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Senior Manager, Risk Analytics

IG Wealth Management

IG Wealth Management

Data Science
Toronto, ON, Canada
Posted on May 4, 2025

Division: IG-InsMtgBnk

Location: Toronto

IGM Financial Inc. is one of Canada's leading diversified wealth and asset management companies with approximately $271 billion in total assets under managements. The company provides a broad range of financial planning and investment management services to help more than two million Canadians meet their financial goals. Its activities are carried out principally through IG Wealth Management and Mackenzie Investments.

Under IGM Financial's unique business model based on leading brands and multi-channel distribution strategy, we’re IG Wealth Management. For over 90 years of business, we have grown to become one of the largest most respected companies in Canada. We are a leader in providing the best advice, experience and outcomes for our clients, personalized throughout their lifetime.

At IG Wealth Management, our vision is to inspire financial confidence.

This is your opportunity to build a career with a leading organization where you can learn, grow and thrive both professionally and personally. We are proud to be recognized as one of Canada’s Top Employers by Mediacorp Canada Inc. for empowering our employees with the tools to thrive, while also providing resources to ensure physical and mental wellness were put front and center.

You will join a team that believes our success starts with the success of our clients, while working together as a team to realize our greatest potential. You will join a team that strives towards excellence while developing and sharing skills and knowledge. You can make a difference for our clients, the world around us and be part of a team that cares. We are dedicated to offering a hybrid work environment when applicable.

IG Wealth Management 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.

Position:

The Senior Manager, Risk Analytics is responsible for monitoring mortgage originations and portfolio performance, leading complex analytical assessments and quantifying defaults and credit losses. This individual performs portfolio risk analytics, develops and maintains credit risk models, and works closely with internal stakeholders in leading the areas of governance, reporting and data management to ensure portfolio maintenance and model methodologies are following internal framework and regulatory requirements.

Responsibilities:

Point 1: Portfolio Risk Analytics

  • Responsible for the design and development of credit portfolio risk activities such as: analytics, data quality, monitoring, reporting and process/operational enhancements.

  • Develop and maintain risk metrics and dashboards with main KPI’s and KRI’s on mortgage originations (approval rate, funding rate, GDS/TDS, exceptions, Credit scores, LTV, etc.) and portfolio performance (concentration, delinquency rate, loss rate, refreshed LTV, refreshed scores, etc.)

  • Responsible for reporting on key risk metrics in relation to the key performance indicators for the credit risk portfolio. Perform and review analyses for ad-hoc requests, and present insights.

  • Follow and summarize the state of the macroeconomic environment, propose stress test scenarios on the credit portfolio.

  • Responsible for creating, implementing and managing data quality controls and effectiveness for accuracy and reliability.

  • Provide and communicate clear and accurate information related to the credit risk portfolio as requested by stakeholders.

Point 2: Model Development & Maintenance

  • Develop and design risk rating models for the credit portfolio to support the Profitability of Default (PD), Loss Given Default (LGD), Exposure at Default (EAD) parameters.

  • Perform key tasks associated with model development including data analysis, data mining, model implementation and documentation.

  • Support the assessment of Expected Credit Loss (ECL) and Provision for Credit Loss (PCL)

  • Develop and maintain credit risk models and analytics, contribute to stress testing exercises.

  • Analyze the effectiveness of models through the entire model lifecycle and demonstrating model performance.

Point 3: Governance, Reporting & Data

  • Prepare and present management summaries highlighting key decisions and key findings at management forums (Mortgage Risk Committee, etc.).

  • Lead the process of establishing the model risk framework and promote a risk culture.

  • Work with data developers to integrate data from multiple internal and external sources to be used for risk analytics.

  • Lead the process of defining and implementing credit risk data architecture and infrastructure.

  • Leverage existing programming software (SAS, SQL, Python) and technologies (Tableau, PowerBI) for data discovery, visualization, modelling and reporting.

  • Keep abreast of industry and regulatory landscape and recommend and enforce improvements to tests/methods to fulfill internal validation needs and to align with industry practices.

Requirements:

Education, Experience, Qualification and Job specific knowledge and skills

  • Education: Quantitative background master’s degree in finance, Mathematics, Statistics, Economics or related certification.

  • Hands on experience with SAS or Python or other sophisticated model development tools.

  • Strong experience in data analytics in creating and manipulating large data sets for statistical modelling and developing risk rating models.

  • Experience: minimum 5+ years in a risk management position working in the mortgage industry.

  • Qualifications (certifications, designations etc.): Professional qualifications such as Financial Risk Management (FRM) or Professional Risk Manager (PRM) are an added advantage.

  • Very strong knowledge of credit risk management methodologies, policies and practices.

  • Well-developed knowledge and understanding of stress testing and scenario analysis, methodologies, and frameworks.

  • Autonomy and sense of initiative.

  • Ability to influence.

  • Proven problem-solving skills.

  • Strong organizational and analytical skills.

  • Excellent teamwork, coaching, leadership and relationship building skills.

  • Comfort and experience working in a project environment and managing multiple competing priorities.

  • Critical thinking skills and ability to work under tight timelines.

  • Highly effective communication skills, both written and verbal.

Please visit our career page by clicking on the following link: 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.

IG Wealth Management 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.

Please apply by May 16, 2025.

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