Work closely with underwriters and analysts to perform qualitative and quantitative actuarial analyses to assess the profitability of complex inwards reinsurance contracts
Assist in peer-reviewing pricing analyses performed by the Zurich pricing and analyst teams
Communicate analyses effectively to underwriters and senior management
Continuously improve the selection and pricing of risk through assisting the development and refinement of internal pricing tools
Collaborate with all actuarial teams across the global organisation and follow consistent pricing practices and approaches
Requirements
university degree with emphasis on mathematics, statistics, economics, finance or a similar field
Lead a high-functioning team of specialty analytics experts to support complex reinsurance transactions, design an industry-leading technical stack, and provide globally minded analytical insights within the reinsurance market.
Locations (2)
London, England, United Kingdom
Bermuda, Bermuda, Bermuda
Responsibilities
Lead and scale a team of specialty analytics experts
Shape the design of an industry-leading technical stack
Serve as a strategic advisor to clients regarding portfolio performance and risk dynamics
Establish and deliver a roadmap of analytical tools for reinsurance analytics
Identify opportunities for development using emerging technologies like AI, Data Science, and Generative AI
Requirements
Degree-qualified professional
Nice to have: US E&S/mid-market experience
Nice to have: AI
Nice to have: Data Science
Nice to have: Generative AI
Senior Specialist, Modelling
Canada Mortgage and Housing Corporation (CMHC) · Posted Nov 7, 2026
Apply advanced actuarial and analytical skills to support CMHC’s modelling initiatives, including model development, validation, and interpretation of model results.
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.
Our salaries generally range from $ 104180.28 to $ 130225.36 and are based on qualifications and experience.
Responsibilities
Validate a wide range of models (actuarial, financial, pricing, risk and AI — including ML, LLM and generative AI) by assessing their assumptions, methodologies and risk levels.
Ensure regulatory and governance compliance, including adherence to CMHC’s Model Risk Management Policy, OSFI’s E-23 guideline, IFRS 17 standards and regulatory capital frameworks.
Apply rigorous quantitative methods and structured monitoring, including econometrics, economic capital modelling, and statistical analysis (Python, R, SAS), while establishing performance metrics, comprehensive documentation and change management controls.
Co-develop and maintain quantitative models used for underwriting, pricing, stress testing, capital adequacy, business analytics and automated tools, ensuring full lifecycle management in accordance with model risk management policies.
Provide technical and analytical expertise.
Requirements
Postgraduate degree or higher in quantitative disciplines such as finance, mathematics, economics, statistics or actuarial sciences
Nice to have: Actuarial or risk management designation (FCIA, FSA, FRM, PRM or equivalent)
Nice to have: Knowledge of large language models (LLMs) and agentic AI frameworks
Nice to have: Experience with generative AI (GenAI) tools and big data ecosystems (Hadoop, HDFS, Hive, Spark)
Nice to have: Experience in a regulatory environment or with OSFI supervisory processes
Work with stakeholders across the organization to align how data is defined and reported so results are consistent across actuarial and other reporting.
Senior Specialist, ModellingCanada Mortgage and Housing Corporation (CMHC) · Ottawa, Canada+5 more
In-Force Solutions ManagerSwiss Re · Toronto, Canada
Sr. Actuarial AnalystPalomar · La Jolla, US+1 more