Full-Time

Junior Quant Developer

Updated on 5/12/2026

Squarepoint Capital

Squarepoint Capital

501-1,000 employees

Manages quant-driven, systematic portfolios globally

No salary listed

Montreal, QC, Canada + 1 more

More locations: London, UK

In Person

Category
Quantitative Finance (1)
Required Skills
Python
Git
C/C++
Linux/Unix
Requirements
  • Degree in Applied Mathematics, 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
  • Implement novel trading strategies and software for research projects in collaboration with Quant Researchers and Traders
  • 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 running and thorough analysis of backtesting simulations across vast amounts of proprietary data
  • Drive cross-team initiatives at Squarepoint
  • Provide learning opportunities by working with industry experts as you contribute to continued innovation in the quant research space
Desired Qualifications
  • Master's degree or higher with emphasis in a highly quantitative discipline
  • Deep knowledge of financial markets in at least one domain or asset class
  • Experience with database management systems and related technologies such as SQL
  • Experience working with financial data in a similar role

Squarepoint Capital is a global investment manager that uses quantitative and systematic strategies to build diversified portfolios across asset classes, trading frequencies, and markets for institutional investors. Its approach rests on a data-driven platform and advanced technology that power research and model-driven trading decisions, updating portfolios as market data changes. Unlike many peers, it combines multi-asset and multi-frequency strategies with a worldwide footprint (thirteen cities) and a team led by four founding partners, supported by a collaborative culture focused on rigorous research and disciplined execution. The firm aims to deliver attractive, risk-aware returns for pension funds, endowments, and sovereign wealth funds through systematic investment processes and structured portfolio construction.

Company Size

501-1,000

Company Stage

N/A

Total Funding

$1.2B

Headquarters

London, United Kingdom

Founded

2014

Simplify Jobs

Simplify's Take

What believers are saying

  • Squarepoint's AUM surged to $182 billion by November 2025.
  • Squarepoint grew market value to $96.2 billion with 30% turnover by June 2025.
  • Squarepoint's fee base funds infrastructure across thirteen global offices.

What critics are saying

  • Two Sigma's neural nets capture 20% higher Sharpe ratios in stat arb.
  • Citadel's netting across 10,000 positions cuts costs 40% more.
  • Jane Street undercuts Squarepoint's arb by 15-25bps daily using options data.

What makes Squarepoint Capital unique

  • Squarepoint executes millions of daily automated trades across equities, options, futures, and FX.
  • Squarepoint nets 4,000+ positions internally to slash transaction costs.
  • Squarepoint applies Fama-French five-factor and Barra models for risk management.

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Benefits

Health Insurance

Paid Vacation

Professional Development Budget

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