Together, we are Aviva. Our values — Care, Commitment, Community, and Confidence — guide how we show up for each other and for our customers. Individually, they’re words. Together, they define who we are.
At Aviva Canada, we put people first, our employees, our customers, and our communities. We’re proud of a culture built on care, inclusion, and collaboration, where your voice matters and your growth is supported. We’re not just about insurance; we’re about making a real difference by protecting what matters most.
The OpportunityThis role sits within the Commercial Auto Price Modeling team, which focuses on delivering value through developing/modeling large-scale projects and monitoring existing production models. The goal is to maintain and strengthen profitable growth within our commercial auto lines of business.
You will be part of a group that delivers solutions to pricing as well as other business leadership and underwriting teams. This requires an understanding of actuarial and data science knowledge, which requires one to collaborate closely with the pricing teams.
This role provides an excellent opportunity to expand your knowledge across multiple provinces and products, while applying a wide range of actuarial/data science techniques to solve complex problems and help achieve market-leading pricing.
What you’ll do:Develop and maintain pricing models, incorporating new technologies to improve efficiency and predictiveness.
Leverage the latest methodologies to ensure that our models are actuarially sound and align with data science best practices.
Support data science initiatives and provide recommendations to ensure our models maintain their effectiveness, while providing insight into their predictive power.
Monitor the effectiveness of data science models in production, prepare presentations to communicate insights on current and future portfolios
Monitor performance metrics and proactively identify gaps and opportunities, recommending actions for improvement.
Promote risk mitigation and contribute to a risk-aware culture; maintain clear documentation of processes, decisions, and methodologies.
1+ years of P&C experience.
2+ years’ experience coding in Python (numpy, pandas, sci-kit learn, GAM, XGBoost).
Experience working with, or a strong understanding of, pricing models
Strong problem-solving and data analysis skills.
A commitment to staying current with industry developments and emerging trends, with a strong willingness to learn.
Resourcefulness and the ability to work independently.
Strong stakeholder management skills, with the ability to clearly communicate and present ideas to both technical and non-technical audiences.
Progress toward ACAS or FCAS designation.
The salary band for this position ranges from $90,000 to $110,000. Please note that individual salary is determined by factors such as job-related knowledge, skills and experience, as well as internal equity.
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.
This job advertisement is for an existing vacancy which has been posted both internally & externally.
Aviva Canada may use AI (Artificial Intelligence) tools to assist us throughout the recruitment process to screen, assess or select applicants for a position.
Aviva Canada welcomes applications from all qualified individuals and has a process in place to provide accommodations for persons with disabilities at all stages of the hiring process and during employment. If you require an accommodation during the interview or hiring process, please contact your Aviva Talent Acquisition Partner so that an appropriate accommodation can be arranged.
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