Firm: Canadian Investment Bank
Role: Associate Equity E-Trading Quant
Location: Toronto, Canada
Compensation range: $200K-$250K total compensation
Programming skills required: Java, Python, VBA
Summary:
A Tier 1 Canadian Investment Bank in Toronto is looking to hire an algo quant to grow their Equities Electronic Trading group. This individual will be working directly with the Head of the E-Trading business and sit alongside the sales and trading teams, expected to contribute to algorithm development, model development, signal research, data analysis, and trading strategy development for the Equities etrading business.
The candidate will be responsible for market structure research, security master concepts, ETL data pipelines, and need to maintain both a quant and qualitative skill set to understand market mechanisms, order types, and innovations to improve execution quality.
Key Responsibilities:
Develop and optimize quantitative models and algorithms to enhance electronic equity trading strategies, including low-latency routing and volume forecasting.
Collect, clean, and manage large and complex datasets from diverse sources, ensuring data quality and integrity for research and modeling purposes.
Conduct thorough research to improve trading execution strategies, including VWAP algos, and to generate signals for volume forecasting
Perform extensive backtesting and simulation of trading strategies to assess their robustness, performance, and risk characteristics.
Work closely with Quant, Sales, Trading and other Global Markets teams to collaborate on extensive research and development projects
Qualifications:
Degree within a Quantitative Field (e.g., Computer Science, Mathematics, Statistics, Finance, Physics). Master's Degree preferred.
1 - 3 years of experience in Quantitative Developer, Researcher, or Analyst seat supporting an electronic or algorithmic trading desk. Knowledge or experience within Equities is preferred but not required
Proficiency in programming languages such as Java and Python. Strong knowledge of Object-Oriented Programming languages is required.
Exceptional analytical and problem-solving skills with the ability to interpret complex data and develop actionable insights. Knowledge of statistical modeling, machine learning, and data analysis techniques is a plus.
Excellent written and verbal communication skills, with the ability to present complex information in a clear and concise manner.
Key Responsibilities:
Develop and optimize quantitative models and algorithms to enhance electronic equity trading strategies, including low-latency routing and volume forecasting.
Collect, clean, and manage large and complex datasets from diverse sources, ensuring data quality and integrity for research and modeling purposes.
Conduct thorough research to improve trading execution strategies, including VWAP algos, and to generate signals for volume forecasting
Perform extensive backtesting and simulation of trading strategies to assess their robustness, performance, and risk characteristics.
Work closely with Quant, Sales, Trading and other Global Markets teams to collaborate on extensive research and development projects
Qualifications:
Degree within a Quantitative Field (e.g., Computer Science, Mathematics, Statistics, Finance, Physics). Master's Degree preferred.
1 - 3 years of experience in Quantitative Developer, Researcher, or Analyst seat supporting an electronic or algorithmic trading desk. Knowledge or experience within Equities is preferred but not required
Proficiency in programming languages such as Java and Python. Strong knowledge of Object-Oriented Programming languages is required.
Exceptional analytical and problem-solving skills with the ability to interpret complex data and develop actionable insights. Knowledge of statistical modeling, machine learning, and data analysis techniques is a plus.
Excellent written and verbal communication skills, with the ability to present complex information in a clear and concise manner.
