Sr Analyst, Pred Modelling - Toronto, Canada - Rogers Communications

Description

We are committed to connecting Canadians through unique partnerships, our world-class network and content Canadians love—and our innovative team is growing. We are looking for dedicated team members to join our Corporate team who have a genuine passion for making positive impacts on customers and the communities where we live and work. We have a variety of business units with exciting and meaningful work waiting for you, including Communications, HR, Legal and Corporate Affairs, Supply Chain, Finance, and Real Estate. If you are considering your next step, we have exciting opportunities waiting for you. Come build a rewarding career at Rogers and be a driving force behind our success story

Our Rogers Bank Credit Risk team is growing and is looking for like-minded thinkers who are passionate about telling stories through numbers to help take our investments in innovation to the next step. We are also committed to the growth and development of their team members and offer a challenging work environment with fulfilling results to help balance both financial and business acumen.

The Senior Modelling Analyst is an expert in advanced data analysis to optimize risk and reward decisions. The incumbent will collaborate with teams in the Bank to understand their requirements and build or refine models that help provide insights for decision making.

What you'll do:

• Develop and implement statistical/machine learning models to support business decisions (credit risk, marketing, fraud, collection etc.)
• Assist with IFRS 9 expected credit loss (ECL) model update and maintenance
• Collaborate with cross-functional teams to gather requirements and data for model development
• Test and validate statistical models to ensure accuracy and reliability
• Create clear and concise documentation of statistical models, including assumptions, limitations, methodology, and interpretation of results.
• Continuously monitor and refine statistical models to ensure they remain relevant and effective.
• Develop dashboards and visualizations to communicate insights from the models, and present the findings and recommendations to stakeholders, including senior management.
• Conduct statistical analysis to identify factors that predict customer behaviour including payment behavior, purchase activity, delinquency trends and write-offs
• Quantify impact in key revenue and loss metrics resulting from potential/actual changes to risk strategy and process
• Summarize and communicate results of findings to different audiences with various levels of technical background
• Understand data flows and processes from various business areas to support reporting, analysis and modelling

What you have:

• Bachelor's degree in Mathematics, Statistics, Business, Finance, Economics or equivalent quantitative field
• Work experience within finance / credit card environment is preferred
• Knowledge on IFRS 9 ECL calculation is preferred
• Data analysis skills must include at least 2 years of experience using statistical programs such as SAS, Python, R, Knowledge Studio, or similar
• Strong analytical and statistical knowledge with an ability to combine quantitative and common-sense problem-solving skills
• Highly proficient with the use of database querying tools such as SQL
• Highly proficient with Microsoft office applications - advanced Excel (knowledge of macros-VBA and pivot tables)
• Data visualization tool such as PowerBI is preferred
• Effective communication (written and verbal) and time management required
• Self-starter, able to manage and prioritize multiple complex tasks with minimum supervision and strong attention to detail
• Desire to learn and succeed in a challenging fast-paced environment

As part of the Recruitment process, successful candidates will be required to complete criminal and credit background checks.

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Schedule: Full time
Shift: Day
Length of Contract: Not Applicable (Regular Position)
Work Location: 1 Mount Pleasant (083), Toronto, ON
Travel Requirements: None
Posting Category/Function: Banking & Credit Risk
Requisition ID: 308357