Remote Quantitative Trader - Research & Risk Alpha Builder

Placements24; Kimberley; Hybrid; CAD 120,000 - 180,000; Full time

Benefits offered by this job

Fully remote

Competitive compensation

World-class team

Continuous learning

Job summary

Placements24 is seeking a highly analytical Quantitative Analyst to design, backtest, and deploy trading models in a fully remote setting. You will work with Python/C++, large datasets, and collaborate with researchers to optimize alpha generation and risk management.

The role requires an MS or PhD in a quantitative field, strong coding skills, and a proactive, independent work style suitable for remote collaboration.

Qualifications

• Advanced degree in a quantitative field (MS/PhD).
• Proven experience in quantitative finance, statistical modeling, and algorithm development.
• Strong programming skills in Python, C++, R or similar.
• Deep understanding of financial markets, derivatives, and trading strategies.
• Proficiency in statistical/time-series analysis and ML techniques.

Responsibilities

• Design, develop, backtest, and deploy quantitative trading strategies and models.
• Perform rigorous statistical analysis on market data to identify opportunities.
• Develop and maintain robust risk management frameworks and models.
• Collaborate with portfolio managers and researchers to refine ideas.
• Optimize algorithms for performance, scalability, and efficiency.
• Stay abreast of latest research in quantitative finance and data science.

Skills

Quantitative analysis

Statistical modeling

Machine learning

Python

C++

Data analysis libraries

Education

MS or PhD in Mathematics/Statistics/Finance/Physics/Computer Science

Tools

Python (NumPy/SciPy)

R

C++

Job description

Placements24 is seeking a highly analytical Quantitative Analyst to design, backtest, and deploy trading models in a fully remote setting. You will work with Python/C++, large datasets, and collaborate with researchers to optimize alpha generation and risk management.

The role requires an MS or PhD in a quantitative field, strong coding skills, and a proactive, independent work style suitable for remote collaboration.