City : Toronto, ON, CA

Category : Credit Risk

Industry : Telecommunications

Employer : Rogers

At Rogers, we connect Canadians to a world of possibilities and the memorable moments that matter most in their lives. Every day we wake up with one purpose in mind. To bring loved ones together from across the globe. To connect people to each other and the world around them. To help an entrepreneur realize their dream. A sports fan celebrates a special moment.

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 models to support business decisions (credit risk, marketing, fraud, collection etc.)
• 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
• 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.

Schedule: Full time
Shift: Day
Length of Contract: Not Applicable (Regular Position)
Work Location: 1 Mount Pleasant (083), Toronto, ON
Travel Requirements: Up to 10%
Posting Category/Function: Banking & Credit Risk
Requisition ID: 287681

What makes us different makes us stronger. Rogers has a strong commitment to diversity and inclusion. Everyone who applies for a job will be considered. We recognize the business value in creating a workplace where each team member has the tools to reach their full potential. At Rogers, we value the insights and innovation that diverse teams bring to work. We work with our candidates with disabilities throughout the recruitment process to ensure that they have what they need to be at their best. Please reach out to our recruiters and hiring managers to begin a conversation about how we can ensure that you deliver your best work. You matter to us! For any questions, please visit the Rogers FAQ.
 
Posting Notes:  Corporate