Software Developer
Squarepoint Capital
Software Developer
Squarepoint Capital
Manages quant-driven, systematic portfolios globally
Position Overview:
As a Reliability Software Engineer in the Risk team, you will play a critical role in ensuring the performance, stability and availability of the Risk software systems, as well as their day-to-day operations. Squarepoint's Risk platform is responsible for position management, profit/loss computation, inventory/locate management and internal order routing. These critical systems need to be performant, resilient, and capable of timely processing of high volumes of trading data. As such, the team requires a high software development capacity, along with strong analytical skills.
You will primarily be building firm-wide platforms focused on extending Squarepoint's observability, preventing functional regressions and performance regressions, and automating operational flows. You will also make use of these platforms by implementing domain-specific logic on top of them, tailored to the requirements of the relevant sub-teams of Risk. Here are some examples of our projects:
Operations are important to ensure business continuity, as-such our responsibilities also include:
Required Qualifications:
Nice to have:
Manages quant-driven, systematic portfolios globally
Squarepoint Capital is a global investment manager that uses quantitative and systematic strategies to build diversified portfolios across asset classes, trading frequencies, and global markets for institutional investors. Its approach relies on a large data platform and advanced technology to power research and model-based trading decisions, with portfolios continually adjusted in response to market data. The firm differentiates itself through a broad, multi-asset, multi-frequency framework, a global footprint with offices in thirteen cities, and a collaborative culture that emphasizes rigorous research and disciplined execution. Its goal is to deliver attractive, risk-aware returns for pension funds, endowments, and sovereign wealth funds through systematic, data-driven investment processes.
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