Senior Manager, Machine Learning at BMO | CA | Rezi

Senior Manager, Machine Learning at BMO

Senior Manager, Machine Learning

BMO · CA

Today

Senior Manager, Machine Learning

BMO · CA

10 hours ago
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About the Role

This role leverages advanced analytical algorithms and technologies like machine learning, deep learning, and artificial intelligence to analyze large datasets, design data modeling processes, and develop predictive models. The goal is to drive smarter business decisions, enhance customer experience, and boost productivity by transforming data into actionable insights and mature analytics solutions.

Responsibilities

  • Designs and constructs new processes for modeling data.
  • Develops predictive models and leverages big data technology to design solutions.
  • Collaborates with data and analytics professionals to optimize and scale analysis.
  • Plays an active role in the futuristic display of data and advancement of innovative data strategies.
  • Uses data mining to assess the feasibility of AI/ML solutions.
  • Conducts large-scale analysis to discover patterns and trends.
  • Provides recommendations to business leaders for market competitiveness.
  • Develops prediction systems and machine learning algorithms.
  • Investigates additional technologies and tools for developing innovative data solutions.
  • Collaborates with the product team and partners to provide data-driven decision making.
  • Operates at a group/enterprise-wide level and serves as a specialist resource.
  • Applies expertise and thinks creatively to address unique or ambiguous situations.
  • Implements changes in response to shifting trends.
  • Takes measured risks while protecting the bank by applying the Risk Management Framework.

Requirements

  • Typically 7+ years of relevant experience and/or certification in a related field of study or an equivalent combination of education and experience.
  • Seasoned professional with a combination of education, experience and industry knowledge.

Skills

  • Mathematics
  • Statistics
  • Operations research
  • Deep learning
  • Machine learning
  • Trust, bias and ethics
  • Creative thinking
  • Critical thinking
  • Big data
  • Data visualization
  • Computational thinking and programming
  • Data wrangling
  • Data preprocessing
  • Creative reasoning
  • Verbal & written communication skills
  • Analytical and problem solving skills
  • Influence skills
  • Collaboration & team skills; with a focus on cross-group collaboration
  • Able to manage ambiguity
  • Data driven decision making

Location

  • 33 Dundas Street West
  • Toronto

Work Type

  • Hybrid

Experience Level

  • 7+ years

Salary/Compensations

  • $105,000.00 - $215,000.00

Benefits

  • Health insurance
  • Tuition reimbursement
  • Accident and life insurance
  • Retirement savings plans

About the Company

  • At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.
  • As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact.
  • We strive to help you make an impact from day one – for yourself and our customers.
  • We’ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs.
  • From in-depth training and coaching, to manager support and network-building opportunities, we’ll help you gain valuable experience, and broaden your skillset.
  • To find out more visit us at https://jobs.bmo.com/ca/en.

Equal Opportunity

  • BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other’s differences, we gain strength through our people and our perspectives.
  • Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.