Senior Manager, Personal Lending Analytics

We’re building a relationship-oriented bank for the modern world. We need talented, passionate professionals who are dedicated to doing what’s right for our clients.

At CIBC, we embrace your strengths and your ambitions, so you are empowered at work. Our team members have what they need to make a meaningful impact and are truly valued for who they are and what they contribute.

To learn more about CIBC, please visit CIBC.com

What you'll be doing

The Senior Manager, Personal Lending Analytics will be a leading contributor in the AI, Data and Analytics (AIDA) team supporting Personal Lending product lines including the Real Estate Secured Lending (RESL), Unsecured Lending and Automotive Lending businesses. 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 Segment and Strategy.

In this role, you will lead analytics engagements to evaluate client behaviours and optimize business decisions related to product, campaign, pricing 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 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. 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 Personal Lending. 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 (projects/business cases, acquisition/retention campaigns, pricing, channels, segments, products and process enhancements).
• Analytics – Independently identify and leverage the right statistical techniques (descriptive, predictive, prescriptive) to extract actionable insights out of client behaviours and business trends (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/analytical tools to analyze large structured and unstructured datasets, build data pipelines and 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. You will think and act like an owner in analytics initiatives, ensuring the proper identification and translation of business needs into analytics requirements while maintaining a relentless focus on value creation and measurable business impact.
• Communication – Find the story in data and be flexible in communicating 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 (i.e. mathematics, statistics, computer science, economics, engineering, physics, business) or equivalent experience. Advanced degree is an asset (i.e. MMA, MBAN, MSc, MA, 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 (e.g., TensorFlow, PyTorch, scikit-learn, Keras) and have applied various ML techniques including supervised/unsupervised learning, deep learning, natural language processing, and reinforcement learning.
• You are a problem solver with exceptional critical thinking, problem solving and decision-making skills, with demonstrated ability to independently identify and analyze business problems and recommend innovative solutions.
• You are proficient in programming languages and have experience using modern big data, analytical and dashboard tools (i.e., Python, R, SAS, SQL, Hadoop, Spark, Alteryx, Tableau, Databricks, Power BI, MLflow, Azure ML, AWS SageMaker).
• You have experience in building end-to-end analytics solutions involving large datasets (i.e., requirement gathering, data extraction, cleaning and transformation, statistical analysis, model development and deployment, presentation & implementation).
• You have working knowledge of statistical techniques (i.e., regression, time-series analysis, clustering, decision trees) and advanced Machine Learning algorithms (e.g., ensemble methods, neural networks, gradient boosting, dimensionality reduction).
• You are passionate about innovation and have a proven track record of translating AI/ML capabilities into measurable business value, with experience in value realization frameworks and ROI measurement.
• You are an avid learner who recognizes the analytics field is constantly evolving. You seek to explore emerging trends and best practices in AI, Machine Learning, and innovative analytics methodologies, and are excited to share the knowledge with others.
• You can be clearly understood. You have very strong communication and presentation skills with a demonstrated ability to clearly and concisely present information to groups and individuals at all levels in the organization.
• You put our clients first. You engage with purpose to find the right solutions. You go the extra mile, because it's the right thing to do.
• Your influence makes an impact. You know that relationships and networks are essential to success. You inspire outcomes by making yourself heard.
• 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

What you need to know

• CIBC is committed to creating an inclusive environment where all team members and clients feel like they belong. We seek applicants with a wide range of abilities and we provide an accessible candidate experience. If you need accommodation, please contact Mailbox.careers-carrieres@cibc.com

• CIBC is committed to clarity in our hiring process. All roles posted are opportunities we’re actively recruiting for, unless stated otherwise.

• You need to be legally eligible to work at the location(s) specified above and, where applicable, must have a valid work or study permit.

• We may ask you to complete an attribute-based assessment and other skills test (such as simulation, coding, French proficiency).

• We use artificial intelligence tools during the recruitment process. Our goal for the application process is to get to know more about you, all that you have to offer, and give you the opportunity to learn more about us.

Job Location

Toronto-81 Bay, 23rd Floor

Employment Type

Regular

Weekly Hours

37.5

Skills

Actionable Insights, Advanced Analytics, Alteryx, Analytical Tools, Analytics, Big Data, Business Intelligence (BI), Client Counseling, Computer Science, Dashboard Creation, Dashboards Design, Data Analysis, Data-Driven Decision Making, Data Pipelines, Group Problem Solving, IBM Cognos Business Intelligence, Personal Initiative, Personal Lending, Problem Solving, Python (Programming Language), R Code, SAS Platform, Statistics, Structured Query Language (SQL), Tableau (Software)