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Senior Researcher in Portfolio Optimization
Job Description & How to Apply Below
This senior role focuses on refining portfolio construction techniques while effectively managing risks through comprehensive quantitative research. You'll collaborate with cross-functional teams to develop strategies that align with investment goals. Your ability to implement scalable and accurate research models will significantly contribute to BMO’s commitment to excellence in investment services.
Key Responsibilities:
• Lead the development of advanced portfolio optimization frameworks
• Analyze risks to improve investment decision consistency
• Design rigorous backtesting methodologies for optimizer calibration
• Establish a factor risk management system for portfolios
• Mentor and guide junior researchers and analysts
Requirements:
• Proven background in quantitative investing and portfolio research
• Expertise in Python and SQL for effective data strategies
• Strong understanding of financial datasets and their applications
• Demonstrated leadership capabilities in collaborative settings
• Graduate degree in a quantitative discipline; CFA is advantageous
Utilize your research expertise to make impactful contributions to BMO's investment strategies and enhance client success.
Position Requirements
10+ Years
work experience
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