Quant Developer
High Performance Software Engineering
Confirmed live in the last 24 hours
Squarepoint Capital

501-1,000 employees

Global investment manager using technology for automated trading
Company Overview
Squarepoint Capital stands out as a top-tier global investment manager due to its scientific approach and advanced technology, which enables the construction of diversified portfolios with systematic and quantitative strategies. The firm's specialization in developing automated trading systems that operate across global financial markets provides a competitive edge, ensuring efficient and effective trading. Their commitment to achieving high-quality returns for clients further underscores their industry leadership and dedication to client success.
Financial Services
Data & Analytics

Company Stage

N/A

Total Funding

N/A

Founded

2014

Headquarters

New York, New York

Growth & Insights
Headcount

6 month growth

0%

1 year growth

3%

2 year growth

5%
Locations
London, UK • New York, NY, USA
Experience Level
Entry
Junior
Mid
Senior
Expert
Desired Skills
Python
Software Testing
Git
JIRA
Linux/Unix
CategoriesNew
QA & Testing
Software Engineering
Quantitative Finance
Requirements
  • Degree in Engineering, Computer Science or related subject; Masters 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
  • 2+ years experience working in trading floor environment, implementing fully automated trading strategies (execution or prop trading
  • Ability to debug complex issues under Linux (memory corruption & leaks, buffer overflows, etc)
Responsibilities
  • Help research and implement strategies & signals logics, backtesting and simulation, libraries, and processing frameworks
  • Develop tooling to analyze large data sets using advanced statistical methods to identify trading opportunities and to monitor impact of changes over time
  • Develop detailed understanding of the principals of markets operation and structure to effectively utilize domain knowledge in software design and development
  • Long-term design improvement and maximization of code reuse
  • Assist quantitative researchers with technical aspects of trading strategies and signals, as well as other R&D work
  • Contribute to strategic design and roadmap for high performance trading infrastructure
  • Production support, primarily in L2 capacity; L1 support when working on specific strategy roll-out projects
  • Work closely with other teams (feed handlers, order gateways, reference data) driving cross-team initiatives, including comprehensive latency monitoring, new markets and products rollouts, and others
Desired Qualifications
  • Modern OO design and software engineering paradigms, especially rapid prototyping and fast iterative release cycle (RAD)
  • Experience working on a global team
  • Python, Q/kdb+
  • Testing methodologies (unit tests, regression tests)
  • Dev workflow – SVN, GIT, JIRA, Code Reviews, etc
  • Grid & cluster tools (especially SLURM)