Application Deadline:
Address:
100 King Street WestJob Family Group:
The Manager, Data Analytics is responsible for leading the development and delivery of advanced analytics, data quality, and reporting solutions to support risk management and regulatory requirements. The role leverages large-scale data, advanced analytics, and emerging technologies to generate actionable insights, improve data quality, and enable consistent, data-driven decision-making across the organization.
The incumbent will manage a team of analytics professionals, deliver scalable analytics solutions, and ensure alignment with enterprise data governance standards and regulatory expectations.
Translate business requirements into technical analytics solutions and scalable data processes.
- Deliver insights and recommendations to support risk monitoring, portfolio analysis, and business strategy.
- Ensure adherence to enterprise data governance frameworks and support regulatory requirements (e.g., model monitoring, reporting accuracy).
- Work closely with data providers and stakeholders to resolve data issues and improve data integrity.
- Partner with business, product, and risk teams to support data-driven decision-making and planning.
- Communicate complex analytical findings clearly to senior stakeholders through reporting and visualization.
- Provide consulting support on analytics, reporting, and data quality challenges.
- Lead and coach a team of data analysts and data scientists to deliver high-quality outcomes.
- Set clear objectives, monitor performance, and support career development.
- Foster a collaborative, high-performance culture aligned with BMO values and inclusion principles.
- Identify opportunities to enhance analytics capabilities, automation, and efficiency.
- Evaluate and adopt new tools, technologies, and methodologies to improve analytics and data processing.
- Drive the transition from ad hoc analysis to scalable, production-ready analytics solutions.
- Typically 5–7+ years of experience in data analytics, data science, or risk analytics.
- Experience in financial services, risk analytics, or regulatory reporting is highly preferred.
- Post-secondary degree in a quantitative discipline (e.g., Statistics, Mathematics, Computer Science).
- Strong analytical and problem-solving capabilities
- Data-driven decision making and business insight generation
- Data visualization (e.g., Power BI)
- Programming (e.g., Python, SQL)
- SAS only nice to have for legacy purposes not mandatory
- Data wrangling, preprocessing, and ETL processes
- Big data technologies and scalable data platforms
- AI driven skills and predictive analytics (nice to have)
- Data quality methodology and governance frameworks
- Experience with risk data and model monitoring platforms
- Strong communication and stakeholder management skills
- Ability to influence decisions using data and insights
- Proven experience managing and developing teams
- Ability to operate independently and manage complex, non-routine work
- Primary focus on business/group-level analytics delivery, with potential enterprise-wide impact.
- Provides specialized technical and analytical support to drive business and regulatory outcomes.
Salary:
Pay Type:
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.
Skills Required
- 5-7+ years experience in data analytics, data science, or risk analytics
- Experience in financial services, risk analytics, or regulatory reporting
- Post-secondary degree in a quantitative discipline (Statistics, Mathematics, Computer Science)
- Data visualization skills (Power BI)
- Programming experience with Python and SQL
- Data wrangling, preprocessing, and ETL processes
- Experience leading data quality initiatives and adhering to data governance frameworks
- Proven experience managing and developing analytics teams
- Strong communication and stakeholder management skills
- Familiarity with model monitoring platforms and risk data platforms
- SAS (legacy systems)
- Big data technologies and scalable data platforms
- AI-driven skills and predictive analytics
BMO Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about BMO and has not been reviewed or approved by BMO.
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Parental & Family Support — Paid parental leave up to 16 weeks at full pay for all new parents, plus up to $20,000 for adoption, surrogacy, and fertility, and 10 days of paid backup childcare indicate robust family support. These elements stand out within BMO’s U.S. package.
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Retirement Support — A 401(k) design combining a core employer contribution with dollar-for-dollar matching up to a set portion of pay, plus immediate vesting on match and employee contributions, signals strong retirement funding. The core contribution’s three-year vesting is clearly defined.
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Leave & Time Off Breadth — Vacation accrual scales with grade and service, alongside 9–10 paid holidays and additional paid time off buckets (bereavement, school activities, civic duties, blood donation, volunteering). This breadth offers multiple avenues for time away beyond standard vacation.
BMO Insights
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.
