Senior Manager, Research and Data, Toronto

This 12‑month hybrid contract position is based in Toronto.

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.

Responsibilities

Play an active role in the futuristic display of data and advancement of innovative data strategies to understand consumer trends and address business problems.

Use data mining and extraction of usable data from valuable data sources to assess the feasibility of AI/ML solutions for improved processing and usage of organization data.

Conduct large‑scale analysis of information to discover patterns and trends by combining different modules and algorithms.

Use analysis to provide recommendations and advice for business leaders to maintain market competitiveness.

Develop prediction systems and machine learning algorithms. Investigate additional technologies and tools for developing innovative data solutions for business stakeholders.

Collaborate with the product team and partners to understand and provide data‑driven decision making, business planning and future roadmap.

Operate at a group/enterprise‑wide level and serve as a specialist resource to senior leaders and stakeholders.

Apply expertise and think creatively to address unique or ambiguous situations and find solutions to complex, non‑routine problems.

Implement changes in response to shifting trends.

Take measured risks while protecting the bank by applying our Risk Management Framework, risk culture and approved risk appetite, making sound, risk‑informed decisions that align to business strategy and adhere to applicable policy documents (frameworks, policies, standards, procedures and supporting documents), laws and regulations.

Broader work or accountabilities may be assigned as needed.

Qualifications

Typically 7+ years of relevant experience and/or certification in related field of study or an equivalent combination of education and experience.

Strong programming skills in Python and SAS.

Proficiency in both SQL and Big Data technologies (Hadoop, Spark).

Experience working in a cloud‑based modeling environment (e.g. AWS SageMaker, AzureML).

Experience in automation and scheduling of data pipelines for end‑to‑end scoring solutions.

Experience developing customer discretionary pricing optimization models is an asset.

Compensation and Benefits Salary range: $103,200.00– $192,000.00. The position is salaried. BMO offers health insurance, tuition reimbursement, accident and life insurance, and retirement savings plans.

EEO Statement 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.

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