Senior Consultant, RESL Advanced Analytics & Quantitative Risk Modeling
About The Position
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.
Requirements
- A Bachelor's or Master's degree in a quantitative field such as analytics, statistics, mathematics, or computer science.
- 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.
- 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.
- Skilled at articulating complex ideas and analytical recommendations to diverse audiences, and you're effective at influencing stakeholders to drive meaningful change.
- Results-driven, take initiative, and demonstrate a strong sense of ownership in your work.
- Motivated to achieve goals and deliver impactful outcomes.
- Bring your real self to work, and you live our values - trust, teamwork, and accountability.
Nice To Haves
- A graduate degree is considered an asset.
- A strong understanding of RESL practices, credit risk analytics, and regulatory considerations relevant to mortgage and secured lending portfolios.
Responsibilities
- 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.
- Design and implement data-driven acquisition and account management strategies, optimizing risk-reward tradeoffs across retail lending products through rigorous champion/challenger methodologies.
- 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.
- Lead RESL advanced analytics projects from conception to implementation, ensuring successful delivery and measurable impact.
- 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.
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
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What This Job Offers
Job Type
Full-time
Career Level
Senior
