BMO · 2 weeks ago
Manager, Quantitative Analysis, Strategy, and Insights
BMO is committed to creating lasting, positive change for customers and communities. The Manager of Quantitative Analysis, Strategy, and Insights will leverage advanced analytical algorithms and technologies to analyze large datasets, develop predictive models, and provide data-driven insights to improve business decisions and customer experiences.
BankingCrowdfundingFinanceFinancial Services
Responsibilities
Uses advanced analytical algorithms and technologies (e.g. machine learning, deep learning, artificial intelligence) to mine and analyze large sets of structured and unstructured data to obtain insights
Designs and constructs new processes for modeling data
Develops predictive models and leverages big data technology to design solutions that deliver smarter business decisions, improve customer experience, and drive productivity
Collaborates with other data and analytics professionals and teams to optimize, refine and scale analysis into mature analytics solutions
Plays an active role in the futuristic display of data, and advancement of innovative data strategies to understand consumer trends and address business problems
Collaborates with the product team and partners to understand and provide data-driven decision making, business planning and future roadmap
Collaborates with data scientists and other stakeholders to understand data and modeling needs and develop solutions that meet those needs
Designs, builds, and maintains large-scale data pipelines for reporting, analysis and machine leaning/deep leaning models
Conducts large-scale analysis of information to discover patterns and trends by combining different modules and algorithms
Develops machine learning/deep learning models
Investigates additional technologies and tools for developing innovative data solutions for business stakeholders
Uses analysis to provide recommendations and advice for business leaders to maintain to maintain market competitiveness
Fosters a culture aligned to BMO purpose, values and strategy and role models BMO values and behaviors in all that they do
Ensures alignment between values and behaviors that fosters diversity and inclusion
Regularly connects work to BMO’s purpose, sets inspirational goals, defines clear expected outcomes, and ensures clear accountability for follow through
Qualification
Required
Model development, validation and implementation experience
Strong business acumen and ability to understand behaviour drivers
Master's degree or higher in a quantitative field such as Statistics, Mathematics, Data Science, etc
SQL, Python, R, SPSS, XGBoost, H2O, SparkML
Advanced degree in Data Science, Statistics, Applied Mathematics, Economics, or related quantitative field
3+ years of data science experience
In-depth knowledge in machine learning and deep learning models, such as but not limited to, XGboosting, LSTM and LLM etc
Data visualization and polished communication skills
Self-driven problem solver; able to adapt and thrive in a dynamic, ambiguous, and customer-focused environment
Highly analytical, technically proficient, and able to learn new tools and ML models quickly
Trust, bias and ethics
Collaboration & team skills; with a focus on cross-group collaboration
Able to manage ambiguity
Data driven decision making
Experience with GenAI LLM models
Experience with MLOps, building workflows for model retraining, monitoring and deploying
Experience with ML frameworks such as TensorFlow, PyTorch
Experience with cloud-based data platforms such as AWS or Azure
Experience with data visualization tools such as Power BI
Benefits
Health insurance
Tuition reimbursement
Accident and life insurance
Retirement savings plans
Company
BMO
We’re a bank, but there’s more to it than that. When you join BMO, it opens a world of opportunities.
Funding
Current Stage
Public CompanyTotal Funding
$7.54B2025-10-23Post Ipo Debt· $142.91M
2025-02-26Post Ipo Debt· $871.76M
2024-07-09Post Ipo Debt· $750M
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2026-01-06
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