Career Opportunities: Senior Manager, Mortgage & Banking, Modelling & Analytics (13961)

 
Division: IG Insurance Mortgage & Banking
Location: Toronto or Winnipeg 
 
 

IGM Financial Inc. is a leading wealth and asset management company in Canada, managing approximately $310 billion in assets as of December 31, 2025. It offers financial planning and investment services to over two million Canadians through IG Wealth Management and Mackenzie Investments. 

Founded in 1926, IG Wealth Management is a key part of IGM’s business model, providing comprehensive wealth management services to Canadian financial advisors and their clients.  

With a vision to inspire financial confidence, IG Wealth Management is recognized as one of Manitoba’s Top Employers, Canada’s Top 100 Employers, and Best Diversity Employers, aiming to innovate the industry and support Canadians in achieving their financial goals. 

Join our team to engage in continuous learning and skill development in a supportive environment. Experience the best of both worlds with our hybrid work environment, where you spend three days a week in the office, connecting, collaborating, and enjoying quality time with your amazing colleagues! Our Values: Be better; we strive for improvement in everything we do. Be accountable; we foster clarity and are empowered to act responsibly. Be a team; we are united to drive collective impact to achieve our goals. 

Division Summary: The Mortgage, Insurance & Banking business leads the strategic direction of innovative product and service development to provide superior wealth planning, advice, and well-being for affluent Canadians. The team seeks to optimize solutions, grow market share, enhance SOW, and embed credit management and protections strategies in every financial plan. 

Position:The Senior Manager, Mortgage & Banking Modelling & Analytics will play a central role in developing, maintaining, and enhancing modelling and analytics to support the ongoing health and advancement of IG’s Mortgage & Banking portfolio.

This role is accountable for portfolio analytics, advanced quantitative modelling, and cross‑functional collaboration with key stakeholders to turn insight into action.

Key Responsibilities

 1. Portfolio Analytics

 • Develop and maintain portfolio KPI/KRI dashboards covering underwriting quality (approval rate, exception rate, GDS/TDS, credit score migration, LTV dynamics), collections performance (roll‑rate analysis, cure rates, loss severity), product/pricing indicators (volume, margin, penetration, retention) and overall portfolio health (concentration, ECL trends, PD/LGD/EAD movements).

 • Design and execute comprehensive portfolio analytics across the mortgage lifecycle, including originations, prepayment speeds, delinquency trends, early warning signals, and recovery outcomes

 • Monitor and evaluate portfolio performance, supporting end‑to‑end risk oversight from underwriting to collections, and ensuring portfolio performance remains aligned with IG’s risk appetite and regulatory expectations.

 • Conduct macroeconomic analysis and develop stress test scenarios to assess portfolio sensitivity to adverse conditions. Escalate emerging risks and propose mitigation strategies.

• Regularly communicate portfolio trends, insights, and recommendations to key stakeholders to drive awareness and any warranted action 

2. Model Development & Lifecycle Management

 • Lead the development and refinement of credit risk rating models, including Probability of Default (PD), Loss Given Default (LGD), and Exposure at Default (EAD) to support underwriting, collections segmentation, impairment forecasting, and capital/risk appetite assessments.

 • Support the calculation of Expected Credit Loss (ECL) and impairment provisions (Stage 1, 2 and 3) and develop analytics to support workout strategies, recovery optimization, and early‑stage collection strategies.

• Build and monitor models to support product & pricing strategies, such as profitability analysis, pricing sensitivity analysis, client lifetime value, segmentation, portfolio mix optimization

• Develop and conduct end‑to‑end modelling activities including data extraction, data cleaning, feature engineering, statistical modelling, back‑testing, calibration, validation support, ongoing maintenance, and documentation.

• Synthesize data from various internal and external sources (underwriting systems, servicing platforms, bureau data, insurer files, collections systems, appraisals, etc.) to support model development and analytics, leading to actionable insights

• Work closely with internal partners and 3rd party vendors to demonstrate model soundness, stability, fairness, and compliance 

3. Governance, Stakeholder Management and Data Quality

• Prepare and present management summaries, risk insights, and model outcomes to senior leadership, governance committees, audit partners, and regulatory stakeholders.

