Junior Technologist
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

2%

2 year growth

4%
Locations
Montreal, QC, Canada • London, UK • New York, NY, USA
Experience Level
Entry
Junior
Mid
Senior
Expert
Desired Skills
Python
Data Structures & Algorithms
Linux/Unix
Data Analysis
CategoriesNew
Quantitative Analysis
Quantitative Trading
Cloud Engineering
FinTech Engineering
Quantitative Finance
Software Engineering
Requirements
  • Degree in Computer Science, Electrical/Computer Engineering, Applied Math, Physics, Quantitative Finance, or Financial Engineering/MFE
  • No more than 2 full years of experience in a relevant role
  • Proficiency in at least one of our core languages: Python, C/C++, or KDB+/q
  • Experience with Linux and modern software development
  • Excellent written and verbal communication skills
  • Eagerness to continuously learn new technologies
  • Ability to work well in a fast-paced, adaptable, and pressured environment
Responsibilities
  • Design and build production grade trading & research software, systems, and infrastructure
  • Select and join one of Squarepoint's technology tracks
  • Partner with stakeholders to gather requirements and feedback
  • Understand and contribute to production systems and infrastructure
  • Take full advantage of learning and development initiatives
  • Work on technical project delivery
  • Support trading applications, execution strategies, low latency trading gateways, and core trading services
  • Collaborate closely with internal traders, external brokers, and various development teams to resolve issues impacting the entire trade lifecycle
  • Support on-prem and cloud trading infrastructure services
  • Design and build efficient and scalable workflows for alpha generation and data-driven analytics
  • Contribute to data-driven applications, pipelines, and systems used to feed predictive models in research and trading
  • Contribute to the design and implementation of trading frameworks, market data solutions, and global market connectivity
  • Contribute to building and maintaining scalable services, full-stack web applications, and data processing algorithms, tools, and frameworks