Manager, Risk Data Analytics

BMO•Toronto, ON

1d•CA$82,800 - CA$154,800•Onsite

About The Position

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.

Requirements

Typically 5–7+ years of experience in data analytics, data science, or risk analytics.
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)
Data wrangling, preprocessing, and ETL processes
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

Nice To Haves

Experience in financial services, risk analytics, or regulatory reporting is highly preferred.
Big data technologies and scalable data platforms
AI driven skills and predictive analytics
Data quality methodology and governance frameworks
Experience with risk data and model monitoring platforms

Responsibilities

Translate business requirements into technical analytics solutions and scalable data processes.
Deliver insights and recommendations to support risk monitoring, portfolio analysis, and business strategy.
Lead data quality initiatives including rule definition, monitoring, issue identification, and remediation.
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.