Senior Data Science & Risk Analytics Specialist

BMO; Toronto; On-site; CAD 55,000 - 101,000; Full time

Benefits offered by this job

Health insurance

Tuition reimbursement

Life insurance

Retirement savings plans

Job summary

BMO Financial Group is seeking a data analytics professional in Toronto to design and implement advanced ML-driven analytics solutions. You will mine large data sets, build predictive models, and collaborate with product teams to drive data-informed business decisions and improved customer experiences.

The role emphasizes data science, data management, and scalable analytics across the organization, with a focus on adopting innovative data strategies to stay competitive in the market.

Qualifications

• Advanced data science, data management and data analytics skills.
• Must have advanced Machine Learning experience.
• Develops predictive models and leverages big data technology to design solutions.
• Collaborates with data and analytics teams to scale analytics into mature solutions.
• Focus on data-driven decision making and business planning.

Responsibilities

• Uses ML/AI techniques to mine large structured/unstructured data.
• Designs processes for data modeling and predictive analytics.
• Collaborates with product teams to inform roadmaps with data insights.
• Provide recommendations to business leaders to stay competitive.
• Develop and iterate ML models and data solutions.

Skills

Advanced ML

Data analytics

Data management

Machine learning

Analytical skills

Problem solving

Communication skills

Education

Post-secondary degree in related field

Tools

Python

SQL

Big data tools

ML libraries

Job description

BMO Financial Group is seeking a data analytics professional in Toronto to design and implement advanced ML-driven analytics solutions. You will mine large data sets, build predictive models, and collaborate with product teams to drive data-informed business decisions and improved customer experiences.

The role emphasizes data science, data management, and scalable analytics across the organization, with a focus on adopting innovative data strategies to stay competitive in the market.