Consultant, RESL Advanced Analytics (Credit Risk)

Location: Toronto, ON, with a hybrid arrangement requiring 1–3 days per week on-site and the remaining days remote. Candidates must be legally eligible to work in Canada and hold a valid work or study permit where applicable.

Company

Relationship-oriented bank focused on modern banking services, client impact, and an inclusive work environment.

What you will do

• Provide subject-matter expertise and consultative and technical advice within the Real Estate Secured Lending Advanced Analytics team.
• Monitor portfolio performance, interpret complex data, and identify and forecast key portfolio risk trends.
• Support the design and execution of acquisition and account management strategies for retail lending products.
• Apply champion/challenger methodologies to optimize risk-reward tradeoffs.
• Own project portfolios across planning, execution, control, and closure.
• Collaborate with cross-functional stakeholders to understand business needs and implement aligned solutions.

Requirements

• Bachelor’s degree or higher in Data Analytics, Data Science, Applied Mathematics, or a related field.
• 3–5 years of experience working with large-scale data and advanced analytics.
• Experience with Data Bricks, Python, SQL, SAS, Power BI, or Tableau.
• Strong quantitative, analytical, problem-solving, communication, and stakeholder-management skills.
• Legal eligibility to work at the specified Canadian location; a valid work or study permit may be required.

Nice to have

• Banking industry experience, particularly in retail credit risk management.

Culture & Benefits

• Hybrid work environment with flexibility to manage work activities.
• Competitive salary and incentive pay.
• Banking benefits, employee benefits program, defined benefit pension plan, and employee share purchase plan.
• Vacation offering, wellbeing support, and a social recognition program.
• Paid Purpose Day for personal growth and development.
• Inclusive and accessible candidate and workplace experience.

Hiring process

• Possible attribute-based assessment and skills tests, including simulation, coding, or French proficiency assessments.
• Artificial intelligence tools may be used during recruitment.