What you'll be doing

In this role, you will be a key member of the Real Estate Secured Lending (RESL) Advanced Analytics team within Risk Analytics and Credit Decisioning (RACD). As a Senior Consultant, RESL Advanced Analytics & Quantitative Risk Modelling, you'll play a key role in advancing the analytical capabilities that support the sustainable performance of the RESL portfolio in alignment with CIBC's retail risk appetite. You'll develop and monitor risk models, design credit strategies, and deliver analytics that drive informed decision-making across the RESL portfolio. You'll also serve as a key point of contact for Risk Business Managers and other risk regulatory teams, ensuring clear and effective communication regarding RESL risk strategies, reports, insights, and model-related inquiries.

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

• Model Development & Analytics - Develop, validate, and monitor risk models, scorecards, and characteristics to mitigate RESL credit risk, applying advanced statistical techniques and machine learning methods to support sound credit risk decision-making. Conduct detailed quantitative analysis to support the development and implementation of new and existing strategies, models, and scorecards, translating complex analytical findings into meaningful, actionable recommendations.
• Strategy Development - Design and implement data-driven acquisition and account management strategies, optimizing risk-reward tradeoffs across retail lending products through rigorous champion/challenger methodologies.
• Subject Matter Expertise - Serve as a trusted subject matter expert in RESL credit risk analytics, providing guidance and insight on complex issues, models, and strategies to support business objectives.
• Project Management - Lead RESL advanced analytics projects from conception to implementation, ensuring successful delivery and measurable impact.
• Stakeholder Management - Build strong relationships and collaborate effectively with senior management, cross-functional teams, and external partners to identify business opportunities, resolve complex issues, and drive strategic initiatives to successful completion.

Who you are

• You have a strong academic foundation. You hold a Bachelor's or Master's degree in a quantitative field such as analytics, statistics, mathematics, or computer science. A graduate degree is considered an asset.
• You bring deep analytics experience. You have 5+ years of progressive experience in data analytics and machine learning, with a strong background in retail credit risk management, ideally within the banking industry.
• You're technically proficient. You have expert knowledge of statistical and analytical tools including Python, Databricks, SAS Enterprise Guide, and SAS Enterprise Miner, and you're comfortable applying these to solve complex, real-world credit risk problems.
• Technical Expertise - You have expert knowledge of statistical software such as Python, Databricks, SAS Enterprise Guide, and SAS Enterprise Miner, as well as other mathematical and statistical application tools used for advanced analytics.
• You communicate with impact. You're skilled at articulating complex ideas and analytical recommendations to diverse audiences, and you're effective at influencing stakeholders to drive meaningful change.
• You bring domain knowledge in RESL. It's an asset if you have a strong understanding of RESL practices, credit risk analytics, and regulatory considerations relevant to mortgage and secured lending portfolios.
• You have an ownership mindset. You're results-driven, take initiative, and demonstrate a strong sense of ownership in your work. You're motivated to achieve goals and deliver impactful outcomes.
• Values matter to you. You bring your real self to work, and you live our values - trust, teamwork, and accountability.

#L1-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, 31st Floor

Employment Type
Regular

Weekly Hours
37.5

Skills
Analytical Thinking, Business Requirements, Communication, Credit Risk Analytics, Data Integration, Data Quality, Delivery Management, Prioritization, Python (Programming Language), Quality Improvement, Risk Analytics, Risk Management Strategies, Risk Modeling