Capital Markets Data Cognition Scientist
Job Description & How to Apply Below
Be a key player at BMO Capital Markets as a Data Cognition Scientist, focusing on machine learning to support strategic trading operations. This is a unique opportunity in the financial sector.
The Data Cognition Team seeks an innovative Data Scientist to develop analytics and machine learning applications for investment and trading initiatives. You will be integral in identifying data-driven opportunities to improve performance across asset trading, enhancing overall profitability.
Your role necessitates collaboration with diverse business teams, emphasizing clear communication of technical insights.
Key Responsibilities:
• Design machine learning models to enhance algorithmic trading
• Conduct experiments using time series analysis techniques
• Collaborate with stakeholders for data insights and strategy enhancement
• Create and maintain machine learning production pipelines
• Present findings effectively to senior management
Requirements:
• PhD in a quantitative discipline with 3+ years in data science
• Strong skills in time series analysis and statistical modeling
• Proficient in programming, preferably Python
• Experience with cloud technologies and financial tools
• Excellent communication skills to convey complex concepts
Harness the power of data analytics to drive strategic transformation at BMO Capital Markets.
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