Full-Time

Quant Developer

Confirmed live in the last 24 hours

Squarepoint Capital

Squarepoint Capital

501-1,000 employees

Global investment manager specializing in quantitative strategies

Quantitative Finance
Financial Services

Entry, Junior, Mid

Montreal, QC, Canada + 1 more

More locations: London, UK

Category
Quantitative Analysis
Quantitative Research
Quantitative Finance
Required Skills
Python
Git
C/C++
Linux/Unix
Data Analysis
Requirements
  • Degree in Applied Math, Physics, Engineering, Quantitative Finance, Computer Science or other quantitative disciplines
  • Up to 4 years of experience in a relevant role such as software or quant development
  • Proficiency in at least one of Python, C++, or KDB+/q
  • Strong interest in, or knowledge of finance and the global markets
  • Experience working with git and Linux
  • Excellent written and verbal communication skills
  • Eagerness to continuously learn new technologies and develop with us
  • Ability to work well in a fast-paced environment
Responsibilities
  • Work side-by-side with Quant Researchers and Traders to implement novel trading strategies and software for research projects
  • Develop tools to apply advanced statistical methods in order to identify new trading opportunities and to monitor their impact over time
  • Develop improvements to trading strategies through the running and thorough analysis of backtesting simulations across vast amounts of proprietary data
  • Drive cross-team initiatives at Squarepoint
  • Gain an excellent chance to learn from some of the world's most knowledgeable industry experts as you work towards continued innovation in the quant research space

Squarepoint Capital specializes in managing investments using quantitative and systematic strategies. The firm builds diversified portfolios that span various asset classes and trading frequencies across global markets. By leveraging advanced technology and a comprehensive data platform, Squarepoint Capital makes informed investment decisions based on thorough research, aiming to deliver strong returns for its clients. Unlike many competitors, Squarepoint Capital focuses on systematic trading and data-driven approaches, which allows for a more structured investment process. The company's goal is to provide high-quality returns to a diverse range of institutional investors, including pension funds and sovereign wealth funds, while fostering a collaborative work environment that promotes continuous learning and professional development.

Company Stage

N/A

Total Funding

$1.1B

Headquarters

London, United Kingdom

Founded

2014

Simplify Jobs

Simplify's Take

What believers are saying

  • Squarepoint's diverse portfolio reduces risk and increases potential for high returns across various sectors.
  • The firm's commitment to quantitative research and data-driven strategies can lead to more informed and potentially profitable investment decisions.
  • Hiring experienced professionals from other hedge funds can bring fresh perspectives and innovative strategies to the firm.

What critics are saying

  • The broad investment approach may spread resources too thin, potentially impacting the depth of analysis and performance.
  • Relying heavily on quantitative research could lead to significant losses if the models fail to predict market movements accurately.

What makes Squarepoint Capital unique

  • Squarepoint Capital's strategy of acquiring stakes in a diverse range of companies, from tech to healthcare, showcases its broad investment approach.
  • The firm's focus on quantitative research and hiring talent from other hedge funds, like Romain Colas from Ovata Capital, highlights its commitment to data-driven investment strategies.
  • Squarepoint's ability to identify and invest in emerging companies, such as Cipher Mining and aTyr Pharma, sets it apart from more conservative investment firms.

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