Manager, Wealth Reporting Analytics & Automation

Posted 7 Hours Ago
Be an Early Applicant
Toronto, ON
In-Office
69K-129K Annually
Senior level
Financial Services
The Role
Lead development of wealth analytics, reporting, automation, and LRC solutions. Design, validate, and deliver reports and dashboards, integrate and transform data, promote self-serve analytics, manage stakeholders, and ensure compliance and automation across processes.
Summary Generated by Built In

Application Deadline:

03/12/2026

Address:

100 King Street West

Job Family Group:

Data Analytics & Reporting

Mandatory in‑office attendance on designated days of the week, with the possibility of increasing required in‑office days over time.

The Wealth Reporting, Analytics and Automation will develop analytical and reporting solutions in close consultation with business stakeholders and functional partners, that are related to Wealth Analytics, reporting, automation and Legal, Regulatory and Compliance (LRC) requests as well as supporting broader data analytics responsibilities of the team. They will have strong ownership over all deliverables and guide on the configuration, applicability, and usability of data management, data analytics, and data visualization solutions to support these deliverables.

This role will support Wealth Analytics, reporting, automation and Legal, Regulatory and Compliance projects and generally support advanced analytics and data management.

  • Acts as a trusted advisor to assigned business groups.
  • Manages complex or challenging stakeholders through strong influencing and persuasive communication skills, ensuring alignment between business objectives and data needs.
  • Performs wealth analytics, reporting, automation, and transformation activities.
  • Applies LRC (Legal, Regulatory & Compliance) standards to ensure accuracy, timeliness, and clear communication.
  • Leads or participates in the design, implementation, and ongoing management of new analytics and reporting solutions.
  • Breaks down strategic issues and analyzes data to provide subject‑matter insights and actionable recommendations.
  • Structures and organizes data across multiple dimensions and granularities (e.g., demographics, customers, accounts, products, transactions).
  • Cleanses, manipulates, and transforms data through programming or scripting to support model development and validation.
  • Validates and tests analytical and reporting models to ensure performance, compliance, and reliability.
  • Promotes automation/optimization, self‑serve analytics adoption, and a culture of data‑driven decision making.
  • Monitors tool performance, manages UAT activities, and resolves technical or functional issues.
  • Integrates data from multiple sources to streamline processes, enhance analysis, and improve reporting efficiency.
  • Designs and produces recurring and ad‑hoc reports and dashboards.
  • Builds data visualizations and reporting solutions to communicate insights effectively to diverse audiences.
  • Develops tools and delivers training programs to enable non‑analytical users to adopt reporting and self‑serve analytics tools.
  • Documents and maintains procedures and processes related to analytics and reporting.
  • Supports business groups within BMO and, when required, provides insights with broader enterprise scope.
  • Provides specialized consulting, analytical, and technical expertise.
  • Exercises sound judgment to identify, diagnose, and resolve problems within established guidelines.
  • Demonstrates strong ownership and accountability; works independently or collaboratively while handling non‑routine situations.
  • Performs additional responsibilities as assigned.

Qualifications:

  • 7+ years of relevant analytical experience (preferably within FinTech or banking), supported by a post‑secondary degree in a related discipline or an equivalent combination of education and experience.
  • Advanced proficiency in SAS (including SAS Macros) and SQL.
  • Strong expertise in data visualization tools such as Microsoft Power BI and Fabric.
  • In‑depth experience with ETL processes, data preparation, data analysis, optimization, and automation.
  • Familiarity with additional statistical or analytical toolsets—such as Python, R, SPSS—considered an asset.
  • Demonstrated deep technical knowledge and analytical proficiency gained through extensive business experience.
  • Strong, demonstrated stakeholder management capabilities.
  • Excellent verbal and written communication skills.
  • Strong collaboration and teamwork abilities.
  • Advanced analytical thinking and problem‑solving capabilities.
  • Strong influencing and negotiation skills.
  • Highly developed data‑driven decision‑making skills.

Salary:

$69,000.00 - $129,000.00

Pay Type:

Salaried

The above represents BMO Financial Group’s 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 Group’s expected target for the first year in this position.

BMO Financial Group’s 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: https://jobs.bmo.com/global/en/Total-Rewards

About 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. 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.

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.

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.

Top Skills

Sas,Sas Macros,Sql,Microsoft Power Bi,Microsoft Fabric,Etl,Python,R,Spss
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The Company
HQ: Toronto, Ontario
51,885 Employees

What We Do

At BMO, banking is our personal commitment to helping people at every stage of their financial lives.

The truth is, people’s needs change: so we change too. But we never change who we are. Which means we’ll never waiver from providing our customers the best possible banking experience in the industry.

Our incredible team of over 46,000 people is just the tip of the iceberg. You should get to know us. We’re here to help.

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