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About the Role

This role focuses on leveraging advanced analytical algorithms and technologies like machine learning and deep learning to mine and analyze large datasets. The goal is to extract insights, design new data modeling processes, develop predictive models, and utilize big data technology to deliver smarter business decisions, improve customer experience, and drive productivity. The position involves collaborating with other data professionals to optimize and scale analysis into mature analytics solutions, playing an active role in data strategy, and assessing the feasibility of AI/ML solutions.

Responsibilities

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.
Uses data mining and extracting usable data from valuable data sources to assess feasibility of AI/ML solutions for improved processing and usage of organization data.
Conducts large-scale analysis of information to discover patterns and trends by combining different modules and algorithms.
Uses analysis to provide recommendations and advice for business leaders to maintain to maintain market competitiveness.
Develops prediction systems and machine learning algorithms.
Investigates additional technologies and tools for developing innovative data solutions for business stakeholders.
Collaborate together with the product team and partners to understand and provide data-driven decision making, business planning and future roadmap.
Exercises judgment to identify, diagnose, and solve problems within given rules.
Works independently on a range of complex tasks, which may include unique situations.
Take measured risks while protecting the bank by applying our Risk Management Framework in the execution of your role, in line with our Risk Culture and within our approved Risk Appetite, making sound and risk informed decisions that align to business strategy, protect assets, and adhere to applicable policy documents (Frameworks, Policies, Standards, Procedures and Supporting documents), laws and regulations.

Requirements

Currently pursuing or recently completed a Master's degree or PhD in Quantitative Finance, Financial Engineering, Statistics, Mathematics, Computer Science, Data Science, Economics, or a related quantitative discipline.
Strong academic foundation in quantitative analysis, statistical modeling, and computational methods.
Proficiency in Python or other programming languages used for quantitative analysis and data science.
Experience developing and leveraging APIs to extract, integrate, and automate data workflows.
Knowledge of quantitative modeling, process automation, and machine learning techniques.
Experience creating data visualizations, reports, and interactive dashboards to support decision-making.
Understanding of Bayesian statistics and their application to real-world analytical problems.
Knowledge of financial engineering, quantitative risk analysis, or related financial modeling concepts.
Ability to work with large and complex datasets to generate meaningful insights and recommendations.
Strong analytical, problem-solving, and communication skills.
Experience applying machine learning or statistical techniques within a financial services environment.
Exposure to cloud-based analytics platforms, data engineering tools, or advanced quantitative research methods.
Demonstrated interest in quantitative finance, financial markets, and data-driven decision making.
Typically between 1-3 years of relevant experience and post-secondary degree in related field of study or an equivalent combination of education and experience.
Technical proficiency gained through education and/or business experience.

Skills

Deep learning
Machine learning
Trust, bias and ethics
Creative thinking
Critical thinking
Mathematics, statistics & operations research
Big data
Data visualization
Computational thinking and programming
Data wrangling
Data preprocessing
Complex problem solving
Analytical acumen
Creative reasoning
Verbal & written communication skills
Collaboration & team skills
Analytical and problem solving skills
Influence skills
Data driven decision making

Location

100 King Street West

Work Type

Salaried

Experience Level

1-3 years of relevant experience

Education Level

Master's degree or PhD
Post-secondary degree in related field of study

Salary/Compensations

$65,000.00 - $140,000.00

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.