What you'll be doing

The Senior Manager, Borrowing Solutions Analytics & Insightswill be a leading contributor on the AI, Data and Analytics (AIDA) team supporting the Borrowing Solutions business within Personal and Business Banking, with product coverage across Real Estate Secured Lending (RESL), Auto Loans, and Unsecured Lending . The AI, Data and Analytics team focuses on creating next-generation analytics assets to enable data-driven decision-making for partners in Product, Marketing, Client Segments, Risk, and Strategy.

In this role, you will lead analytics engagements to evaluate client behaviours and optimize business decisions related to product strategy, acquisition and retention campaigns, pricing, portfolio performance, and other business areas. You will drive innovation through advanced AI and machine learning solutions, translating cutting-edge technology into tangible business value and measurable outcomes. You will present insights and make data-driven recommendations to senior leaders to help identify opportunities to grow the business, improve portfolio outcomes, and better serve our clients.

At CIBC we enable the work environment most optimal for you to thrive in your role. You'll have the flexibility to manage your work activities within a hybrid work arrangement where you'll spend 1-3 days per week on-site, while other days will be remote.

How you'll succeed

• Innovation & Value Realization - Champion a culture of innovation by identifying and implementing transformative AI and machine learning solutions that deliver measurable business value. Proactively seek opportunities to leverage emerging technologies to create competitive advantages, optimize client experiences, and drive revenue growth across Borrowing Solutions. Translate complex analytical initiatives into quantifiable business outcomes, demonstrating clear ROI and value realization across all engagements.
• Consultant - Be a leader and subject matter expert in Borrowing Solutions, with strong understanding of RESL, Auto Loans, and Unsecured Line of Credit. Integrate deep domain knowledge with analytical capabilities to deliver value to stakeholders, enable data-driven decision-making, and proactively identify opportunities to drive business growth through projects and business cases, acquisition and retention campaigns, pricing, channels, segments, products, and process enhancements.
• Analytics - Independently identify and leverage the right statistical techniques, including descriptive, predictive, and prescriptive analytics, to extract actionable insights from client behaviors, borrowing needs, portfolio trends, and business performance, both internal and external. Apply advanced machine learning algorithms and AI-driven methodologies to uncover hidden patterns and predict future trends with precision. Appropriately integrate big data, business intelligence, visualization, self-service, and analytical tools into engagements. Proactively explore new applications of advanced analytics, AI, and machine learning to innovate and build strategic analytics assets that create sustainable competitive advantages.
• Technology - Leverage big data and analytical tools to analyze large structured and unstructured datasets, build data pipelines, and create visualizations from multiple data sources. Implement and deploy machine learning models and AI solutions using modern MLOps practices, ensuring scalability, reliability, and continuous improvement of analytical assets.
• Ownership - Orchestrate end-to-end delivery of solutions that meet stakeholder requirements and contribute to business success. Think and act like an owner in analytics initiatives, ensuring business needs are properly identified and translated into analytics requirements while maintaining a relentless focus on value creation and measurable business impact.
• Communication - Find the story in the data and communicate at varying levels of detail for the right audience. Articulate the business value and innovation potential of AI and machine learning initiatives to both technical and non-technical stakeholders, building enthusiasm and support for transformative change.

Who you are

• You have a degree in a quantitative field such as mathematics, statistics, computer science, economics, engineering, physics, or business, or equivalent experience. An advanced degree is an asset, such as an MMA, MBAN, MSc, MA, or MBA.
• You have demonstrated expertise in artificial intelligence and machine learning, with hands-on experience developing, deploying, and maintaining ML models in production environments.
• You possess strong knowledge of machine learning frameworks and libraries, such as TensorFlow, PyTorch, scikit-learn, and Keras, and have applied various ML techniques, including supervised and unsupervised learning, deep learning, natural language processing, and reinforcement learning.
• You are proficient in programming languages and have experience using modern big data, analytical, and dashboard tools, such as Python, R, SAS, SQL, Hadoop, Spark, Alteryx, Tableau, Databricks, Power BI, MLflow, Azure ML, and AWS SageMaker.
• You have experience in building end-to-end analytics solutions involving large datasets, including requirements gathering, data extraction, cleaning and transformation, statistical analysis, model development and deployment, presentation, and implementation.
• You have working knowledge of statistical techniques, such as regression, time-series analysis, clustering, and decision trees, and advanced machine learning algorithms, such as ensemble methods, neural networks, gradient boosting, and dimensionality reduction.
• You bring relevant lending and borrowing product knowledge, ideally with experience supporting one or more of RESL, Auto Lending, or Unsecured Lending portfolios through analytics, insights, strategy, or product management.
• Values matter to you. You bring your real self to work and you live our values - trust, teamwork and accountability.

#LI-TA

What CIBC Offers

At CIBC, your goals are a priority. We start with your strengths and ambitions as an employee and strive to create opportunities to tap into your potential. We aspire to give you a career, rather than just a paycheck.

• We work to recognize you in meaningful, personalized ways including a competitive salary, incentive pay, banking benefits, a benefits program*, defined benefit pension plan*, an employee share purchase plan, a vacation offering, wellbeing support, and MomentMakers, our social, points-based recognition program.
• Our spaces and technological toolkit will make it simple to bring together great minds to create innovative solutions that make a difference for our clients.
• We cultivate a culture where you can express your ambition through initiatives like Purpose Day; a paid day off dedicated for you to use to invest in your growth and development.

*Subject to plan and program terms and conditions

Job Location
Toronto-81 Bay, 23rd Floor

Employment Type
Regular

Weekly Hours
37.5

Skills
Business Effectiveness, Business Implementation, Communication, Data Reporting, Decision Making, Metrics Analysis, Process Improvements, Reporting and Analysis, Statistical Analysis