Senior Credit Risk Analyst

Rogers Communications•Toronto, ON

7d•Onsite

About The Position

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 Sr. Credit Risk 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.

Requirements

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

Responsibilities

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

Benefits

Competitive salary & annual bonus
Competitive & flexible health and dental benefits, pension plan, RRSP, TFSA, and Stock matching programs.
Discounts: Enjoy up to 50% off Rogers Services and Blue Jays Tickets, 25% off TSC items, and a 20% discount on all wireless accessories sold in Rogers stores.
Paid time off for volunteering
Company matching contributions to charities you support
Self-driven career development programs (E.g. MyPath program)
Rogers First: priority in applying to internal roles of interest
Homewood employee & family assistance program
Cognitive Behavioural Therapy (CBT) & Virtual therapy sessions
Low or no-cost fitness membership with access to virtual classes
Work for an organization committed to environmental protection
Strong commitment to diversity and inclusion with employee resource groups supporting equity-deserving groups including groups representing People of Colour, 2SLGBTQIA+, Indigenous Peoples, Persons with Disabilities and Women.