Position: Investment Intern (Co-op)
Department: Investment
Location: Hybrid – GTA, Ontario, Canada
Reports to: Head of Trading
Key Responsibilities:
- Assist in analyzing global financial markets and monitoring real-time trading opportunities across equities, futures, options, and derivatives.
- Support quantitative researchers in backtesting and trading algorithms.
- Conduct deep-dive research on market microstructure dynamics and liquidity patterns.
- Develop automated tools for processing tick-level data using Python/Pandas/NumPy.
- Monitor algorithmic trading performance metrics and risk exposure across portfolios.
- Prepare daily P&L attribution reports and present findings to senior traders.
- Collaborate with software engineers to enhance low-latency execution systems.
Qualifications:
- Currently enrolled in a bachelor’s or master’s program in Finance, Computer Science, Mathematics, or related quantitative discipline.
- Demonstrated knowledge of financial instruments (FX, futures, metals, and commodities) and trading mechanisms.
- Proficiency in programming for statistical analysis (Python/R required; C++/Rust a plus).
- Experience working with time-series databases and market data feeds (e.g., Bloomberg, Reuters).
- Strong grasp of quantitative concepts: stochastic calculus, time series analysis, regression models.
- Passion for algorithmic trading evidenced by personal projects/coursework.
- Ability to thrive in fast-paced environments with millisecond-level decision cycles.