• Support the design and implementation of IG’s Model Risk Management Framework, promoting a culture of strong governance, transparency, and effective challenge. • Support the ongoing development, maintenance, quality and health of IG’s mortgage & banking data architecture, ensuring consistency, auditability, and alignment to facilitate robust modelling and analytics

• Stay current with regulatory expectations, OSFI guidance (B-20, E-23, Model Risk) and industry best practices to ensure frameworks and methodologies remain current and compliant 

Qualifications:

• Master’s degree or equivalent in relevant quantitative field (Finance, Mathematics, Statistics, Economics, Data Science)

• Minimum 5+ years of relevant experience in mortgage and/or banking analytics, specifically credit risk analytics, product/pricing modelling, mortgage risk management, quantitative risk roles

• Deep mortgage and/or banking knowledge, specifically credit risk methodologies, mortgage underwriting risk factors, collections strategies, and portfolio management. Experience with IFRS 9 / ECL modelling, underwriting analysis, or collections analytics is a strong asset.

• Proven proficiency with SQL, data manipulation/management, reporting/analytics tools (e.g. Excel, Looker, PowerBI, Tableau), and modelling tools (e.g.Python, SAS) for data discovery, analysis, modelling, and reporting

• Experience with model development, validation standards, scenario analysis, stress testing, and back‑testing methodologies. Knowledge of statistical and econometric techniques or AI/machine learning techniques considered an asset.

• Exceptional analytical and problem‑solving abilities with strong attention to detail and accuracy

• Excellent communication skills—written, verbal, and presentation – with strong ability to influence stakeholders and articulate complex quantitative insights to concise summaries for non‑technical audiences

• Strong sense of initiative and results-oriented, with keen interest in process improvement and emerging tools, technologies, and techniques.

• Excellent organizational skills and highly adaptable with the ability to plan, prioritize and manage workload under pressure

• Excellent teamwork and relationship-building skills, with ability to lead or collaborate as part of a team 

 
 
The expected annual base salary range for this role is $87,000 – $124,500, which is determined based on skills, knowledge and experience and geographic location. In addition to base salary, this role is eligible for annual short-term incentive, health and well-being benefits, retirement and savings plan, paid time off and career development.   
 
 

Benefits:  

• COMPETITIVE COMPENSATION & RECOGNITION: competitive base salary, performance-weighted bonus, education/career support, option to join Employee Share Purchase Plan with employer matching component. 

• EMPLOYEE BENEFITS & INSURANCE: competitive health and dental coverage, flexible plan for you and your family and short-term & long-term disability plans.

• RETIREMENT SAVINGS PROGRAMS: voluntary Defined Contribution Pension Plan 

• WORK LIFE BALANCE: paid volunteer days, competitive time off, including 10 wellness days off, WorkPerks discount program, hybrid & flex work arrangements. 

• INCLUSIVE CULTURE AND DIVERSITY: living our core values: Be a Team, Be Accountable, Be Better, engaging with community through Business Resource Groups (BRG communities are volunteer employee-led groups formed around a common interest, identity, or background).  

IGM is a diverse workplace committed to doing business inclusively – this starts with having a representative workforce! We encourage applications from all qualified candidates that represent the diversity present across Canada – including racialized persons, women, Indigenous persons, persons with disabilities, 2SLGBTQIA+ community, gender diverse and neurodiverse individuals, as well as all who may contribute to the further diversification of ideas. 

IG is an accessible employer committed to providing a barrier- free recruitment experience. If you require an accommodation or this information in an alternate format at any stage of the recruitment process, please reach out to the Talent Acquisition team who will work with you to meet your needs.    

How to Apply: Interested candidates are invited to submit their resume and a cover letter detailing their qualifications and experience to https://www.ig.ca/en/careers

We thank all applicants for their interest in IG Wealth Management; however, only those candidates selected for an interview will be contacted.   

Please apply before March 20 2026.

#LI-KN1

#LI-Hybrid