What you'll be doing

The Optimization Model Development team is responsible for the design and development of data-driven credit risk management strategies for all stages of the credit life cycle. Reporting to the Senior Director, the Quantitative Consultant will be tasked with developing advanced statistical models that evaluate credit risk across a variety of retail credit portfolios including credit cards, personal loans and lines of credit, residential mortgages, small business loans, and collections. This requires expertise in statistical software such as SAS Enterprise Guide, SAS Enterprise Miner, R or Python to develop various predictive and inference models and conduct supplemental statistical analyses. The successful candidate will also write technical model documentation to support the model validation process and maintain adequate model governance standards. Additionally, the Quantitative Analyst will need to engage with various partner units to understand business problems and communicate model results.

How you'll succeed

• Technical expertise. Develop and execute statistical/machine learning models for all retail risk systems. Understand and generate critical actionable insights from data.
• Innovation and problem solving. Develop optimal strategies to respond proactively and reactively to market situation and new business opportunities.
• Effective communication. Engage with business partners to understand business needs and develop suitable modeling and analytics solutions.

Who you are

• You have a graduate degree in quantitative fields (Statistics, Math, Analytics, Economics, Engineering, Data Science). You can also demonstrate expertise in SAS or other advanced data modeling tools. Experience in FICO Decision Optimizer is a major asset.
• You can demonstrate experience in modeling, including work experience with cleaning, merging, modeling and extracting insights from data. Experience of retail credit risk strategies, particularly acquisitions or account management, is an asset.
• You give meaning to data. You enjoy investigating complex problems, and making sense of information. You're confident in your ability to communicate detailed information in an impactful way
• You love to learn. You're passionate about growing your knowledge, and you know that there is no limit to what you can achieve
• You embrace and champion change. You'll continuously evolve your thinking and the way you work in order to deliver your best. You notice things that others don't. Your critical thinking skills help to inform your decision making.
• You engage with your heart and mind. You care about people and understand different perspectives. You listen and learn from the experiences of others.
• Values matter to you. You bring your real self to work and you live our values - trust, teamwork and accountability.

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, Data Analysis, Model Development, Python (Programming Language), Statistical Models