Quantitative Research Analyst

Waterfront International Ltd; Toronto; On-site; CAD 80,000 - 120,000; Full time

Job summary

Dormont Manufacturing Co in Toronto is seeking talented individuals to work in a dynamic environment focused on quantitative trading. The role involves developing and implementing trading models, conducting statistical analysis, and generating trading indicators.

Candidates must have a PhD or Master's degree in Mathematics, Statistics, Physics, or Operations Research, along with expert programming skills in C/C++. Strong problem-solving abilities and experience in statistical modeling are essential.

Qualifications

• PhD or Masters degree in relevant field.
• Expert level C/C++ programming skills.
• Strong problem solving and analytical skills.
• Experience with time series analysis and statistical modeling.

Responsibilities

• Develop and implement real-time quantitative trading models and strategies.
• Perform statistical analysis on financial market data.
• Research strategies across various asset classes.
• Generate new indicator ideas.

Skills

Expert level C/C++ programming skills

Problem solving skills

Analytical skills

Time series analysis

Statistical modeling

Education

PhD or Masters in Mathematics, Statistics, Physics or Operations Research

Job description

We are currently looking for highly talented individuals with a history of exceptional academic and/or industry achievement who are interested in working in a fast paced, stimulating and dynamic environment.

Primary Responsibilities

• Develop, modify, optimize, test and implement real time quantitative trading models and strategies.
• Perform statistical analysis of historical and current financial market data.
• Research strategies in equities, futures, fixed income, and other asset classes.
• Generate new indicator ideas.

Requirements

• PhD or Masters in Mathematics, Statistics, Physics or Operations Research.
• Must possess expert level C/C++ programming skills.
• Incredibly strong problem solving and analytical skills.
• Time series analysis and statistical modeling experience.
• Some financial experience desired but not required.
• Must be a strong self-starter and able to work well independently.