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Salary
≈ $55k – $107k per year (Estimated)
Location
In office (Singapore)
Seniority
Middle · 4+ years exp

Confirmed on the employer's own hiring board on Nov 1, 2026. First seen by Alion on Sep 30, 2024. Squarepoint Capital scores C on the Alion truth index.

Overview
Company
Impact
Profile match
Squarepoint Capital is a global quantitative investment manager that runs systematic trading strategies across equities, fixed income, foreign exchange, commodities and derivatives, built on in-house research, execution and portfolio management technology. Founded in 2014 as a spin-out of the quantitative trading business of Deutsche Bank, it operates offices in North America, Europe and Asia-Pacific, including New York, Montreal, Singapore, Bengaluru and Geneva. The firm is headquartered in London, England, United Kingdom.

Position Overview:

Risk Technology is a global team that designs, builds and maintains Squarepoint’s trading risk platform, which is responsible for trade capture, 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 in both live and historical scenarios, requiring solutions to process, propagate and store rapidly changing datasets efficiently. The Risk platform is undergoing significant investment to build a new service orientated architecture. We’re looking for talented engineers with a passion for software development who enjoy working in a dynamic, global and collaborative environment, with a strong focus on engineering excellence.

Required Qualifications:

  • Bachelor’s Degree in Engineering, Computer Science or related subject.
  • 4+ years’ C++ Linux based development experience.
  • Knowledge of data structures and algorithms.
  • Team player with excellent communication skills.

Nice to have:  

  • Experience with scalable large-scale / distributed systems / service-oriented architecture
  • Experience optimizing code for high performance applications
  • Experience with messaging systems (e.g., Kafka, AMPS, QPID)
  • Experience with Python, bash and/or Q/KDB
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