Quant Developer
Squarepoint Capitalover 1 year ago
Montréal, Canada +2 moreEntry Level / Mid Level
Responsibilities
- Implement novel trading strategies and software for quantitative research projects.
- Develop tools applying advanced statistical methods to identify trading opportunities and monitor their impact over time.
- Improve trading strategies through backtesting simulations and analysis across large proprietary datasets.
- Drive cross-team initiatives supporting innovation in quantitative research.
Requirements
- Bachelor’s degree in Applied Math, Physics, Engineering, Quantitative Finance, Computer Science, or another quantitative discipline.
- Up to four years of relevant software or quant development experience.
- Proficiency in at least one of Python, C++, or KDB+/q.
- Strong interest in or knowledge of finance and global markets.
- Experience with Git and Linux.
- Excellent written and verbal communication skills.
- Master’s degree or higher in a highly quantitative discipline is preferred.
- Deep knowledge of financial markets in at least one domain or asset class is preferred.
- Experience with database management systems, related technologies, and SQL is preferred.
- Experience working with financial data in a similar role is preferred.
About Squarepoint Capital
Squarepoint Capital is a global investment management firm that develops quantitative trading strategies and automated systems for institutional investors. It operates a fee-based asset management model, earning management and performance fees from funds and managed accounts across asset classes and markets. The company is privately held and headquartered in New York, with offices in major financial centers worldwide.