Software Developer - Risk Technology

Reposted 2 Days Ago
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2 Locations
In-Office
Mid level
Financial Services
The Role
Develop and maintain a trading risk platform using C++ on Linux. Collaborate on service-oriented architecture and optimize for performance with a focus on engineering excellence.
Summary Generated by Built In

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

Top Skills

Amps
Bash
C++
Kafka
Linux
Python
Q/Kdb
Qpid
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The Company
HQ: New York, New York
1,267 Employees
Year Founded: 2014

What We Do

Squarepoint Capital is a leading global investment management firm that develops quantitative investment strategies to achieve high quality returns for our clients. We are a data and technology driven firm who specialize in developing automated trading systems that execute across global financial markets.

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