Senior AI Actuarial Specialist
Canada Mortgage and Housing Corporation
- Ottawa, ON
- Permanent
- Full-time
- Annual Paid vacation.
- Annual individual performance incentive.
- Defined benefit pension plan.
- Comprehensive group insurance plan to support your well-being from day one.
- Support towards your personal and professional growth with training, mentorship and more.
- An inclusive workplace culture and environment.
- Validate a wide range of models (actuarial, financial, pricing, risk and AI - including ML, LLM and generative AI) by assessing their assumptions, methodologies and risk levels in line with established actuarial and AI frameworks.
- Ensure regulatory and governance compliance, including adherence to CMHC's Model Risk Management Policy, OSFI's E-23 guideline, IFRS 17 standards and regulatory capital frameworks.
- Apply rigorous quantitative methods and structured monitoring, including econometrics, economic capital modelling and statistical analysis (Python, R, SAS), while establishing performance metrics, comprehensive documentation and change management controls.
- Co-develop and maintain quantitative models used for underwriting, pricing, stress testing, capital adequacy, business analytics and automated tools, ensuring full lifecycle management in accordance with model risk management policies.
- Provide technical and analytical expertise.
- Analyze business challenges and deliver recommendations using modelling and validation expertise, ensuring models accurately reflect current market conditions and dynamics.
- Support and guide stakeholders in using and interpreting models by clearly communicating results, model risks and limitations.
- Foster effective and sustainable collaboration with internal and external partners to support knowledge transfer, operational compliance and the long-term sustainability of systems and automated tools.
- A minimum of three years of experience in model validation, model development, quantitative research or actuarial work within a financial institution, insurance company, asset management firm or academic/research environment.
- Strong actuarial and quantitative foundation, including a solid understanding of mathematical finance, risk management, pricing principles and actuarial methodologies.
- Proficiency in Python for model development, data analysis and automation; working knowledge of R and/or SAS.
- Knowledge of model risk management concepts, governance frameworks and validation best practices.
- Good understanding of the Canadian financial sector, real estate markets and the mortgage ecosystem.
- Excellent analytical, written communication and presentation skills.
- An actuarial designation (FCIA, FSA or equivalent) or significant progress toward one.
- Knowledge of large language models (LLMs) and agentic AI frameworks, along with their practical applications in financial services.
- Hands-on experience with generative AI (GenAI) tools and big data ecosystems (e.g., Hadoop, HDFS, Hive, Spark).
- Experience working in a regulatory environment or with OSFI supervisory processes.