Lead a high-functioning team as part of the scale-up of an iconic brand, supporting brokers in complex transactions, shaping the design of an industry-leading technical stack, and building a globally minded team of specialty analytics experts.
Responsibilities
Lead and support a high functioning team of specialty analytics experts
Shape the design of an industry-leading technical stack
Build out a globally minded, highly specialised, and seamlessly connected team
Serve as a strategic advisor to clients providing deep actuarial insight into portfolio performance, risk dynamics, and optimal reinsurance structures
Support the development of bespoke reinsurance programs
Lead a small team to develop scalable solutions that improve policyholder outcomes and enhance the performance and value of life insurance in-force portfolios.
Compensation
The base salary hiring range for this existing position located in Toronto is CAD $160,000 to $210,000.
Responsibilities
Lead a high-performing team by setting direction and priorities, coaching members and building capabilities across actuarial, analytical, and client-facing skills
Identify market opportunities for new solutions, evaluating them based on value, strategic fit, and scalability
Lead client engagements to test and validate new approaches, generate evidence of value, and build reusable tools
Develop KPIs, measurement frameworks, and tools that track policyholder outcomes and the persistency impact of each solution
Define quantification methods to connect solution results to financial value for clients and Swiss Re
Perform actuarial analyses for assigned areas of the business, develop and maintain models, and collaborate across functions to support decision making.
Perform actuarial analyses for assigned areas of the business, apply sound methods and judgment, and explain results and drivers to stakeholders.
Develop, enhance, and maintain actuarial models, tools, and methodologies that support business decisions, with an emphasis on automation and efficiency.
Identify manual, repetitive, or error-prone processes, and build and maintain automated workflows and reports in SQL, Python, VBA, or R that improve speed, accuracy, controls, and repeatability.
Translate reporting, regulatory, and analytical needs into clear data requests for Data Engineering and Program Managers, and act as an ongoing liaison on data sources, definitions, and quality.
Le lead key projects and project teams within the enhanced analytics team, focusing on leveraging advanced statistical models and machine learning algorithms to enhance understanding of business and trends outside of NatCat risks.
Compensation
The full-time base salary range for this position is $200,000-$220,000 per year; base salary offered may vary based on job-related knowledge, skills, and experience.
Responsibilities
Oversee the development and deployment of advanced statistical models and machine learning algorithms.
Support Pricing in peak periods.
Generate new analytical project ideas based on business understanding.
Set up projects to enable data-driven conclusions.
Work with Data Engineers and Data Scientists on model builds.
Requirements
University degree with emphasis on mathematics, statistics, economics, finance or a similar field
Advanced degree in a hard science, such as Data Science/Mathematics/Computer science
Work with stakeholders across the organization to align how data is defined and reported so results are consistent across actuarial and other reporting.
