Manager, Quantitative Analysis, Strategy, and Insights

Address:

Top skills/education the hiring team is looking for:

- Model development validation and implementation experience

- Strong business acumen and ability to understand behaviour drivers

- Masters degree or higher in a quantitative field such as Statistics Mathematics Data Science etc.

- SQL Python R SAS SPSS XGBoost H2O SparkML

This role has a hybrid mandate of being in the 100 King St W Toronto ON office 3-4x per week.

Applies knowledge of advanced analytic algorithms and technologies (e.g. machine learning deep learning artificial intelligence) to deliver better predictions and/or intelligent automation that enables smarter business decisions improved customer experience and drives productivity. Applies strong communication and story-telling skills to summarize statistical/algorithmic findings draw business conclusions and present actionable insight in a way that resonates with business/groups. Drives innovation through the development of Data & AI products that can be leveraged across the organization and establishes best practices in in alignment with Data & AI governance frameworks of BMO.

• Develops analytical solutions and makes recommendations based on an understanding of the business strategy and stakeholder needs.
• Provides advice and guidance to assigned business/group on implementation of analytical solutions.
• Works with stakeholders to identify the business requirements understand distinct problems and expected outcomes and models and frames business scenarios which impact critical business processes and/or decisions.
• Works with various data owners to discover and select available data from internal sources and external vendors (e.g. lending system payment system external credit rating system and alternative data) to fulfill analytical needs.
• Applies scripting / programming skills to assemble various types of source data (unstructured semi-structured and structured) into well-prepared datasets with multiple levels of granularities (e.g. demographics customers products transactions).
• Develops agreed analytical solution by applying suitable statistical & machine learning techniques (e.g. A/B testing prototype solutions mathematical models algorithms machine learning deep learning artificial intelligence) to test verify refine hypotheses.
• Summarizes statistical findings and draws conclusions presents actionable business recommendations. Presents findings & recommendations in a simple clear way to drive action.
• Documents data flow systems and processes in data collection to improve efficiency and apply use cases.
• Performs experimental design approaches to validate finding or test hypotheses.
• Uses the appropriate algorithms to discover patterns.
• Builds effective relationships with internal/external stakeholders and ensures alignment.
• Supports development of tools and delivers training for data analytics and AI.
• Supports development and execution of strategic initiatives in collaboration with internal and external stakeholders.
• Leads/participates in the design implementation and management of core business/group processes.
• Focus is primarily on business/group within BMO; may have broader enterprise-wide focus.
• Exercises judgment to identify diagnose and solve problems within given rules.
• Works independently on a range of complex tasks which may include unique situations.
• Broader work or accountabilities may be assigned as needed.
  Qualifications:
  • Typically between 4 - 6 years of relevant experience and Masters degree (or higher) in a quantitative field such as Statistics Mathematics Data Science Computer Science Economics or a related discipline.
  • Proven experience in developing validating and implementing predictive or statistical models in a business context.
  • Strong business acumen; ability to go beyond technical modeling and interpret what the model means for the business.
  • Experience in statistical analysis data mining and data cleansing / transformation.
  • Experience with programming languages (e.g. SQL Python R SAS SPSS Perl) and machine learning /deep learning algorithms/packages (e.g. XGBoost H2O SparkML).
  • Knowledge of visualization techniques and concepts (e.g Power BI SpotFire).
  • Knowledge of distributed computing and/or distributed databases.
  • Experience with distributed computing language (e.g. Hive / Hadoop/ Spark) & cloud technologies (e.g. AWS Sagemaker AzureML).
  • Technical proficiency gained through education and/or business experience.
  • Verbal & written communication skills - In-depth.
  • Collaboration & team skills - In-depth.
  • Analytical and problem solving skills - In-depth.
  • Influence skills - In-depth.
  • Data driven decision making - In-depth.

The above represents BMO Financial Groups pay range and type.

Salaries will vary based on factors such as location skills experience education and qualifications for the role and may include a commission structure. Salaries for part-time roles will be pro-rated based on number of hours regularly worked. For commission roles the salary listed above represents BMO Financial Groups expected target for the first year in this position.

BMO Financial Groups total compensation package will vary based on the pay type of the position and may include performance-based incentives discretionary bonuses as well as other perks and rewards. BMO also offers health insurance tuition reimbursement accident and life insurance and retirement savings plans. To view more details of our benefits please visit: Us

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. Well 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 well help you gain valuable experience and broaden your skillset.

To find out more visit us at is committed to an inclusive equitable and accessible workplace. By learning from each others 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.

Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO directly or indirectly will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid written and fully executed agency agreement contract for service to submit resumes.