Experience Aviva 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 Opportunity Join a highly quantitative team responsible for developing and maintaining Aviva Canada's industry-leading Economic Capital Internal Model! As the Data Scientist on the Economic Capital team, you will apply statistical modelling, simulation techniques, and advanced analytics to support risk assessment, capital modelling, and strategic decision-making across the organization. Working alongside actuaries, catastrophe risk specialists, and other insurance professionals, you will help develop analytical solutions that quantify risk exposures, evaluate capital requirements, and support enterprise risk management initiatives. This role offers a unique opportunity to apply data science methodologies to complex insurance and financial risk problems while gaining exposure to climate risk, catastrophe modelling, and capital management. You will contribute across the full analytical lifecycle, from data exploration and model development through validation, implementation, monitoring, and ongoing enhancement. Your work will support critical business decisions and help strengthen Aviva Canada's risk and capital management capabilities. What you’ll do: Drive the development of Aviva Canada's Climate Scenario Analysis physical risk modelling pipeline, integrating climate and weather hazard models with insurance claims and exposure data to quantify the impact of climate-related risks on the business. Design, develop, and maintain data pipelines that transform large-scale climate, geospatial, exposure, and claims datasets into inputs for physical risk and capital modelling. Design and implement stochastic simulation frameworks and statistical models to support risk calibration, risk aggregation, dependency modelling, and capital estimation methodologies. Analyze internal and external Insurance/Finance/Catastrophe datasets to identify trends, quantify uncertainty, and generate actionable business insights. Apply statistical, machine learning, and data science techniques to improve risk measurement, forecasting, and capital modelling approaches. Collaborate closely with actuaries, catastrophe risk specialists, finance teams, and other insurance professionals to translate business challenges into analytical solutions. Communicate modelling approaches, assumptions, and analytical findings to both technical and non-technical stakeholders. Support model validation, governance, and documentation activities to ensure analytical solutions meet internal standards and regulatory expectations. What you’ll bring: Bachelor's or Master's degree in Data Science, Statistics, Mathematics, Computer Science, Physics, Engineering, Actuarial Science, Economics, or a related quantitative field. Experience applying statistical modelling, predictive analytics, simulation techniques, or quantitative analysis to solve business problems. Strong programming skills in Python and SQL, with experience working with large and complex datasets. Knowledge of statistical methods, probability theory, and quantitative modelling techniques. Strong problem-solving and critical-thinking skills. Excellent communication and collaboration skills, with the ability to work effectively across technical and non-technical teams. Curiosity and willingness to learn insurance, risk management, and capital modelling concepts. What makes you stand out: Experience in insurance, financial services, risk analytics, or other highly quantitative industries. Experience with predictive modelling, machine learning, statistical inference, or advanced analytical methodologies. Familiarity with catastrophe models, climate risk analytics, geospatial analytics, or exposure management. Experience working with stochastic simulation models or uncertainty quantification techniques. Knowledge of enterprise risk management, economic capital modelling, or financial risk analytics. What you’ll get: The salary band for this position ranges from $80,000 to $120,000. 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. #LI-MH1 #LI-Hybrid We help our 19.5 million customers to save for the future and manage the risks of everyday life. To give these customers the best possible products and service we know we must make Aviva the most attractive choice for talented, entrepreneurial people with diverse backgrounds and an evolving range of expertise and insight. So, we’re passionate about helping our 23,000 people to do the best work of their lives, to enable them to make a positive difference to the lives of our customers.