Senior Credit Risk Analyst

Rogers Communications

$75K — $95K *
Finance & Insurance
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's degree in Mathematics, Statistics, Business, Finance, Economics or a related field
  • Preferred experience in finance/credit card environment
  • Knowledge of IFRS 9 expected credit loss (ECL) calculation is preferred
  • At least 2 years experience with statistical programs like SAS, Python, or R
  • Strong analytical skills with proficiency in SQL and advanced Excel
  • Familiarity with data visualization tools such as PowerBI is preferred
  • Effective communication skills and ability to manage multiple tasks

Responsibilities

  • Develop and implement statistical and machine learning models for decision support
  • Assist with the update and maintenance of IFRS 9 expected credit loss (ECL) models
  • Collaborate with cross-functional teams to gather data for model development
  • Test and validate models for accuracy and reliability
  • Create clear documentation for statistical models including methodology and interpretation
  • Monitor and refine models for ongoing relevance and effectiveness
  • Develop visualizations and present insights to stakeholders, including senior management

Benefits

  • Competitive health and dental benefits, pension plan, and stock matching programs
  • Discounts on Rogers Services and Blue Jays Tickets and other items
  • Paid time off for volunteering and company matching contributions to charities
  • Self-driven career development programs and priority in applying for internal roles
  • Wellness programs including employee assistance and virtual therapy sessions
  • Commitment to environmental protection and diversity with strong support for equity-deserving groups
Full Job Description
Who we are looking for:

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.

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


What's in it for you?
We believe in investing in our people and helping them reach their potential as valuable members of our team. As part of our team, you'll have access to a wide range of incredible resources, growth opportunities, discounts, and perks, including:
  • 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
  • Growth & Development Opportunities:
    • Self-driven career development programs (E.g. MyPath program)
    • Rogers First: priority in applying to internal roles of interest
  • Wellness Programs:
    • Homewood employee & family assistance program
    • Cognitive Behavioural Therapy (CBT) & Virtual therapy sessions
    • Low or no-cost fitness membership with access to virtual classes
  • Our commitment to the environment and diversity:
    • 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. We all bring something different, and we know what makes us different makes us great.


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: 332887

To support career growth, collaboration, and high-performing teams, all Corporate Employees are expected to work onsite. We believe that in-person connection strengthens our culture and drives industry-leading performance.

Posting Notes: Rogers Bank

Location:

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