12.08.2025
26.09.2025
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Team: Data Services
The Data Development group manages the lifecycle of data used by investment for trading, backtesting and research. We work with quants and tech teams to integrate, process and serve data from vendors and public sources in Squarepoint's data infrastructure (alpha data and cross-asset referential data).
We are currently seeking new data developers to join our growing teams. You will be part of a learning culture, where teamwork and collaboration are encouraged, excellence is rewarded and diversity of thought and creative solutions are valued.
Reference Data Services teams work closely with portfolio managers to design, implement, test and maintain Squarepoint's service-oriented database architecture for research and production. They work primarily in kdb+ and own Squarepoint's core model of reality, normalize many datasets to that model, and expose that model through robust, redundant, scalable infrastructure with an uptime greater than 99.999% during trading hours. There is a strong operational component to the role, as they act as level 2+ support for these services during live trading.
Position Overview:
Required Qualifications:
Nice to have:
The minimum base salary for this role is $60,000 if located in New York. This expectation is based on available information at the time of posting. This role may be eligible for discretionary bonuses, which could constitute a significant portion of total compensation. This role may also be eligible for benefits, such as health, dental, and other wellness plans, as well as 401(k) contributions. Successful candidates’ compensation and benefits will be determined in consideration of various factors
* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.