Senior Analyst, Data Sciences

BMO

Toronto, Canada
Base: $67,200.00 - $124,200.00; bonus/equity: not ...
Quantitative models and analytics suites
Econometric and machine learning techniques
Asset liability, liquidity, and interest rate risk management
Develops, enhances, implements, and maintains quantitative models and analytics suites using econometric and machine learning techniques for risk management, customer analytics, and stress testing

Job Summary

  • Develops, enhances, implements, and maintains quantitative models and analytics suites using econometric and machine learning techniques for risk management, customer analytics, and stress testing.
  • Applies advanced analytic algorithms and modeling techniques to deliver predictions and automation, enabling smarter business decisions and improved customer experience.
  • Summarizes statistical findings, draws conclusions, and presents actionable business recommendations in a clear and concise manner to drive action.

Matching Summary

Develops, enhances, implements, and maintains quantitative models and analytics suites using econometric and machine learning techniques for risk management, customer analytics, and stress testing.

Salary

Base: $67,200.00 - $124,200.00; Bonus/Equity: Not specified; Benefits: health insurance, tuition reimbursement, accident and life insurance, retirement savings plans

Skills & Requirements

Must-have

  • quantitative models and analytics suites
  • econometric and machine learning techniques
  • asset liability, liquidity, and interest rate risk management
  • customer analytics, profitability, and stress testing
  • large data processing, statistical modeling, machine learning
  • scripting / programming skills
  • statistical & machine learning techniques

Nice-to-have

  • story-telling skills
  • drive innovation
  • Data & AI governance frameworks
  • creative thinking
  • critical thinking
  • creative reasoning

Key Requirements

  • 1-2 years of relevant experience
  • graduate-level degree
  • 4 - 6 years of relevant experience
  • post-secondary degree
  • SQL, Python, R, SAS, SPSS, Matlab
  • XGBoost, H2O, SparkML
  • AWS Sagemaker, AzureML

Work Rights

Not specified

Tailored Resume

Cover Letter