Apply Python, machine learning, and statistical modeling as a Quantitative Analyst at 100 King Street West. Analyze complex data for business decisions.
This Quantitative Analyst position focuses on advanced analytics, predictive modeling, and computational methods. You will mine structured and unstructured data, develop machine learning algorithms, and create processes for modeling data. The work supports smarter decisions, customer experience, productivity, and innovative data strategies.
Key Responsibilities: Analyze large structured and unstructured datasets for patterns
Develop predictive models and machine learning algorithms
Design processes for modeling and automating data workflows
Create visualizations, reports, and interactive dashboards
Provide recommendations supporting business leaders and stakeholders
Requirements: Master’s degree or PhD in a quantitative discipline
Proficiency in Python or comparable analytical programming languages
Knowledge of Bayesian statistics, financial engineering, and quantitative risk
Typically one to three years of relevant experience
Robust analytical, problem-solving, communication, and collaboration skills
Use quantitative analysis, Python, and machine learning to develop data solutions and recommendations for BMO business stakeholders.