Senior Manager, Advanced Analytics

CIBC • Toronto, ON

2d • Onsite

About The Position

Global Operational Risk Management (GORM) is responsible for oversight and management of enterprise operational risk, including establishing frameworks, policies, procedures, tools, systems and processes to identify, measure, mitigate, monitor and report operational risk across CIBC. Within GORM, the Advanced Analytics and Solutions Team supports the operational risk program by developing analytics platforms, dashboards, management applications, automation, advanced analytical assessments, statistical models, machine learning models and artificial intelligence solutions. As a Senior Manager, Advanced Analytics, you’ll design, build and support data, dashboard, modelling and artificial intelligence solutions that help GORM improve risk insight, increase productivity, strengthen consistency and support better operational risk decision-making. You’ll work closely with operational risk partners to gather requirements, translate business needs into technical solutions, analyze structured and unstructured operational risk data, and deliver scalable tools that support programs such as Risk and Control Self-Assessments, Change Initiative Risk Assessments, controls, deficiencies, key risk indicators, operational risk capital, analysis and reporting. You’ll contribute hands-on to the design, development, testing and refinement of analytics products, while ensuring solutions are aligned with business needs, governance expectations and practical operational risk requirements. At CIBC we enable the work environment most optimal for you to thrive in your role. Details on your work arrangement will be discussed at the time of your interview.

Requirements

• Demonstrate experience in data solution development, dashboard development, statistical analysis, machine learning, artificial intelligence, automation, data visualization, database querying, requirements gathering and technical delivery.
• You have a degree or diploma in computer science, engineering, data science, statistics, mathematics, business analytics, risk management or a related field of study, or equivalent work/project experience.
• Values matter to you. You bring your real self to work and you live our values – trust, teamwork and accountability.

Nice To Haves

• Experience with Python, SQL, business intelligence tools, large language models, retrieval-augmented generation, model monitoring, operational risk data, financial services data, or governance-related analytics.

Responsibilities

• Deliver advanced analytics and AI solutions – Develop and support data solutions, dashboards, models and artificial intelligence-enabled tools that help operational risk teams identify insights, improve consistency and make better-informed risk decisions. Apply hands-on technical skills across design, build, testing, refinement and ongoing support activities.
• Translate business needs into technical solutions – Work directly with stakeholders to gather requirements, understand operational risk processes, define technical requirements and deliver solutions that are practical, scalable and aligned to business needs.
• Use data to improve operational risk management – Analyze operational risk data, including structured and unstructured information, to support programs such as Change Initiative Risk Assessments, Risk and Control Self-Assessments, controls, deficiencies, key risk indicators, reporting and operational risk capital.
• Build dashboards, applications and automation – Contribute to the development and enhancement of visualizations, dashboards, management applications and automated reporting solutions that improve user experience, insight generation and productivity across GORM.
• Support model and solution governance – Help ensure data, dashboards, models and artificial intelligence-enabled solutions are developed, tested, documented and maintained in a way that supports governance, compliance, reliability and ongoing performance monitoring.
• Collaborate across teams – Partner with operational risk stakeholders, data and technology partners, and team members across different workstreams to resolve issues, support delivery and communicate technical concepts in a clear and practical way.

Benefits

• competitive salary
• incentive pay
• banking benefits
• a benefits program
• defined benefit pension plan
• an employee share purchase plan
• a vacation offering
• wellbeing support
• MomentMakers, our social, points-based recognition program
• Purpose Day; a paid day off dedicated for you to use to invest in your growth and development

What This Job Offers

• Job Type: Full-time
• Career Level: Senior