Senior Data Analyst at BMO analyzing collection trends and optimizing performance through advanced analytics. Collaborating with teams to drive data - driven decision - making in collections strategies.
About the role
- Quantitative Trader/Researcher developing and implementing quantitative models for trading in financial markets. Joining a dynamic team to contribute to innovative trading strategies.
Responsibilities
- Conduct rigorous research to develop quantitative models for trading strategies across various asset classes
- Analyze large datasets to identify patterns, trends, and potential investment opportunities
- Design, backtest, and optimize algorithmic trading models to improve performance and manage risk effectively
- Collaborate with team members to refine trading algorithms based on market conditions and new research findings
- Monitor live trading systems, ensuring models operate efficiently and accurately in real-time environments
- Stay informed on market developments, financial instruments, and emerging quantitative techniques to enhance trading strategies
- Document research processes, model assumptions, and performance metrics for ongoing review and improvement
Requirements
- Proven experience in research within the financial services industry, particularly in investment banking or asset management
- Strong background in finance, with a focus on investment strategies, risk analysis, and quantitative modeling
- Proficiency in advanced mathematics, statistical analysis, and programming languages such as Python, R, or MATLAB
- Familiarity with financial markets, instruments, and trading platforms is highly desirable
- Demonstrated ability to analyze complex data sets and develop innovative solutions for investment challenges
- Prior experience in developing or implementing algorithmic trading systems is a plus
Job title
Job type
Experience level
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Not specified
Degree requirement
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