Sr. Quantitative Analyst, Quantitative Risk Modeling

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

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Quantitative Risk Modelling has several duties with respect to risk models, including model development, monitoring, governance, assessment, and consultation. Reporting to the Sr. Manager, the Sr. Quantitative Analyst will use tools such as Databricks, Python, SAS, and other modelling software, to execute the performance monitoring process for various risk models. You will also be responsible for our day-to-day operations including root cause analysis, ad-hoc quantitative assessments, and model documentations.

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.

• Model Performance Monitoring – You will execute the day-to-day model operations and testing with regards to monitoring and implementation including maintenance of dashboards and reports. Track the effectiveness of predictive models in order to evaluate their ongoing performance and keep them current.

• Models and Scorecards Development – You will contribute to the development of new models/scorecards and characteristics to mitigate credit risk across a broad variety of portfolios including Credit, AML, and Fraud risk. Collaborate with business partners to advanced analytics project from conception to implementation including Machine Learning and AI initiatives.

• Value-Added Quantitative Analysis – You will conduct quantitative analysis to support the development and implementation of new and existing models or scorecards within Credit Risk. Work closely within the team to facilitate effective dissemination of risk information regarding models.

• You can demonstrate experience. In data analytics focused role. Demonstrate advanced analytics skills, machine learning, statistical procedures, techniques to conceptualize, research, compile and translate analytical findings into meaningful applicable strategies and recommendations. Proficiency with SQL, Python, PySpark, Databricks, and SAS.

• You can demonstrate knowledge. Risk modelling with regards to model development, monitoring and understand the business concepts, strategy, and usage of these models.

• You have a degree. In a quantitative field such as Analytics, Statistics, Mathematics, etc.

• You’re digitally savvy. You seek out innovative solutions and embrace evolving technologies. You can easily adapt to new tools and trends. Strong Python, SQL, and SAS skills.

• You give meaning to data. You enjoy investigating complex problems and making sense of information. You communicate detailed information in a meaningful way.

• You know that details matter. You notice things that others don’t. Your critical thinking skills help to inform your decision making.

• Values matter to you. You bring your real self towork and you live our values - trust, teamwork, and accountability.

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…