Senior Actuarial Manager at Aviva Canada focusing on personal lines pricing models and data-driven insights. Leading actuarial modeling techniques and collaborating with data science teams.
Responsibilities
Ensure appropriate statistical and machine learning techniques are selected with a focus on technical accuracy.
Ensure model assumptions are grounded in both data science principles and business relevance.
Ability to align model design and outputs with business goals for personal lines pricing.
Translate technical results into strategic recommendations and actionable insights for stakeholders.
Responsible for model risk management, including risk identification, assessment, and mitigation.
Proactively address potential biases and inconsistencies in data and modeling assumptions.
Evaluate model performance and assumptions, interpreting outputs, and proactively reviewing model methodological soundness.
Establish strict data validation procedures to safeguard the integrity of model inputs.
Address inconsistencies, incompleteness, or unreasonableness in data.
Apply sound judgment to balance pace and perfection in data validation, transformation, feature engineering process.
Develop and validate assumptions underlying the models, with documentation that explains their relevance to personal lines insurance.
Regularly revisit these assumptions to ensure they remain appropriate given new data or business conditions.
Rigorously analyze model outputs to confirm that they align with expected pricing strategies and objectives.
Translate model results into actionable insights, helping to drive informed pricing decisions that support Aviva’s strategic goals.
Create and maintain detailed guidelines for the interpretation of model results.
Work closely with pricing teams to ensure correct and consistent use of model outputs in decision-making processes.
Ensure stakeholders understand model limitations and assumptions to make well-informed decisions.
Continuously monitor model performance to report to stakeholders data drift, changes in underlying trends, or degradation in predictive accuracy.
Lead recalibration and updating efforts to adapt models to evolving market conditions and data landscapes.
Lead project and stakeholder management in cross-functional projects, coordinating with technical teams, and building strong relationships with business stakeholders.
Manage multiple priorities and meeting deadlines.
Effectively onboard model users on the correct application of model outputs, emphasizing the importance of understanding model assumptions and limitations.
Focus on supporting accurate usage and driving informed business decisions.
Requirements
7+ years of P&C actuarial experience.
Deep understanding of P&C pricing, including rating processes, algorithms, and system considerations.
Strong knowledge or experience in modeling projects, including scoping, model development, model performance validation, or implementation.
Proficiency in Python, SAS, or SQL for data manipulation, modeling, and analysis.
Experience with data visualization tools such as Tableau or Power BI is an asset.
Stay informed on industry developments and emerging trends, demonstrating a continuous learning mindset and curiosity.
Resourcefulness and ability to be highly independent.
Strong problem solving and analytical skills.
Strong stakeholder management and ability to understand business priorities.
Benefits
Compelling rewards package including base compensation, eligibility for annual bonus, retirement savings, share plan, health benefits, personal wellness, and volunteer opportunities.
Hybrid flexible work model.
Outstanding career development opportunities.
We’ll support your professional development education.
Competitive vacation package with the option to purchase 5 extra days off per year.
Employee-driven programs focused on gender, LGBTQ+, origins, diversity, and inclusion.
Corporate wellness programs to support our employees’ physical and mental health.
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