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High Performance Trading Software Engineer
1 month ago
Company Overview
Squarepoint Capital is a global investment management firm that utilizes a diversified portfolio of systematic and quantitative strategies across financial markets to achieve high-quality, uncorrelated returns for its clients.
We have deep expertise in trading, technology, and operations, which enables us to design and build cutting-edge systems from high-performance trading platforms to large-scale data analysis and compute farms.
With main investment offices in New York, London, and Singapore, we emphasize true, global collaboration by aligning our investment, technology, and operations teams functionally around the world.
Job Description
We are seeking an experienced Quantitative Trading Systems Developer to join our team. As a Quantitative Trading Systems Developer, you will be responsible for developing and maintaining high-performance trading systems, collaborating with quant researchers and traders to implement trading strategies, and working closely with technology teams to integrate new technologies into our infrastructure.
Responsibilities:
- Design and develop high-performance trading systems using C++ and other programming languages
- Collaborate with quant researchers and traders to implement trading strategies and research projects
- Work closely with technology teams to integrate new technologies into our infrastructure
- Provide production support for our trading systems, primarily in L2 capacity; L1 support when working on specific strategy roll-out projects
- Drive cross-team initiatives, including comprehensive latency monitoring, new markets and products rollouts, and others
Required Qualifications:
- Degree in Engineering, Computer Science, or related subject; Master's or higher a plus
- 3+ years strong programming experience under Linux, at least 1 year in C++
- 2+ years' experience working on high-performance mission-critical systems
- A team player with good communication skills and a preference for compromise
- Ability to balance tactical work with pursuing long-term strategic objectives
- 2+ years experience working in a trading floor environment, implementing fully automated trading strategies (execution or prop trading)
- Experience in effective collaboration with quant researchers and traders, responsible for trading model design and operation; proven ability to convert abstract requirements into concrete trading implementations and algorithms troubleshoot trading algorithm and systems issues across large complex distributed systems
- Ability to debug complex issues under Linux (memory corruption & leaks, buffer overflows, etc)
- Familiarity with basics of listed capital markets and market microstructure (esp. equities and futures); advanced understanding a strong plus
- Basic statistics; advanced quantitative skills a plus, but not required
- GUI programming experience a plus
- Must be able to work well under pressure and tight deadlines
- Effective and professional communicator
Estimated Salary Range: $150,000 - $200,000 per annum
Location: New York, London, or Singapore
