MA
Actuarial Specialist in the Life insurance sector, focusing on quotations, evaluations, and data analysis. Requires extensive experience in actuarial practices and strong programming skills.
About the role
- 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.
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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